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Date: 20260708 Articles: 400 Scope: curated summary

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私たちそれぞれが個別にAIを使って情報収集し、同じような3行要約を作るたびに、世界中で膨大な電力と計算リソースが消費されています。 本プロジェクトは、あらかじめ広範な情報を取得・集約しておくことで、個別のAI実行回数を減らし、地球環境(GPU/TPU負荷)に配慮した効率的な情報収集を目指す実験的なダッシュボードです。

Domain filters
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#AIタグ

【8】2026年下半期・下一桁日占い 豊かさを巡らせる

【8】2026年下半期・下一桁日占い 豊かさを巡らせる
Hugging Face Papers

AlayaWorld: Long-Horizon and Playable Video World Generation

AlayaWorld: Long-Horizon and Playable Video World Generation
Hugging Face Papers

Vision as Unified Multimodal Generation

Vision as Unified Multimodal Generation
Hugging Face Papers

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory
Hugging Face Papers

Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning

Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning
Hugging Face Papers

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Hugging Face Papers

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
Hugging Face Papers

Gemma 4 Technical Report

Gemma 4 Technical Report
Hugging Face Papers

MentalThink: Shaping Thoughts in Mental SVG World

MentalThink: Shaping Thoughts in Mental SVG World
Hugging Face Papers

TREK: Distill to Explore, Reinforce to Refine

TREK: Distill to Explore, Reinforce to Refine
Hugging Face Papers

TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training

TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Hugging Face Papers

DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation

DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
Hugging Face Papers

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding
Hugging Face Papers

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models
Hugging Face Papers

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation

RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation
Hugging Face Papers

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation
Hugging Face Papers

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
Hugging Face Papers

PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation

PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
Hugging Face Papers

When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers

When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers
Hugging Face Papers

3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance

3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance
Hugging Face Papers

MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs

MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
Hugging Face Papers

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
Hugging Face Papers

SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models

SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models
Hugging Face Papers

CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation

CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation
Hugging Face Papers

Layer-wise Cross-Lingual Depression Detection from Speech: Analysis with Contrastive Alignment

Layer-wise Cross-Lingual Depression Detection from Speech: Analysis with Contrastive Alignment
Hugging Face Papers

Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator

Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator
Hugging Face Papers

Previous

Previous
#AIタグ

第1話たった1回のクリックで、2年分のエアドロが消えた話

第1話たった1回のクリックで、2年分のエアドロが消えた話
#AIタグ

また悩みすぎて辛くなっていたので「低めの目標設定」をした。サブテーマは「AIはカウンセラーになれるのか」

また悩みすぎて辛くなっていたので「低めの目標設定」をした。サブテーマは「AIはカウンセラーになれるのか」
#AIタグ

第1話 記録上、娘は18年前に死亡しています

第1話 記録上、娘は18年前に死亡しています
#AIタグ

マイペースな娘 ほしねこ【黒猫一家の日常】

マイペースな娘 ほしねこ【黒猫一家の日常】
#AIタグ

記憶を辿る香水

記憶を辿る香水
#AIタグ

【Fable5フル活用】eBay輸出で外注が不要になった話。AIに仕事を奪われたのではなく、外注費が消えました。

【Fable5フル活用】eBay輸出で外注が不要になった話。AIに仕事を奪われたのではなく、外注費が消えました。
#AIタグ

メンバーシップを始めた理由。ここでは「結果」ではなく「過程」を残していきます。

メンバーシップを始めた理由。ここでは「結果」ではなく「過程」を残していきます。
#AIタグ

AI疲れ

AI疲れ
#AIタグ

はじめまして。AIZORIAへようこそ。

はじめまして。AIZORIAへようこそ。
#AIタグ

AIに「YouTubeで一発当てたい」と真剣に相談してみた

AIに「YouTubeで一発当てたい」と真剣に相談してみた
#AIタグ

AIが答えを出す時代に、人間は何に意味を見出すのか。|問いを探す人たち vol.8(81雑談会)

AIが答えを出す時代に、人間は何に意味を見出すのか。|問いを探す人たち vol.8(81雑談会)
#AIタグ

バイト終了のお知らせ。月収60,000ドル(日本円で約900万円)実現!!海外AIを1回設定して、顔出しなしで動画自動化の全手順スマホ完結

バイト終了のお知らせ。月収60,000ドル(日本円で約900万円)実現!!海外AIを1回設定して、顔出しなしで動画自動化の全手順スマホ完結
#AIタグ

夫 よいねこ【黒猫一家の日常】

夫 よいねこ【黒猫一家の日常】
#AIタグ

7/8 多摩川11R 自信度: 30%

7/8 多摩川11R 自信度: 30%
#AIタグ

Kling AIで魔法陣を描いてみた。理想と現実、その先へ

Kling AIで魔法陣を描いてみた。理想と現実、その先へ
#AIタグ

「ヘッダーの文章が思いつかない」を減らしたい話

「ヘッダーの文章が思いつかない」を減らしたい話
#AIタグ

第1章:AI時代の表計算仕事術(執筆準備中)

第1章:AI時代の表計算仕事術(執筆準備中)
#AIタグ

アメリカのサイバーセキュリティ機関は、トランプ大統領が嫌うAIを導入しています

アメリカのサイバーセキュリティ機関は、トランプ大統領が嫌うAIを導入しています
#AIタグ

【記事】AIの進化で将棋はどう変わった?(2026年夏号)

