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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。
Hugging Face Papers
Vidu S1: A Real-Time Interactive Video Generation Model
Vidu S1: A Real-Time Interactive Video Generation Model
Hugging Face Papers
Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
Hugging Face Papers
Video-Oasis: Rethinking Evaluation of Video Understanding
Video-Oasis: Rethinking Evaluation of Video Understanding
Hugging Face Papers
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Hugging Face Papers
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Hugging Face Papers
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
Hugging Face Papers
CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
Hugging Face Papers
OpenCoF: Learning to Reason Through Video Generation
OpenCoF: Learning to Reason Through Video Generation
Hugging Face Papers
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
Hugging Face Papers
Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models
Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models
Hugging Face Papers
Enhancing In-context Panoramic Generation via Geometric-aware Pretraining
Enhancing In-context Panoramic Generation via Geometric-aware Pretraining
Hugging Face Papers
A Quantized Native Runtime for On-Device Semantic Audio Generation
A Quantized Native Runtime for On-Device Semantic Audio Generation
Hugging Face Papers
UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma
UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma
Hugging Face Papers
PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution
PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution
Hugging Face Papers
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
Hugging Face Papers
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
Hugging Face Papers
Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
#AIタグ
Graffer’s Way Vol.3 「やりたい！」の一言から、2週間でソブリンAI環境ができるまで
Graffer’s Way Vol.3 「やりたい！」の一言から、2週間でソブリンAI環境ができるまで
#LLMタグ
Grok 4.5登場、性能はOpusクラスで価格は"約半額"。だからこそ持っておきたい、AIの答えを鵜呑みにしない技術
Grok 4.5登場、性能はOpusクラスで価格は"約半額"。だからこそ持っておきたい、AIの答えを鵜呑みにしない技術
#AIタグ
Grok 4.5登場、性能はOpusクラスで価格は"約半額"。だからこそ持っておきたい、AIの答えを鵜呑みにしない技術
Grok 4.5登場、性能はOpusクラスで価格は"約半額"。だからこそ持っておきたい、AIの答えを鵜呑みにしない技術
#AIタグ
【完全攻略】note×Claude Codeで"自分らしい文章"にする書き方の具体手順【4ステップ】
【完全攻略】note×Claude Codeで"自分らしい文章"にする書き方の具体手順【4ステップ】
#AIタグ
リアルタイム音声AIモデルを開発するGradiumがシードラウンドで総額1億ドルの資金調達を実施
リアルタイム音声AIモデルを開発するGradiumがシードラウンドで総額1億ドルの資金調達を実施
#AIタグ
なぜ「お金持ちになりたい」という願いは、叶いにくいのか ― 脳の検索エンジンと、仏教が見抜いた"渇き"
なぜ「お金持ちになりたい」という願いは、叶いにくいのか ― 脳の検索エンジンと、仏教が見抜いた"渇き"
Latent.Space
[AINews] OpenAI launches GPT 5.6 Sol/Terra/Luna, Codex becomes ChatGPT superapp
[AINews] OpenAI launches GPT 5.6 Sol/Terra/Luna, Codex becomes ChatGPT superapp
#LLMタグ
📊 生成AIの統計的検証はどこまで信頼できるか：検出力分析とAIクロス評価で「有意差なし」を検証し直した話【KIS検証・第3弾】
📊 生成AIの統計的検証はどこまで信頼できるか：検出力分析とAIクロス評価で「有意差なし」を検証し直した話【KIS検証・第3弾】
WIRED
Robot Dogs, Teslas, and Rescue Helicopters: The UN AI Summit Was a Lot
Robot Dogs, Teslas, and Rescue Helicopters: The UN AI Summit Was a Lot
LLMタグが付けられた新着記事 - Qiita
GPT-5.6 Sol、Grok 4.5、Meta Watermelon 72時間で書き換わったフロンティア勢力図
GPT-5.6 Sol、Grok 4.5、Meta Watermelon 72時間で書き換わったフロンティア勢力図
WIRED
NordVPN Coupons: 75% Off, Plus 3 Months Free in July 2026
NordVPN Coupons: 75% Off, Plus 3 Months Free in July 2026
#LLMタグ
GLM-5.2、触る前に「これ投げて大丈夫?」を調べた — 中国LLMのリスクを規約と地政学の2層で見る
GLM-5.2、触る前に「これ投げて大丈夫?」を調べた — 中国LLMのリスクを規約と地政学の2層で見る
#LLMタグ
【技術解剖】GLM 5.2──Fable 5停止の翌日に現れた、$1/6コストの「勝手な代替」
【技術解剖】GLM 5.2──Fable 5停止の翌日に現れた、$1/6コストの「勝手な代替」
LLMタグが付けられた新着記事 - Qiita
GLM-5.2、触る前に「これ投げて大丈夫?」を調べた — 中国LLMのリスクを規約と地政学の2層で見る
GLM-5.2、触る前に「これ投げて大丈夫?」を調べた — 中国LLMのリスクを規約と地政学の2層で見る
MarkTechPost
Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
LLMタグが付けられた新着記事 - Qiita
30往復の試行錯誤を「1発で再現するプロンプト」に変える ― Prompt Distillationの科学【LLMと上手く付き合う連載 #6】
30往復の試行錯誤を「1発で再現するプロンプト」に変える ― Prompt Distillationの科学【LLMと上手く付き合う連載 #6】
#LLMタグ
今必要な AI / 自動化 / PLM / API / MCPを纏めて知れる｜「DevCon 2026 東京」の動画で出てました（Fusionも出るそうです）
今必要な AI / 自動化 / PLM / API / MCPを纏めて知れる｜「DevCon 2026 東京」の動画で出てました（Fusionも出るそうです）
ITmedia NEWS 最新記事一覧
経産省、「全東信破産」受け中小支援 特別相談窓口を設置、日本公庫の貸付要件も緩和
経産省、「全東信破産」受け中小支援 特別相談窓口を設置、日本公庫の貸付要件も緩和
cs.LG updates on arXiv.org
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
cs.LG updates on arXiv.org
Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification
Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification
cs.LG updates on arXiv.org
LLT: Local Linear Transformer for PDE Operator Learning
LLT: Local Linear Transformer for PDE Operator Learning
cs.LG updates on arXiv.org
ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
cs.LG updates on arXiv.org
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS--ANS Dynamic
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS--ANS Dynamic
cs.LG updates on arXiv.org
Uncertainty-gated selection for block-sparse attention
Uncertainty-gated selection for block-sparse attention
cs.LG updates on arXiv.org
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
cs.LG updates on arXiv.org
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
cs.LG updates on arXiv.org
Architecture Generalization with MetaNCA
Architecture Generalization with MetaNCA
cs.LG updates on arXiv.org
LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks
LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks
cs.LG updates on arXiv.org
Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation
Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation
cs.LG updates on arXiv.org
A Transdiagnostic Space of Disorder Like Phenotypes in Reinforcement Learning Agents
A Transdiagnostic Space of Disorder Like Phenotypes in Reinforcement Learning Agents
cs.LG updates on arXiv.org
Image classification via a quantum-inspired strategy involving a mixture of experts
Image classification via a quantum-inspired strategy involving a mixture of experts
cs.LG updates on arXiv.org
The Importance of Encoder Choice:A Tabular-Image Study
The Importance of Encoder Choice:A Tabular-Image Study
cs.LG updates on arXiv.org
Scalable and Trustworthy Earth Observation Foundation Models
Scalable and Trustworthy Earth Observation Foundation Models
cs.LG updates on arXiv.org
Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives
Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives
cs.LG updates on arXiv.org
Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models
Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models
cs.LG updates on arXiv.org
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
cs.LG updates on arXiv.org
Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure
Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure
cs.LG updates on arXiv.org
A law of robustness for two-layer neural networks with arbitrary weights
A law of robustness for two-layer neural networks with arbitrary weights
cs.LG updates on arXiv.org
Predicting Pseudo-nitzschia harmful algal blooms along the Portuguese Coast using satellite-derived predictors
Predicting Pseudo-nitzschia harmful algal blooms along the Portuguese Coast using satellite-derived predictors
cs.LG updates on arXiv.org
Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks
Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks
cs.LG updates on arXiv.org
When Does Continual Learning Require Learning
When Does Continual Learning Require Learning
cs.LG updates on arXiv.org
NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL
NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL
cs.LG updates on arXiv.org
Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling
Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling
cs.LG updates on arXiv.org
Optimal Learning Rate Scaling Depends on Data in Deep Scalar Linear Networks
Optimal Learning Rate Scaling Depends on Data in Deep Scalar Linear Networks
cs.LG updates on arXiv.org
Distributed Sketching on Data Partitions for OLS Regression
Distributed Sketching on Data Partitions for OLS Regression
cs.LG updates on arXiv.org
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
cs.LG updates on arXiv.org
Efficient Safety Alignment of Language Models via Latent Personality Traits
Efficient Safety Alignment of Language Models via Latent Personality Traits
cs.LG updates on arXiv.org
path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
cs.LG updates on arXiv.org
Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5
Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5
cs.LG updates on arXiv.org
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing
cs.LG updates on arXiv.org
KronQ: LLM Quantization via Kronecker-Factored Hessian
KronQ: LLM Quantization via Kronecker-Factored Hessian
cs.LG updates on arXiv.org
Provably Optimal Learning Algorithms for Assistance Games
Provably Optimal Learning Algorithms for Assistance Games
cs.LG updates on arXiv.org
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems
cs.LG updates on arXiv.org
PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-scale Physics Simulations
PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-scale Physics Simulations
cs.LG updates on arXiv.org
Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment
Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment
cs.LG updates on arXiv.org
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents
cs.LG updates on arXiv.org
An exact information theory of generalization phase transitions in Bayesian diffusion models
An exact information theory of generalization phase transitions in Bayesian diffusion models
cs.LG updates on arXiv.org
Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA
Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA
cs.LG updates on arXiv.org
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
cs.LG updates on arXiv.org
Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
cs.LG updates on arXiv.org
When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
cs.LG updates on arXiv.org
Cross-Modal Generative Framework for Signal Translation from Fetal-Maternal Electrocardiograms to Fetal Doppler Waveforms
Cross-Modal Generative Framework for Signal Translation from Fetal-Maternal Electrocardiograms to Fetal Doppler Waveforms
cs.LG updates on arXiv.org
Modular Pretraining Enables Access Control
Modular Pretraining Enables Access Control
cs.LG updates on arXiv.org
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion
cs.LG updates on arXiv.org
Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
cs.LG updates on arXiv.org
