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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·
Machine Learning

Weird ICML decision [D]

Hello, A friend of mine had a paper with borderline scores accepted at ICML. However, the comment made by the meta reviewers feels like t...

Reddit - Machine Learning · 1 min ·

All Content

[2604.05088] Scalar Federated Learning for Linear Quadratic Regulator
Machine Learning

[2604.05088] Scalar Federated Learning for Linear Quadratic Regulator

Abstract page for arXiv paper 2604.05088: Scalar Federated Learning for Linear Quadratic Regulator

arXiv - Machine Learning · 3 min ·
[2604.05083] Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation
Llms

[2604.05083] Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation

Abstract page for arXiv paper 2604.05083: Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation

arXiv - AI · 3 min ·
[2604.05034] Learning to Unscramble Feynman Loop Integrals with SAILIR
Machine Learning

[2604.05034] Learning to Unscramble Feynman Loop Integrals with SAILIR

Abstract page for arXiv paper 2604.05034: Learning to Unscramble Feynman Loop Integrals with SAILIR

arXiv - Machine Learning · 4 min ·
[2604.05030] Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space
Machine Learning

[2604.05030] Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space

Abstract page for arXiv paper 2604.05030: Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space

arXiv - AI · 3 min ·
[2604.04997] Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Opportunities and Challenges
Llms

[2604.04997] Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Opportunities and Challenges

Abstract page for arXiv paper 2604.04997: Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Op...

arXiv - AI · 3 min ·
[2604.04982] CURE:Circuit-Aware Unlearning for LLM-based Recommendation
Llms

[2604.04982] CURE:Circuit-Aware Unlearning for LLM-based Recommendation

Abstract page for arXiv paper 2604.04982: CURE:Circuit-Aware Unlearning for LLM-based Recommendation

arXiv - AI · 4 min ·
[2604.04973] StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
Machine Learning

[2604.04973] StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation

Abstract page for arXiv paper 2604.04973: StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind ...

arXiv - Machine Learning · 3 min ·
[2604.04963] Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
Machine Learning

[2604.04963] Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models

Abstract page for arXiv paper 2604.04963: Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models

arXiv - Machine Learning · 3 min ·
[2604.04961] Identification and Inference in Nonlinear Dynamic Network Models
Machine Learning

[2604.04961] Identification and Inference in Nonlinear Dynamic Network Models

Abstract page for arXiv paper 2604.04961: Identification and Inference in Nonlinear Dynamic Network Models

arXiv - Machine Learning · 3 min ·
[2604.04946] Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates
Machine Learning

[2604.04946] Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates

Abstract page for arXiv paper 2604.04946: Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates

arXiv - Machine Learning · 4 min ·
[2604.06169] In-Place Test-Time Training
Llms

[2604.06169] In-Place Test-Time Training

Abstract page for arXiv paper 2604.06169: In-Place Test-Time Training

arXiv - AI · 4 min ·
[2604.06159] Target Policy Optimization
Machine Learning

[2604.06159] Target Policy Optimization

Abstract page for arXiv paper 2604.06159: Target Policy Optimization

arXiv - Machine Learning · 3 min ·
[2604.06155] Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement
Llms

[2604.06155] Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement

Abstract page for arXiv paper 2604.06155: Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement

arXiv - Machine Learning · 3 min ·
[2604.06109] Learning $\mathsf{AC}^0$ Under Graphical Models
Machine Learning

[2604.06109] Learning $\mathsf{AC}^0$ Under Graphical Models

Abstract page for arXiv paper 2604.06109: Learning $\mathsf{AC}^0$ Under Graphical Models

arXiv - Machine Learning · 3 min ·
[2604.06081] A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
Machine Learning

[2604.06081] A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data

Abstract page for arXiv paper 2604.06081: A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data

arXiv - Machine Learning · 4 min ·
[2604.06014] Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating
Machine Learning

[2604.06014] Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating

Abstract page for arXiv paper 2604.06014: Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Depend...

arXiv - Machine Learning · 4 min ·
[2604.05993] Data Distribution Valuation Using Generalized Bayesian Inference
Machine Learning

[2604.05993] Data Distribution Valuation Using Generalized Bayesian Inference

Abstract page for arXiv paper 2604.05993: Data Distribution Valuation Using Generalized Bayesian Inference

arXiv - Machine Learning · 3 min ·
[2604.05967] On Dominant Manifolds in Reservoir Computing Networks
Machine Learning

[2604.05967] On Dominant Manifolds in Reservoir Computing Networks

Abstract page for arXiv paper 2604.05967: On Dominant Manifolds in Reservoir Computing Networks

arXiv - Machine Learning · 3 min ·
[2604.05960] A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis
Llms

[2604.05960] A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis

Abstract page for arXiv paper 2604.05960: A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis

arXiv - Machine Learning · 4 min ·
[2604.05929] ReLU Networks for Exact Generation of Similar Graphs
Machine Learning

[2604.05929] ReLU Networks for Exact Generation of Similar Graphs

Abstract page for arXiv paper 2604.05929: ReLU Networks for Exact Generation of Similar Graphs

arXiv - AI · 4 min ·
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