【記事】AIの進化で将棋はどう変わった?(2026年夏号)
#AIタグ

配信ペースに正解はある?Yuuが実践しているAI音楽の届け方

配信ペースに正解はある?Yuuが実践しているAI音楽の届け方
#AIタグ

LG 16Z90U-GU88J gram Pro レビュー比較まとめ

LG 16Z90U-GU88J gram Pro レビュー比較まとめ
#AIタグ

月数ドルで自律コーディング—中国GLM-5.2が突きつける「乗り換えるべきか」問題

月数ドルで自律コーディング—中国GLM-5.2が突きつける「乗り換えるべきか」問題
#AIタグ

AIランサムウェアが「自動」で攻撃を完遂する時代—初のエージェント型JADEPUFFERを冷静に読む

AIランサムウェアが「自動」で攻撃を完遂する時代—初のエージェント型JADEPUFFERを冷静に読む
#AIタグ

AIは「答えをくれる道具」ではなく、「人生の相棒」になった話

AIは「答えをくれる道具」ではなく、「人生の相棒」になった話
AI News & Artificial Intelligence | TechCrunch

AI chip maker SambaNova raises $1B at $11B valuation, 5 months after last mega round

AI chip maker SambaNova raises $1B at $11B valuation, 5 months after last mega round
MarkTechPost

NVIDIA’s Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers

NVIDIA’s Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers
#LLMタグ

「奥様のスマホからの衝撃」――60代・ビジネスパーソンのS.Kamoharaさんが、AI活用の本質を掴むまで

「奥様のスマホからの衝撃」――60代・ビジネスパーソンのS.Kamoharaさんが、AI活用の本質を掴むまで
#LLMタグ

GPT-5.6が木曜公開へ。今のうちに知っておくべきSol・Terra・Lunaの違い

GPT-5.6が木曜公開へ。今のうちに知っておくべきSol・Terra・Lunaの違い
ITmedia NEWS 最新記事一覧

サーバ投資で250億円未払いか 顧客ら、会社を詐欺罪で東京地検特捜部に刑事告訴

サーバ投資で250億円未払いか 顧客ら、会社を詐欺罪で東京地検特捜部に刑事告訴
ITmedia NEWS 最新記事一覧

「060」番号の提供が延期に 通信4社 当初の開始予定は7月

「060」番号の提供が延期に 通信4社 当初の開始予定は7月
LLMタグが付けられた新着記事 - Qiita

JSON mode が通るのに schema validation で落ちたので切り分けた

JSON mode が通るのに schema validation で落ちたので切り分けた
LLMタグが付けられた新着記事 - Qiita

Gemini 3.5 ProはLooped Transformerなのか?