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
cs.LG updates on arXiv.org
Contrastive Order Learning: A General Framework for Ordinal Regression
Contrastive Order Learning: A General Framework for Ordinal Regression
cs.LG updates on arXiv.org
Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
cs.LG updates on arXiv.org
DeepPySR -- A Symbolic Regression Framework with Dynamic Pruning, Pareto Selection, and Hierarchical Composition for Real-World Scientific Discovery
DeepPySR -- A Symbolic Regression Framework with Dynamic Pruning, Pareto Selection, and Hierarchical Composition for Real-World Scientific Discovery
cs.LG updates on arXiv.org
Understanding Layer Patching in Model Size Interpolation
Understanding Layer Patching in Model Size Interpolation
cs.LG updates on arXiv.org
Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs
Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs
cs.LG updates on arXiv.org
PIT-SUN: A Deployable Empirical Marginal Transform Framework with Expectation-Consistent Recovery for Regression in Recommender Systems
PIT-SUN: A Deployable Empirical Marginal Transform Framework with Expectation-Consistent Recovery for Regression in Recommender Systems
cs.LG updates on arXiv.org
RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
cs.LG updates on arXiv.org
Structure Learning on Clustered Data
Structure Learning on Clustered Data
cs.LG updates on arXiv.org
An interpretable Good--Turing restart criterion for k-means++
An interpretable Good--Turing restart criterion for k-means++
cs.LG updates on arXiv.org
CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation
CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation
cs.LG updates on arXiv.org
Classifier Chain-based Pathological Test Recommendation
Classifier Chain-based Pathological Test Recommendation
cs.LG updates on arXiv.org
Learning $\mathsf{AC}^0$ under Locally Sampleable Graphical Models
Learning $\mathsf{AC}^0$ under Locally Sampleable Graphical Models
cs.LG updates on arXiv.org
Write-Protected Discrete Bottlenecks for Language-Grounded World Models: A Structural Limitation and Sufficient Fix
Write-Protected Discrete Bottlenecks for Language-Grounded World Models: A Structural Limitation and Sufficient Fix
cs.LG updates on arXiv.org
ArtMine: Discovering and Formalizing Artistic Processes
ArtMine: Discovering and Formalizing Artistic Processes
cs.LG updates on arXiv.org
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
cs.LG updates on arXiv.org
Spectral Analysis of Dueling Q-Learning
Spectral Analysis of Dueling Q-Learning
cs.LG updates on arXiv.org
Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability
Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability
cs.LG updates on arXiv.org
Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles
Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles
cs.LG updates on arXiv.org
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
cs.LG updates on arXiv.org
Dynamics of Gradient Descent with Large Step Size Near a Manifold of Flat Minima
Dynamics of Gradient Descent with Large Step Size Near a Manifold of Flat Minima
cs.LG updates on arXiv.org
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
cs.LG updates on arXiv.org
Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset
Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset
cs.LG updates on arXiv.org
MatBind: A Shared Embedding Space for Multimodal Materials Characterization
MatBind: A Shared Embedding Space for Multimodal Materials Characterization
cs.LG updates on arXiv.org
Frequency-Domain Multi-Modality Transportation Modeling
Frequency-Domain Multi-Modality Transportation Modeling
cs.LG updates on arXiv.org
Ensemble Diversity Optimization for Subjective Supervision
Ensemble Diversity Optimization for Subjective Supervision
cs.LG updates on arXiv.org
Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures
Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures
cs.LG updates on arXiv.org
Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data
Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data
cs.LG updates on arXiv.org
CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency
CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency
cs.LG updates on arXiv.org
Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks
Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks
cs.LG updates on arXiv.org
Spectral Stability of Pseudoinverse-Based Extreme Learning Machine
Spectral Stability of Pseudoinverse-Based Extreme Learning Machine
cs.LG updates on arXiv.org
Robust Bayesian Decision Making under Adversarial Uncertainty
Robust Bayesian Decision Making under Adversarial Uncertainty
cs.LG updates on arXiv.org
Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
cs.LG updates on arXiv.org
Steering Neural Network Training through Interpretable Constraints Based on Partial Dependence
Steering Neural Network Training through Interpretable Constraints Based on Partial Dependence
cs.LG updates on arXiv.org
BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression
BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression
cs.LG updates on arXiv.org
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
cs.LG updates on arXiv.org
Secure Decentralized Federated Learning via Gossip and Virtual Voting
Secure Decentralized Federated Learning via Gossip and Virtual Voting
cs.LG updates on arXiv.org
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy
cs.LG updates on arXiv.org
Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models
Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models
cs.LG updates on arXiv.org
A Practical Investigation of Training-free Relaxed Speculative Decoding
A Practical Investigation of Training-free Relaxed Speculative Decoding
cs.LG updates on arXiv.org
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning
cs.LG updates on arXiv.org
Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems
Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems
cs.LG updates on arXiv.org
Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference
Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference
cs.LG updates on arXiv.org
Super Weights in LLMs and the Failure of Selective Training
Super Weights in LLMs and the Failure of Selective Training
cs.LG updates on arXiv.org
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph
cs.LG updates on arXiv.org
SLORR: Simple and Efficient In-Training Low-Rank Regularization
SLORR: Simple and Efficient In-Training Low-Rank Regularization
cs.LG updates on arXiv.org
Statistical inverse learning problems with random observations
Statistical inverse learning problems with random observations
cs.LG updates on arXiv.org
Context Graphs for Proactive Enterprise Agents
Context Graphs for Proactive Enterprise Agents
cs.LG updates on arXiv.org
A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration
A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration
cs.LG updates on arXiv.org
The Regularization Parameter: Sparse Precision Matrix Estimation
The Regularization Parameter: Sparse Precision Matrix Estimation
cs.LG updates on arXiv.org
SASGeo: Stability-Aware Semantic Map Localization for GNSS-Denied UAVs -- A Framework and Synthetic Proof of Concept
SASGeo: Stability-Aware Semantic Map Localization for GNSS-Denied UAVs -- A Framework and Synthetic Proof of Concept
cs.LG updates on arXiv.org
Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation
Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation
cs.LG updates on arXiv.org
GradInf: Gradient Estimation as Probabilistic Inference
GradInf: Gradient Estimation as Probabilistic Inference
cs.LG updates on arXiv.org
Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning
Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning
cs.LG updates on arXiv.org
False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation
False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation
cs.LG updates on arXiv.org
Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting
Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting
cs.LG updates on arXiv.org
Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning
Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning
cs.LG updates on arXiv.org
CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems
CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems
cs.LG updates on arXiv.org
Functional and Secure Code Generation with Task Vectors
Functional and Secure Code Generation with Task Vectors
cs.LG updates on arXiv.org
Persona Cartography: Charting Language Model Personality Traits in Weight Space
Persona Cartography: Charting Language Model Personality Traits in Weight Space
cs.LG updates on arXiv.org
DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks
DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks
cs.LG updates on arXiv.org
Evaluating the Effect of Frame Rate in Sequence-Based Classification of Autism-Related Self-Stimulatory Hand Idiosyncrasies
Evaluating the Effect of Frame Rate in Sequence-Based Classification of Autism-Related Self-Stimulatory Hand Idiosyncrasies
cs.LG updates on arXiv.org
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
cs.LG updates on arXiv.org
When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning
When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning
cs.LG updates on arXiv.org
A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps
A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps
cs.LG updates on arXiv.org
Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
cs.LG updates on arXiv.org
Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator
Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator
cs.LG updates on arXiv.org
SpO$_2$ Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation
SpO$_2$ Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation
cs.LG updates on arXiv.org
Unit-Independent Low-Rate Wrist GSR Processing for Stress Detection Using Phasic nSCR Features
Unit-Independent Low-Rate Wrist GSR Processing for Stress Detection Using Phasic nSCR Features
cs.LG updates on arXiv.org
Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems
Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems
cs.LG updates on arXiv.org
Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
cs.LG updates on arXiv.org
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection
cs.LG updates on arXiv.org
APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