Gemini 3.5 ProはLooped Transformerなのか?
#LLMタグ

【随時更新】Claudeの最新機能とは?おすすめ記事まとめ

【随時更新】Claudeの最新機能とは?おすすめ記事まとめ
#LLMタグ

「APIの仕組みを掘る」――リクエスト・レスポンス・JSON、チャット画面の裏側が見える話

「APIの仕組みを掘る」――リクエスト・レスポンス・JSON、チャット画面の裏側が見える話
#LLMタグ

「ブラウザとWebサーバの関係」――URLを打つと何が起きるか

「ブラウザとWebサーバの関係」――URLを打つと何が起きるか
LLMタグが付けられた新着記事 - Qiita

ASR → LLM → TTS を「リアルタイム」にするには? RTF と応答遅延の勘所

ASR → LLM → TTS を「リアルタイム」にするには? RTF と応答遅延の勘所
ITmedia NEWS 最新記事一覧

「GPT-5.6」木曜に一般公開へ 米政府と調整→限定プレビュー経て

「GPT-5.6」木曜に一般公開へ 米政府と調整→限定プレビュー経て
ITmedia NEWS 最新記事一覧

三重県、庁内のUSBメモリ調査でマルウェア47個検知 陸自の報道受け1万個超を一斉調査

三重県、庁内のUSBメモリ調査でマルウェア47個検知 陸自の報道受け1万個超を一斉調査
#LLMタグ

量子コンピューターで「情報の生命」は作れるのか? 情報仮想物質を量子回路で作る試み

量子コンピューターで「情報の生命」は作れるのか? 情報仮想物質を量子回路で作る試み
#LLMタグ

Gemma 4 Technical Reportを読む: なぜ実行しやすさまで設計されているのか

Gemma 4 Technical Reportを読む: なぜ実行しやすさまで設計されているのか
機械学習タグが付けられた新着記事 - Qiita

dera AI Weekly Vol.35 — 2026/6/15

dera AI Weekly Vol.35 — 2026/6/15
WIRED

We-Vibe Discount Codes and Deals: Up to 60% Off

We-Vibe Discount Codes and Deals: Up to 60% Off
WIRED

Vimeo Promo Codes and Discounts: Up to 40% Off This July 2026

Vimeo Promo Codes and Discounts: Up to 40% Off This July 2026
WIRED

TurboTax Full Service Coupons This July

TurboTax Full Service Coupons This July
WIRED

Lowe’s Promo Codes and Deals: Up to $300 Off Appliances

Lowe’s Promo Codes and Deals: Up to $300 Off Appliances
WIRED

Columbia Promo Codes: 15% Off | July 2026

Columbia Promo Codes: 15% Off | July 2026
WIRED

20% Off Brooks Promo Code | July 2026

20% Off Brooks Promo Code | July 2026
WIRED

Valvoline Coupons and Promo Codes for July 2026

Valvoline Coupons and Promo Codes for July 2026
WIRED

Best Buy Discount Codes: Up to 60% Off

Best Buy Discount Codes: Up to 60% Off
WIRED

Groupon Promo Codes: 60% Off in July 2026

Groupon Promo Codes: 60% Off in July 2026
WIRED

H&R Block Coupon: 25% Off DIY + Tax Pro Assist

H&R Block Coupon: 25% Off DIY + Tax Pro Assist
WIRED

LegalZoom Promo Code: Exclusive 10% Off LLC Formations

LegalZoom Promo Code: Exclusive 10% Off LLC Formations
WIRED

KitchenAid Promo Codes: Save Up to 20%

KitchenAid Promo Codes: Save Up to 20%
WIRED

Litter-Robot Promo Codes: Up to $150 Off

Litter-Robot Promo Codes: Up to $150 Off
WIRED

Tuft & Needle Promo Codes: 30% Off | July 2026

Tuft & Needle Promo Codes: 30% Off | July 2026
#LLMタグ

AIを導入しても、なぜ現場は楽にならないのか

AIを導入しても、なぜ現場は楽にならないのか
#LLMタグ

AIと人間の「思考」は何が違うのか ~ 2026年、3つの研究が揃った

AIと人間の「思考」は何が違うのか ~ 2026年、3つの研究が揃った
LLMタグが付けられた新着記事 - Qiita

エージェント用途の Claude Fable 5:ツールコール拒否と GLM 5.2 とのコスト比較

エージェント用途の Claude Fable 5:ツールコール拒否と GLM 5.2 とのコスト比較
機械学習タグが付けられた新着記事 - Qiita

『検証済み』の偽記憶でAIエージェントに安全確認を省かせるFARMA

『検証済み』の偽記憶でAIエージェントに安全確認を省かせるFARMA
ITmedia NEWS 最新記事一覧

参考資料を自ら探す画像生成AI、Metaが開発 “長考”でクオリティー向上も

参考資料を自ら探す画像生成AI、Metaが開発 “長考”でクオリティー向上も
ITmedia NEWS 最新記事一覧

ゲーム会社「ガンホー」元システム本部長を逮捕、架空発注で4000万円背任疑い 警視庁

ゲーム会社「ガンホー」元システム本部長を逮捕、架空発注で4000万円背任疑い 警視庁
#LLMタグ

AIの文字起こしがそのまま議事録に使えない3つの理由 — 固有名詞・話者・専門用語を直す

AIの文字起こしがそのまま議事録に使えない3つの理由 — 固有名詞・話者・専門用語を直す
cs.LG updates on arXiv.org

Statistically Meaningful Geometry and Gauge Symmetry Breaking: A Geometric Foundation for Scientific Discovery and Intelligence Emergence

Statistically Meaningful Geometry and Gauge Symmetry Breaking: A Geometric Foundation for Scientific Discovery and Intelligence Emergence
cs.LG updates on arXiv.org

Design-CP: Context Parallelism for Design of Protein Nanoparticles

Design-CP: Context Parallelism for Design of Protein Nanoparticles
cs.LG updates on arXiv.org

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction
cs.LG updates on arXiv.org

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error
cs.LG updates on arXiv.org

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates
cs.LG updates on arXiv.org

Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests

Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests
cs.LG updates on arXiv.org

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning
cs.LG updates on arXiv.org

AdaStop: Cost-Aware Early Stopping for DNN Test Selection

AdaStop: Cost-Aware Early Stopping for DNN Test Selection
cs.LG updates on arXiv.org

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes
cs.LG updates on arXiv.org

Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy
cs.LG updates on arXiv.org

Parameter-Free Encoders Remain Viable for RDB Foundation Models

Parameter-Free Encoders Remain Viable for RDB Foundation Models
cs.LG updates on arXiv.org

InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs

InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs
cs.LG updates on arXiv.org

PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates

PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates
cs.LG updates on arXiv.org

$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse

$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse
cs.LG updates on arXiv.org

Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation

Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation
cs.LG updates on arXiv.org

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids
cs.LG updates on arXiv.org

EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation

EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation
cs.LG updates on arXiv.org

SafeImpute: Reliable Clinical Data Imputation via Conformal Selection

SafeImpute: Reliable Clinical Data Imputation via Conformal Selection
cs.LG updates on arXiv.org

A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models

A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models
cs.LG updates on arXiv.org

Safe Bayesian Optimization with Counterfactual Policies

Safe Bayesian Optimization with Counterfactual Policies
cs.LG updates on arXiv.org

Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
cs.LG updates on arXiv.org

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift
cs.LG updates on arXiv.org

Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces

Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces
cs.LG updates on arXiv.org

Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order Pickers

Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order Pickers
cs.LG updates on arXiv.org

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation
cs.LG updates on arXiv.org

FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
cs.LG updates on arXiv.org

Low-Overhead Error-Corrected QCNNs Using Bivariate Bicycle Codes

Low-Overhead Error-Corrected QCNNs Using Bivariate Bicycle Codes
cs.LG updates on arXiv.org

Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings

Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings
cs.LG updates on arXiv.org

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
cs.LG updates on arXiv.org

Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting

Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting
cs.LG updates on arXiv.org