cs.LG updates on arXiv.org
RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization
RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization
cs.LG updates on arXiv.org
Holographic Neural PCFG for Unsupervised Parsing
Holographic Neural PCFG for Unsupervised Parsing
cs.LG updates on arXiv.org
Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring
Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring
cs.LG updates on arXiv.org
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
cs.LG updates on arXiv.org
ConRad: Efficient Conformal Prediction for Radiomics
ConRad: Efficient Conformal Prediction for Radiomics
cs.LG updates on arXiv.org
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
cs.LG updates on arXiv.org
BACH: A Bayesian Admixture of Contrastive Heads for Multi-Interest Two-Tower Retrieval
BACH: A Bayesian Admixture of Contrastive Heads for Multi-Interest Two-Tower Retrieval
cs.LG updates on arXiv.org
Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning
Securing Autonomous Vehicle Systems via Twin-Aware Federated Reinforcement Learning
cs.LG updates on arXiv.org
Generalization Theory for Through-the-Wall Radar Human Activity Recognition
Generalization Theory for Through-the-Wall Radar Human Activity Recognition
cs.LG updates on arXiv.org
LEXIC: Lightweight Eye-tracking eXtension via Injected Complexity
LEXIC: Lightweight Eye-tracking eXtension via Injected Complexity
cs.LG updates on arXiv.org
ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification
ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification
cs.LG updates on arXiv.org
MuScriptor: An Open Model for Multi-Instrument Music Transcription
MuScriptor: An Open Model for Multi-Instrument Music Transcription
cs.LG updates on arXiv.org
A First-Principles Theory of Slow Thinking and Active Perception
A First-Principles Theory of Slow Thinking and Active Perception
cs.LG updates on arXiv.org
MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing
MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing
cs.LG updates on arXiv.org
Benchmark Evaluation of Feredated Learning on Multi-organ Images
Benchmark Evaluation of Feredated Learning on Multi-organ Images
cs.LG updates on arXiv.org
Closing the Null Space: Guidance-Aware Quantization for Classifier-Free Diffusion
Closing the Null Space: Guidance-Aware Quantization for Classifier-Free Diffusion
cs.LG updates on arXiv.org
Best-of-$N$ TTS Evaluation is Confounded by ASR Family Alignment
Best-of-$N$ TTS Evaluation is Confounded by ASR Family Alignment
cs.LG updates on arXiv.org
INTENT: An LSTM Framework for Vehicle Intention Prediction in Intersection Scenarios with Comprehensive Ablation Analysis
INTENT: An LSTM Framework for Vehicle Intention Prediction in Intersection Scenarios with Comprehensive Ablation Analysis
cs.LG updates on arXiv.org
Bayesian Experimental Design via Score Matching
Bayesian Experimental Design via Score Matching
cs.LG updates on arXiv.org
Tubular Neighbourhoods of Pfaffian Sets and Applications to Neural Networks
Tubular Neighbourhoods of Pfaffian Sets and Applications to Neural Networks
cs.LG updates on arXiv.org
Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data
Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data
cs.LG updates on arXiv.org
On Exploring Input Resolution Scaling For Anytime LiDAR Object Detection
On Exploring Input Resolution Scaling For Anytime LiDAR Object Detection
cs.LG updates on arXiv.org
Joint Discrete-Continuous Flow Matching for Open-Vocabulary Inverse Design of Multilayer Optical Coatings
Joint Discrete-Continuous Flow Matching for Open-Vocabulary Inverse Design of Multilayer Optical Coatings
cs.LG updates on arXiv.org
Prompt Compression via Activation Aggregation
Prompt Compression via Activation Aggregation
cs.LG updates on arXiv.org
TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories
TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories
cs.LG updates on arXiv.org
DrugGen 2: A disease-aware language model for enhancing drug discovery
DrugGen 2: A disease-aware language model for enhancing drug discovery
cs.LG updates on arXiv.org
FPGN: Redefining Ultra-Fast Programmable Gate-based Neural Acceleration with Differentiable LUTs
FPGN: Redefining Ultra-Fast Programmable Gate-based Neural Acceleration with Differentiable LUTs
cs.LG updates on arXiv.org
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning
cs.LG updates on arXiv.org
Predicting Viticulture Potential through an Ensemble of U-Net and a Geospatial Foundation Model
Predicting Viticulture Potential through an Ensemble of U-Net and a Geospatial Foundation Model
cs.LG updates on arXiv.org
Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing
Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing
cs.LG updates on arXiv.org
AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism
AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism
cs.LG updates on arXiv.org
High-Dimensional Procrustes Matching via Tree Counts
High-Dimensional Procrustes Matching via Tree Counts
cs.LG updates on arXiv.org
Structural Bottlenecks on Frequency Representation in End-to-End Audio Models
Structural Bottlenecks on Frequency Representation in End-to-End Audio Models