Level-Crossing Density as a Mesh-Free High-Frequency Auxiliary Loss for Implicit Neural Representations

Level-Crossing Density as a Mesh-Free High-Frequency Auxiliary Loss for Implicit Neural Representations
cs.LG updates on arXiv.org

Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch

Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch
cs.LG updates on arXiv.org

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking

AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking
cs.LG updates on arXiv.org

Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns

Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns
cs.LG updates on arXiv.org

Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations

Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations
cs.LG updates on arXiv.org

Differentially Private Natural Gradient Descent

Differentially Private Natural Gradient Descent
cs.LG updates on arXiv.org

No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training

No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training
cs.LG updates on arXiv.org

Auditing of Unlearning Algorithms

Auditing of Unlearning Algorithms
cs.LG updates on arXiv.org

K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation)

K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation)
cs.LG updates on arXiv.org

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges
cs.LG updates on arXiv.org

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift
cs.LG updates on arXiv.org

Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants

Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants
cs.LG updates on arXiv.org

Stability Annealing Selects the Implicit Bias of Smoothed Sign Descent: A Rate-Indexed Barrier Path on Separable Data

Stability Annealing Selects the Implicit Bias of Smoothed Sign Descent: A Rate-Indexed Barrier Path on Separable Data
cs.LG updates on arXiv.org

Learning When to Automate: Queue Control in Human-AI Service Systems

Learning When to Automate: Queue Control in Human-AI Service Systems
cs.LG updates on arXiv.org

SplineNet: An Isogeometric Deep Learning Method for Complex Shells

SplineNet: An Isogeometric Deep Learning Method for Complex Shells
cs.LG updates on arXiv.org

Scalable Perturbation Learning for Online Self-Supervised Echo State Networks

Scalable Perturbation Learning for Online Self-Supervised Echo State Networks
cs.LG updates on arXiv.org

Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems

Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems
cs.LG updates on arXiv.org

x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability

x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability
cs.LG updates on arXiv.org

Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding

Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding
cs.LG updates on arXiv.org

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning
cs.LG updates on arXiv.org

X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models
cs.LG updates on arXiv.org

Canopy: A Heterograph Foundation Model for Metabolic Engineering

Canopy: A Heterograph Foundation Model for Metabolic Engineering
cs.LG updates on arXiv.org

Quantitative Gaussian-Process limits of Tensor Programs

Quantitative Gaussian-Process limits of Tensor Programs
cs.LG updates on arXiv.org

Physics-Informed Neural Embeddings of PDE Solution Families

Physics-Informed Neural Embeddings of PDE Solution Families
cs.LG updates on arXiv.org

TILDE: TILt-based Distributional Erasure for Concept Unlearning

TILDE: TILt-based Distributional Erasure for Concept Unlearning
cs.LG updates on arXiv.org

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning
cs.LG updates on arXiv.org

GraphBU: MILP Instance Generation with Graph-Native Block Units

GraphBU: MILP Instance Generation with Graph-Native Block Units
cs.LG updates on arXiv.org

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
cs.LG updates on arXiv.org

Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge

Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge
cs.LG updates on arXiv.org

Broken Ergodicity and the Violation of the Fluctuation-Dissipation Theorem Lead to Generalization Beyond Overfitting in Machine Learning

Broken Ergodicity and the Violation of the Fluctuation-Dissipation Theorem Lead to Generalization Beyond Overfitting in Machine Learning
cs.LG updates on arXiv.org

Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators

Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators
cs.LG updates on arXiv.org

Life Cycle Assessment of Pre-training the Lucie 7B Open-Source Large Language Model on the Jean Zay Supercomputer

Life Cycle Assessment of Pre-training the Lucie 7B Open-Source Large Language Model on the Jean Zay Supercomputer
cs.LG updates on arXiv.org

A Task-Driven Evaluation of UAV Detection and Tracking under Synthetic Fog

A Task-Driven Evaluation of UAV Detection and Tracking under Synthetic Fog
cs.LG updates on arXiv.org

Full-range Binary Classifier Calibration for Stable Model Updates in Production

Full-range Binary Classifier Calibration for Stable Model Updates in Production
cs.LG updates on arXiv.org

SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR

SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR
cs.LG updates on arXiv.org

Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks

Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks
cs.LG updates on arXiv.org

Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets

Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets
cs.LG updates on arXiv.org

Higher-Order Certified Robustness for Regression

Higher-Order Certified Robustness for Regression
cs.LG updates on arXiv.org

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity
cs.LG updates on arXiv.org

Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO)

Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO)
cs.LG updates on arXiv.org

DBNN: Neural Spike Classification Using a Deep Binarized Neural Network

DBNN: Neural Spike Classification Using a Deep Binarized Neural Network
cs.LG updates on arXiv.org

To Retain or to Adapt? Generalizing Continual Learning

To Retain or to Adapt? Generalizing Continual Learning
cs.LG updates on arXiv.org

Taxlifier: Leveraging Disease Taxonomy for Enhanced Multi-Label Classification in Chest Radiography

Taxlifier: Leveraging Disease Taxonomy for Enhanced Multi-Label Classification in Chest Radiography
cs.LG updates on arXiv.org

REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles

REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles
cs.LG updates on arXiv.org

Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting

Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting
cs.LG updates on arXiv.org

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors
cs.LG updates on arXiv.org

Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential Mamba

Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential Mamba
cs.LG updates on arXiv.org

Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES

Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES
cs.LG updates on arXiv.org

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking
cs.LG updates on arXiv.org

IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction

IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction
cs.LG updates on arXiv.org

Association Restoration Test: Revealing Restorable Shortcuts after Unlearning

Association Restoration Test: Revealing Restorable Shortcuts after Unlearning
cs.LG updates on arXiv.org

Width-Robust Learnability in Mean-Field Bayesian Neural Networks

Width-Robust Learnability in Mean-Field Bayesian Neural Networks
cs.LG updates on arXiv.org

From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins for Predictive and Autonomous Microscopy

From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins for Predictive and Autonomous Microscopy
cs.LG updates on arXiv.org

Boosting with List-Decodable Codes

Boosting with List-Decodable Codes
cs.LG updates on arXiv.org

Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure

Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure
cs.LG updates on arXiv.org

Contextual Procurement Auctions with Bandit Learning

Contextual Procurement Auctions with Bandit Learning
cs.LG updates on arXiv.org

Latency-Constrained Hardware-Aware Quantum Error Correction Co-Design with Adaptive Confidence-Gated Neural Decoding for the Rotated Surface Code

Latency-Constrained Hardware-Aware Quantum Error Correction Co-Design with Adaptive Confidence-Gated Neural Decoding for the Rotated Surface Code
cs.LG updates on arXiv.org

On the Condition Number Upper Bound of the L-BFGS Inverse Hessian Approximation Matrix with a Two-Sided Geometric Envelope Safeguarding Mechanism

On the Condition Number Upper Bound of the L-BFGS Inverse Hessian Approximation Matrix with a Two-Sided Geometric Envelope Safeguarding Mechanism
cs.LG updates on arXiv.org

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization
cs.LG updates on arXiv.org

Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation

Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation
cs.LG updates on arXiv.org

On the convergence of graph Laplacians with a symmetric divergence

On the convergence of graph Laplacians with a symmetric divergence
cs.LG updates on arXiv.org

Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices

Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices
cs.LG updates on arXiv.org

Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding

Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding
cs.LG updates on arXiv.org

Is Domain Adaptation Always Helpful? A Frozen-Backbone Study of Cross-Domain Sentiment Transfer

Is Domain Adaptation Always Helpful? A Frozen-Backbone Study of Cross-Domain Sentiment Transfer
cs.LG updates on arXiv.org

Discovering Frequent Closed Embedded Sub-DAGs in Spatio-Temporal Event Data

Discovering Frequent Closed Embedded Sub-DAGs in Spatio-Temporal Event Data
cs.LG updates on arXiv.org

Multi-Channel Spread-Spectrum Code Watermarking

Multi-Channel Spread-Spectrum Code Watermarking
cs.LG updates on arXiv.org

REAN: Reconstruction-aware ECG Anonymization Based on Privacy--Utility Orthogonality

REAN: Reconstruction-aware ECG Anonymization Based on Privacy--Utility Orthogonality
cs.LG updates on arXiv.org

Separation Capacity of Scattering Networks on Low-Dimensional Datasets

Separation Capacity of Scattering Networks on Low-Dimensional Datasets
cs.LG updates on arXiv.org

Determinantal point process sampling for bioacoustic active learning

Determinantal point process sampling for bioacoustic active learning
cs.LG updates on arXiv.org

6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection

6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection
cs.LG updates on arXiv.org

Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time
cs.LG updates on arXiv.org

Enhanced Seam Segmentation for Automated Welding Robot in Construction Through Transfer Learning: Addressing Limitations of Bilateral Segmentation Network

Enhanced Seam Segmentation for Automated Welding Robot in Construction Through Transfer Learning: Addressing Limitations of Bilateral Segmentation Network
cs.LG updates on arXiv.org

Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design

Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design
cs.LG updates on arXiv.org

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios

TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios
cs.LG updates on arXiv.org

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions
cs.LG updates on arXiv.org

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems
cs.LG updates on arXiv.org

Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension

Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension
cs.LG updates on arXiv.org

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy
cs.LG updates on arXiv.org

Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement

Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement
cs.LG updates on arXiv.org

A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel
cs.LG updates on arXiv.org

Learning to Throw Objects Safely in Multi-Obstacle Environments

Learning to Throw Objects Safely in Multi-Obstacle Environments
cs.LG updates on arXiv.org

What Images Cannot Say: Language-Guided Olfactory Representation Learning

What Images Cannot Say: Language-Guided Olfactory Representation Learning
cs.LG updates on arXiv.org

Provable learning separation for predicting time-evolution of quantum many-body systems

Provable learning separation for predicting time-evolution of quantum many-body systems
cs.LG updates on arXiv.org

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles
cs.LG updates on arXiv.org

Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine

Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine
cs.LG updates on arXiv.org

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology

The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology
cs.LG updates on arXiv.org

ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation

ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
cs.LG updates on arXiv.org

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
cs.LG updates on arXiv.org

DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised

DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised
cs.LG updates on arXiv.org

Trust-free Personalized Decentralized Learning

Trust-free Personalized Decentralized Learning
cs.LG updates on arXiv.org

Universality of Benign Overfitting in Binary Linear Classification

Universality of Benign Overfitting in Binary Linear Classification
cs.LG updates on arXiv.org

The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer

The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer
cs.LG updates on arXiv.org

Supervised Reward Inference

Supervised Reward Inference
cs.LG updates on arXiv.org

MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback

MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
cs.LG updates on arXiv.org

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
cs.LG updates on arXiv.org

Explainable embeddings with Distance Explainer

Explainable embeddings with Distance Explainer
cs.LG updates on arXiv.org

Temporal Variational Implicit Neural Representations

Temporal Variational Implicit Neural Representations
cs.LG updates on arXiv.org

Learning The Minimum Action Distance

Learning The Minimum Action Distance
cs.LG updates on arXiv.org

Variational Learning of Disentangled Representations

Variational Learning of Disentangled Representations
cs.LG updates on arXiv.org

Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization

Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization
cs.LG updates on arXiv.org

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
cs.LG updates on arXiv.org

FedDAF: Federated Domain Adaptation Using Model Functional Distance

FedDAF: Federated Domain Adaptation Using Model Functional Distance
cs.LG updates on arXiv.org

How Can Mamba Learn In Context with Outliers and Generalize Provably?

How Can Mamba Learn In Context with Outliers and Generalize Provably?
cs.LG updates on arXiv.org

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics
cs.LG updates on arXiv.org

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors
cs.LG updates on arXiv.org

Solver-Integrated Adversarial Attacking and Training of Neural Operators

Solver-Integrated Adversarial Attacking and Training of Neural Operators
cs.LG updates on arXiv.org

SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks

SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks
cs.LG updates on arXiv.org

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
cs.LG updates on arXiv.org

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment
cs.LG updates on arXiv.org

Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics

Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics
cs.LG updates on arXiv.org

PGOT: A Physics-Geometry Operator Transformer for Complex PDEs

PGOT: A Physics-Geometry Operator Transformer for Complex PDEs
cs.LG updates on arXiv.org

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
cs.LG updates on arXiv.org

SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines

SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines
cs.LG updates on arXiv.org

FlexAct: Why Learn when you can Pick?

FlexAct: Why Learn when you can Pick?
cs.LG updates on arXiv.org

Geometric Stability: The Missing Axis of Representations

Geometric Stability: The Missing Axis of Representations
cs.LG updates on arXiv.org

Factorizable joint shift revisited

Factorizable joint shift revisited
cs.LG updates on arXiv.org

A Constrained Optimization Perspective of Unrolled Transformers

A Constrained Optimization Perspective of Unrolled Transformers
cs.LG updates on arXiv.org

GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning

GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning
cs.LG updates on arXiv.org

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
cs.LG updates on arXiv.org

StepShield: When, Not Whether to Intervene on Rogue Agents

StepShield: When, Not Whether to Intervene on Rogue Agents
cs.LG updates on arXiv.org

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
cs.LG updates on arXiv.org

Universal Algorithm-Implicit Learning

Universal Algorithm-Implicit Learning
cs.LG updates on arXiv.org

Transformers converge to invariant algorithmic cores

Transformers converge to invariant algorithmic cores
cs.LG updates on arXiv.org

Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure

Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
cs.LG updates on arXiv.org

Leech Lattice Vector Quantization for Efficient LLM Compression

Leech Lattice Vector Quantization for Efficient LLM Compression
cs.LG updates on arXiv.org

Channel-wise Retrieval for Multivariate Time Series Forecasting

Channel-wise Retrieval for Multivariate Time Series Forecasting
cs.LG updates on arXiv.org

Fine-Tuning Regimes Define Distinct Continual Learning Problems

Fine-Tuning Regimes Define Distinct Continual Learning Problems
cs.LG updates on arXiv.org

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
cs.LG updates on arXiv.org

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning

PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
cs.LG updates on arXiv.org

MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data
cs.LG updates on arXiv.org

Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning

Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning
cs.LG updates on arXiv.org

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training
cs.LG updates on arXiv.org

Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems

Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems
cs.LG updates on arXiv.org

GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators

GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators
cs.LG updates on arXiv.org

SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History

SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
cs.LG updates on arXiv.org

On the Redundancy of Timestep Embeddings in Diffusion Models

On the Redundancy of Timestep Embeddings in Diffusion Models
cs.LG updates on arXiv.org

Reproducibility Study of "AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models"

Reproducibility Study of "AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models"
cs.LG updates on arXiv.org

Active Quantum Kernel Acquisition for Gaussian Process Regression

Active Quantum Kernel Acquisition for Gaussian Process Regression
cs.LG updates on arXiv.org

When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets

When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets
cs.LG updates on arXiv.org

Token Geometry

Token Geometry
cs.LG updates on arXiv.org

PHOENIX: Resilient LLM Training with Hot-Swapping via Zero-Overhead Checkpoint

PHOENIX: Resilient LLM Training with Hot-Swapping via Zero-Overhead Checkpoint
cs.LG updates on arXiv.org

Learning the Supports for Categorical Critic in Reinforcement Learning

Learning the Supports for Categorical Critic in Reinforcement Learning
cs.LG updates on arXiv.org

Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers

Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers
cs.LG updates on arXiv.org

Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches

Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
cs.LG updates on arXiv.org

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
cs.LG updates on arXiv.org

Classification of Financial Data Using Quantum Support Vector Machine

Classification of Financial Data Using Quantum Support Vector Machine
cs.LG updates on arXiv.org