cs.LG updates on arXiv.org
ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods
ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods
cs.LG updates on arXiv.org
When Structured Sparse Autoencoders Learn Consistent Concepts Across Modalities
When Structured Sparse Autoencoders Learn Consistent Concepts Across Modalities
cs.LG updates on arXiv.org
LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
cs.LG updates on arXiv.org
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
cs.LG updates on arXiv.org
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
cs.LG updates on arXiv.org
MulTTiPop: A Multitrack Transcription Dataset for Pop Music
MulTTiPop: A Multitrack Transcription Dataset for Pop Music
cs.LG updates on arXiv.org
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
cs.LG updates on arXiv.org
Computation, Condensation, and the Incompleteness Between Them: A Coupled Foundation of Intelligence
Computation, Condensation, and the Incompleteness Between Them: A Coupled Foundation of Intelligence
cs.LG updates on arXiv.org
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
cs.LG updates on arXiv.org
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
cs.LG updates on arXiv.org
Koopman-informed recurrent neural networks
Koopman-informed recurrent neural networks
cs.LG updates on arXiv.org
How Causal Abstraction Underpins Computational Explanation
How Causal Abstraction Underpins Computational Explanation
cs.LG updates on arXiv.org
Neural non-canonical Hamiltonian dynamics for long-time simulations
Neural non-canonical Hamiltonian dynamics for long-time simulations
cs.LG updates on arXiv.org
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
cs.LG updates on arXiv.org
Are Current Continual Learning Methods Truly Agnostic? Introducing OPRE, a Step Toward Agnostic Continual Learning
Are Current Continual Learning Methods Truly Agnostic? Introducing OPRE, a Step Toward Agnostic Continual Learning
cs.LG updates on arXiv.org
On the Gradient Complexity of Private Optimization with Private Oracles
On the Gradient Complexity of Private Optimization with Private Oracles
cs.LG updates on arXiv.org
Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
cs.LG updates on arXiv.org
Persistent Multiscale Density-based Clustering
Persistent Multiscale Density-based Clustering
cs.LG updates on arXiv.org
Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning
Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning
cs.LG updates on arXiv.org
Multi-Distribution Robust Conformal Prediction
Multi-Distribution Robust Conformal Prediction
cs.LG updates on arXiv.org
Resolving Predictive Multiplicity for the Rashomon Set
Resolving Predictive Multiplicity for the Rashomon Set
cs.LG updates on arXiv.org
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
cs.LG updates on arXiv.org
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
cs.LG updates on arXiv.org
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
cs.LG updates on arXiv.org
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
cs.LG updates on arXiv.org
HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning
HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning
cs.LG updates on arXiv.org
Towards Isolated Interventions via Almost Orthogonal Features in Language Models
Towards Isolated Interventions via Almost Orthogonal Features in Language Models
cs.LG updates on arXiv.org
Beyond Success Rates: Trainability and Extractability for Offline GCRL
Beyond Success Rates: Trainability and Extractability for Offline GCRL
cs.LG updates on arXiv.org
Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO
Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO
cs.LG updates on arXiv.org
Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing
Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing
cs.LG updates on arXiv.org
Provable Subspace Identification of Nonlinear Multi-view CCA
Provable Subspace Identification of Nonlinear Multi-view CCA
cs.LG updates on arXiv.org
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
cs.LG updates on arXiv.org
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
cs.LG updates on arXiv.org
PhasorFlow: A Python Library for Unit Circle Based Computing
PhasorFlow: A Python Library for Unit Circle Based Computing
cs.LG updates on arXiv.org
Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function
Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function
cs.LG updates on arXiv.org
The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle
The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle
cs.LG updates on arXiv.org
Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification
Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification
cs.LG updates on arXiv.org
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
cs.LG updates on arXiv.org
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
cs.LG updates on arXiv.org
StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation
StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation
cs.LG updates on arXiv.org
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
cs.LG updates on arXiv.org
Does Dimensionality Reduction via Random Projections Preserve Landscape Features?
Does Dimensionality Reduction via Random Projections Preserve Landscape Features?
cs.LG updates on arXiv.org
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
cs.LG updates on arXiv.org
LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
cs.LG updates on arXiv.org
Before the Last Token: Diagnosing Final-Token Safety Probe Failures
Before the Last Token: Diagnosing Final-Token Safety Probe Failures
cs.LG updates on arXiv.org
Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition
Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition
cs.LG updates on arXiv.org
MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer
MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer
cs.LG updates on arXiv.org
Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
cs.LG updates on arXiv.org
From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems
From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems
cs.LG updates on arXiv.org
When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
cs.LG updates on arXiv.org
Temporal Preference Concepts and their Functions in a Large Language Model
Temporal Preference Concepts and their Functions in a Large Language Model
cs.LG updates on arXiv.org
A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding
A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding
cs.LG updates on arXiv.org
KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
cs.LG updates on arXiv.org
Diagnosing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
Diagnosing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
cs.LG updates on arXiv.org
Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution
Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution
cs.LG updates on arXiv.org
SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks
SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks
cs.LG updates on arXiv.org
Generalization in offline RL: The structure is more important than the amount of pessimism
Generalization in offline RL: The structure is more important than the amount of pessimism
cs.LG updates on arXiv.org
Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
cs.LG updates on arXiv.org
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
cs.LG updates on arXiv.org
Conformal Predictive Programming for Chance Constrained Optimization
Conformal Predictive Programming for Chance Constrained Optimization
cs.LG updates on arXiv.org
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
cs.LG updates on arXiv.org
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
cs.LG updates on arXiv.org
From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
cs.LG updates on arXiv.org
($\theta_l, \theta_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
($\theta_l, \theta_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
cs.LG updates on arXiv.org
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
cs.LG updates on arXiv.org
Bayesian Deep Learning for Discrete Choice
Bayesian Deep Learning for Discrete Choice
cs.LG updates on arXiv.org
Instance Generation for Patient-to-room Assignment and Admission Scheduling Based on Real Hospital Data
Instance Generation for Patient-to-room Assignment and Admission Scheduling Based on Real Hospital Data
cs.LG updates on arXiv.org
Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control
Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control
cs.LG updates on arXiv.org
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
cs.LG updates on arXiv.org
A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents
A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents
cs.LG updates on arXiv.org
Robustness to Sparse Adversarial Corruption in Arbitrary Linear Measurements: Beyond Exact Recovery
Robustness to Sparse Adversarial Corruption in Arbitrary Linear Measurements: Beyond Exact Recovery
cs.LG updates on arXiv.org
SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
cs.LG updates on arXiv.org
MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
cs.LG updates on arXiv.org
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
cs.LG updates on arXiv.org
A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
cs.LG updates on arXiv.org
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
cs.LG updates on arXiv.org
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
cs.LG updates on arXiv.org
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
cs.LG updates on arXiv.org
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning
cs.LG updates on arXiv.org
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
cs.LG updates on arXiv.org
Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
cs.LG updates on arXiv.org
Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
cs.LG updates on arXiv.org
Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation
Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation
cs.LG updates on arXiv.org
The Power of Power Law: Asymmetry Enables Compositional Reasoning
The Power of Power Law: Asymmetry Enables Compositional Reasoning
cs.LG updates on arXiv.org
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
cs.LG updates on arXiv.org
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
cs.LG updates on arXiv.org
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
cs.LG updates on arXiv.org
SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition
SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition
cs.LG updates on arXiv.org
TNODEV: Toolbox for Neural ODE Verification
TNODEV: Toolbox for Neural ODE Verification
cs.LG updates on arXiv.org
InvestPhilBench: A Multi-Layer Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy
InvestPhilBench: A Multi-Layer Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy
cs.LG updates on arXiv.org
A Stochastic--Geometric Theory of Scaling Laws in Grokking
A Stochastic--Geometric Theory of Scaling Laws in Grokking
cs.LG updates on arXiv.org
Governing Generative AI Across Financial Institutions: An SR 26-2-Compatible Framework for Generative AI Risk Control
Governing Generative AI Across Financial Institutions: An SR 26-2-Compatible Framework for Generative AI Risk Control
stat.ML updates on arXiv.org
The Regularization Parameter: Sparse Precision Matrix Estimation
The Regularization Parameter: Sparse Precision Matrix Estimation
stat.ML updates on arXiv.org
Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation
Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation
stat.ML updates on arXiv.org
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
stat.ML updates on arXiv.org
Bayesian Experimental Design via Score Matching
Bayesian Experimental Design via Score Matching
stat.ML updates on arXiv.org
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning
stat.ML updates on arXiv.org
High-Dimensional Procrustes Matching via Tree Counts
High-Dimensional Procrustes Matching via Tree Counts
stat.ML updates on arXiv.org
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
stat.ML updates on arXiv.org
LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks
LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks
stat.ML updates on arXiv.org
A law of robustness for two-layer neural networks with arbitrary weights
A law of robustness for two-layer neural networks with arbitrary weights
stat.ML updates on arXiv.org
Mixtures of spatial factor analyzers for tensor-variate data
Mixtures of spatial factor analyzers for tensor-variate data
stat.ML updates on arXiv.org
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
stat.ML updates on arXiv.org
Joint estimation of high-dimensional spiked covariance matrices via a partially shared subspace
Joint estimation of high-dimensional spiked covariance matrices via a partially shared subspace
stat.ML updates on arXiv.org
Selecting Interpretable Circular Coordinates from Data
Selecting Interpretable Circular Coordinates from Data
stat.ML updates on arXiv.org
Structure Learning on Clustered Data
Structure Learning on Clustered Data
stat.ML updates on arXiv.org
An interpretable Good--Turing restart criterion for k-means++
An interpretable Good--Turing restart criterion for k-means++
stat.ML updates on arXiv.org
A scalable version of MADD for big-data classification
A scalable version of MADD for big-data classification
stat.ML updates on arXiv.org
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate
stat.ML updates on arXiv.org
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
stat.ML updates on arXiv.org
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
stat.ML updates on arXiv.org
Bayesian Deep Learning for Discrete Choice
Bayesian Deep Learning for Discrete Choice
stat.ML updates on arXiv.org
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
stat.ML updates on arXiv.org
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
stat.ML updates on arXiv.org
A Stochastic--Geometric Theory of Scaling Laws in Grokking
A Stochastic--Geometric Theory of Scaling Laws in Grokking
stat.ML updates on arXiv.org
Conformal Predictive Programming for Chance Constrained Optimization
Conformal Predictive Programming for Chance Constrained Optimization
stat.ML updates on arXiv.org
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Differentiability and Approximation of Probability Functions under Gaussian Mixture Models
stat.ML updates on arXiv.org
Rotated Mean-Field Variational Inference and Iterative Gaussianization
Rotated Mean-Field Variational Inference and Iterative Gaussianization
stat.ML updates on arXiv.org
On the Gradient Complexity of Private Optimization with Private Oracles
On the Gradient Complexity of Private Optimization with Private Oracles
stat.ML updates on arXiv.org
Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
stat.ML updates on arXiv.org
Multi-Distribution Robust Conformal Prediction
Multi-Distribution Robust Conformal Prediction
stat.ML updates on arXiv.org
Quantum Circuit Generation via test-time learning with large language models
Quantum Circuit Generation via test-time learning with large language models
stat.ML updates on arXiv.org
Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing
Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Model Sharing
stat.ML updates on arXiv.org
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
stat.ML updates on arXiv.org
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
stat.ML updates on arXiv.org
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
stat.ML updates on arXiv.org
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
stat.ML updates on arXiv.org
Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator
Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator
stat.ML updates on arXiv.org
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
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現在のLLMは、「次にくる単語を確率の一番高いものを選んでいるだけ」、という言い方は、語弊がありすぎる
#LLMタグ
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【賞金総額3,000万円】学生限定の「ロボットを動かすLLMを開発するコンテスト」に参加してみませんか？
#LLMタグ
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The Verge
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Fidji Simo steps down from leading OpenAI’s AGI work due to illness
WIRED
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Meta Superintelligence Labs Releases Muse Spark 1.1: A Multimodal Reasoning Model for Agentic Tasks on Meta Model API