Benign Overfitting with Quantum Kernels

Benign Overfitting with Quantum Kernels
cs.LG updates on arXiv.org

HERB: Human-augmented Efficient Reinforcement learning for Bin-packing

HERB: Human-augmented Efficient Reinforcement learning for Bin-packing
cs.LG updates on arXiv.org

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
cs.LG updates on arXiv.org

Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences

Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences
cs.LG updates on arXiv.org

MASCA: LLM based-Multi Agents System for Credit Assessment

MASCA: LLM based-Multi Agents System for Credit Assessment
cs.LG updates on arXiv.org

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
cs.LG updates on arXiv.org

Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner

Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner
cs.LG updates on arXiv.org

Base Models Know How to Reason, Thinking Models Learn When

Base Models Know How to Reason, Thinking Models Learn When
cs.LG updates on arXiv.org

A Fast Binary Splitting Approach for Non-Adaptive Learning of Erd\H{o}s--R\'enyi Graphs

A Fast Binary Splitting Approach for Non-Adaptive Learning of Erd\H{o}s--R\'enyi Graphs
cs.LG updates on arXiv.org

No-Regret Gaussian Process Optimization of Time-Varying Functions

No-Regret Gaussian Process Optimization of Time-Varying Functions
cs.LG updates on arXiv.org

A Comparative Study of EMG- and IMU-based Gesture Recognition at the Wrist and Forearm

A Comparative Study of EMG- and IMU-based Gesture Recognition at the Wrist and Forearm
cs.LG updates on arXiv.org

SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models

SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
cs.LG updates on arXiv.org

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention

RayRoPE: Projective Ray Positional Encoding for Multi-view Attention
cs.LG updates on arXiv.org

Reliable Mislabel Detection for Video Capsule Endoscopy Data

Reliable Mislabel Detection for Video Capsule Endoscopy Data
cs.LG updates on arXiv.org

Conformal Prediction Sets for Instance Segmentation

Conformal Prediction Sets for Instance Segmentation
cs.LG updates on arXiv.org

A Gibbs posterior sampler for inverse problem based on prior diffusion model

A Gibbs posterior sampler for inverse problem based on prior diffusion model
cs.LG updates on arXiv.org

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
cs.LG updates on arXiv.org

Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique

Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique
cs.LG updates on arXiv.org

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
cs.LG updates on arXiv.org

What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection

What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
cs.LG updates on arXiv.org

Towards Interpretable Foundation Models for Retinal Fundus Images

Towards Interpretable Foundation Models for Retinal Fundus Images
cs.LG updates on arXiv.org

DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising

DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising
cs.LG updates on arXiv.org

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
cs.LG updates on arXiv.org

Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates

Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates
cs.LG updates on arXiv.org

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Constrained Neural Network

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Constrained Neural Network
cs.LG updates on arXiv.org

Model-based Bootstrap of Controlled Markov Chains

Model-based Bootstrap of Controlled Markov Chains
cs.LG updates on arXiv.org

A semantic mutation metric for metamorphic relation adequacy in scientific computing programs

A semantic mutation metric for metamorphic relation adequacy in scientific computing programs
cs.LG updates on arXiv.org

Parameter-Free and Group Conditional Online Conformal Prediction

Parameter-Free and Group Conditional Online Conformal Prediction
cs.LG updates on arXiv.org

Distribution-free changepoint localization after sequential change detection

Distribution-free changepoint localization after sequential change detection
cs.LG updates on arXiv.org

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cs.LG updates on arXiv.org

CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention

CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention
cs.LG updates on arXiv.org

DanceOPD: On-Policy Generative Field Distillation

DanceOPD: On-Policy Generative Field Distillation
cs.LG updates on arXiv.org

Robust Bayes-Assisted Conformal Prediction

Robust Bayes-Assisted Conformal Prediction
cs.LG updates on arXiv.org

Wan-Streamer v0.2: Higher Resolution, Same Latency

Wan-Streamer v0.2: Higher Resolution, Same Latency
cs.LG updates on arXiv.org

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction
cs.LG updates on arXiv.org

Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces

Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces
cs.LG updates on arXiv.org

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Unified Audio Intelligence Without Regressing on Text Intelligence
cs.LG updates on arXiv.org

Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection

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cs.LG updates on arXiv.org

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Multiplayer Interactive World Models with Representation Autoencoders
cs.LG updates on arXiv.org

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stat.ML updates on arXiv.org

Higher-Order Certified Robustness for Regression

Higher-Order Certified Robustness for Regression
stat.ML updates on arXiv.org

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity
stat.ML updates on arXiv.org

To Retain or to Adapt? Generalizing Continual Learning

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stat.ML updates on arXiv.org

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking

Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking
stat.ML updates on arXiv.org

Width-Robust Learnability in Mean-Field Bayesian Neural Networks

Width-Robust Learnability in Mean-Field Bayesian Neural Networks
stat.ML updates on arXiv.org

Boosting with List-Decodable Codes

Boosting with List-Decodable Codes
stat.ML updates on arXiv.org

On the convergence of graph Laplacians with a symmetric divergence

On the convergence of graph Laplacians with a symmetric divergence
stat.ML updates on arXiv.org

Separation Capacity of Scattering Networks on Low-Dimensional Datasets

Separation Capacity of Scattering Networks on Low-Dimensional Datasets
stat.ML updates on arXiv.org

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems
stat.ML updates on arXiv.org

A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

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stat.ML updates on arXiv.org

Exact computation of posterior distribution of mixture weights in hierarchical Bayesian models

Exact computation of posterior distribution of mixture weights in hierarchical Bayesian models
stat.ML updates on arXiv.org

No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training

No Subspace to Track: Non-Identifiability and Optimizer State in Low-Rank Training
stat.ML updates on arXiv.org

Stochastic generator of trajectories from record data: application to the fluctuations of a glacier's frontal position from a sample of moraines

Stochastic generator of trajectories from record data: application to the fluctuations of a glacier's frontal position from a sample of moraines
stat.ML updates on arXiv.org

Closed-form fractional radial links for elliptical Mahalanobis discriminant analysis

Closed-form fractional radial links for elliptical Mahalanobis discriminant analysis
stat.ML updates on arXiv.org

Quantitative Gaussian-Process limits of Tensor Programs

Quantitative Gaussian-Process limits of Tensor Programs
stat.ML updates on arXiv.org

A unified perspective of Gaussian process approximation for differential equations

A unified perspective of Gaussian process approximation for differential equations
stat.ML updates on arXiv.org

Approximate Risk Minimization Over Shrinking-Thresholding Rules in Normal Mean Estimation

Approximate Risk Minimization Over Shrinking-Thresholding Rules in Normal Mean Estimation
stat.ML updates on arXiv.org

Factor-Augmented Machine Learning Panel Regressions

Factor-Augmented Machine Learning Panel Regressions
stat.ML updates on arXiv.org

Feature Learning for the High Dimensional Stationary Sch\"odinger Equation with Deep Ritz Method

Feature Learning for the High Dimensional Stationary Sch\"odinger Equation with Deep Ritz Method
stat.ML updates on arXiv.org

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning
stat.ML updates on arXiv.org

No-Regret Gaussian Process Optimization of Time-Varying Functions

No-Regret Gaussian Process Optimization of Time-Varying Functions
stat.ML updates on arXiv.org

A Gibbs posterior sampler for inverse problem based on prior diffusion model

A Gibbs posterior sampler for inverse problem based on prior diffusion model
stat.ML updates on arXiv.org

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
stat.ML updates on arXiv.org

Model-based Bootstrap of Controlled Markov Chains

Model-based Bootstrap of Controlled Markov Chains
stat.ML updates on arXiv.org

Parameter-Free and Group Conditional Online Conformal Prediction

Parameter-Free and Group Conditional Online Conformal Prediction
stat.ML updates on arXiv.org

Distribution-free changepoint localization after sequential change detection

Distribution-free changepoint localization after sequential change detection
stat.ML updates on arXiv.org

It does what it says on the tin: safe synthetic data from coarsened margins

It does what it says on the tin: safe synthetic data from coarsened margins
stat.ML updates on arXiv.org

Robust Bayes-Assisted Conformal Prediction

Robust Bayes-Assisted Conformal Prediction
stat.ML updates on arXiv.org

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
stat.ML updates on arXiv.org

Universality of Benign Overfitting in Binary Linear Classification

Universality of Benign Overfitting in Binary Linear Classification
stat.ML updates on arXiv.org

Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation

Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation
stat.ML updates on arXiv.org

Benign Overfitting with Quantum Kernels

Benign Overfitting with Quantum Kernels
stat.ML updates on arXiv.org

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
stat.ML updates on arXiv.org

Variational Learning of Disentangled Representations

Variational Learning of Disentangled Representations
stat.ML updates on arXiv.org

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics
stat.ML updates on arXiv.org

Geometric Stability: The Missing Axis of Representations

Geometric Stability: The Missing Axis of Representations
stat.ML updates on arXiv.org

Factorizable joint shift revisited

Factorizable joint shift revisited
stat.ML updates on arXiv.org

Conformal Prediction Sets for Instance Segmentation

Conformal Prediction Sets for Instance Segmentation
stat.ML updates on arXiv.org

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
stat.ML updates on arXiv.org

Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems

Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems
stat.ML updates on arXiv.org

Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding

Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding
stat.ML updates on arXiv.org

Stabilized Higher-Order Influence Functions: Statistical Theory of a Class of Bilinear Forms

Stabilized Higher-Order Influence Functions: Statistical Theory of a Class of Bilinear Forms
stat.ML updates on arXiv.org

The Exact Worst-Case Tail Probability under Bounded Kurtosis

The Exact Worst-Case Tail Probability under Bounded Kurtosis
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#LLMタグ

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#LLMタグ

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MarkTechPost

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#LLMタグ

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Latent.Space

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#LLMタグ

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#LLMタグ

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機械学習タグが付けられた新着記事 - Qiita

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機械学習タグが付けられた新着記事 - Qiita

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#LLMタグ

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AI News & Artificial Intelligence | TechCrunch

Meta just launched a new AI generator, Muse Image, and users are already pushing back over use of their photos

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WIRED

Meta Now Lets Anyone Use Your Instagram Photos in AI Images—Unless You Opt Out

Meta Now Lets Anyone Use Your Instagram Photos in AI Images—Unless You Opt Out
The Verge

Of course viewers are giving up on Netflix shows

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The Verge

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OpenAI’s Chief Futurist Is Leaving the Company
Hugging Face - Blog

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The Verge

Meta’s new Muse Image model can pull other Instagram users into AI photos

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AI News & Artificial Intelligence | TechCrunch

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AI News & Artificial Intelligence | TechCrunch

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The Verge

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