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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 ·
New technique makes AI models leaner and faster while they’re still learning
Machine Learning

New technique makes AI models leaner and faster while they’re still learning

AI News - General · 9 min ·
Machine Learning

PyPI supply chain attack hits data/ML pipelines: elementary-data compromised via GitHub Actions [N]

elementary-data (used in data pipelines feeding ML systems) was compromised via a GitHub Actions flaw that allowed a forged PyPI release....

Reddit - Machine Learning · 1 min ·

All Content

[2604.04050] TORA: Topological Representation Alignment for 3D Shape Assembly
Machine Learning

[2604.04050] TORA: Topological Representation Alignment for 3D Shape Assembly

Abstract page for arXiv paper 2604.04050: TORA: Topological Representation Alignment for 3D Shape Assembly

arXiv - Machine Learning · 4 min ·
[2604.04033] Topological Sensitivity in Connectome-Constrained Neural Networks
Machine Learning

[2604.04033] Topological Sensitivity in Connectome-Constrained Neural Networks

Abstract page for arXiv paper 2604.04033: Topological Sensitivity in Connectome-Constrained Neural Networks

arXiv - Machine Learning · 3 min ·
[2604.04030] Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement
Machine Learning

[2604.04030] Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement

Abstract page for arXiv paper 2604.04030: Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement

arXiv - Machine Learning · 4 min ·
[2604.04020] Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large Language Models
Llms

[2604.04020] Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large Language Models

Abstract page for arXiv paper 2604.04020: Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large ...

arXiv - Machine Learning · 3 min ·
[2604.03962] Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming
Llms

[2604.03962] Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming

Abstract page for arXiv paper 2604.03962: Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming

arXiv - Machine Learning · 4 min ·
[2604.03939] Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
Machine Learning

[2604.03939] Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information

Abstract page for arXiv paper 2604.03939: Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Informa...

arXiv - Machine Learning · 4 min ·
[2604.03840] New insights into Elo algorithm for practitioners and statisticians
Machine Learning

[2604.03840] New insights into Elo algorithm for practitioners and statisticians

Abstract page for arXiv paper 2604.03840: New insights into Elo algorithm for practitioners and statisticians

arXiv - Machine Learning · 3 min ·
[2604.03912] Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework
Llms

[2604.03912] Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework

Abstract page for arXiv paper 2604.03912: Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework

arXiv - AI · 4 min ·
[2604.03903] Improving ML Attacks on LWE with Data Repetition and Stepwise Regression
Machine Learning

[2604.03903] Improving ML Attacks on LWE with Data Repetition and Stepwise Regression

Abstract page for arXiv paper 2604.03903: Improving ML Attacks on LWE with Data Repetition and Stepwise Regression

arXiv - Machine Learning · 3 min ·
[2604.03892] Lotka-Sharpe Neural Operators for Control of Population PDEs
Machine Learning

[2604.03892] Lotka-Sharpe Neural Operators for Control of Population PDEs

Abstract page for arXiv paper 2604.03892: Lotka-Sharpe Neural Operators for Control of Population PDEs

arXiv - Machine Learning · 3 min ·
[2604.03877] When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
Llms

[2604.03877] When Models Know More Than They Say: Probing Analogical Reasoning in LLMs

Abstract page for arXiv paper 2604.03877: When Models Know More Than They Say: Probing Analogical Reasoning in LLMs

arXiv - AI · 3 min ·
[2604.03862] SecureAFL: Secure Asynchronous Federated Learning
Machine Learning

[2604.03862] SecureAFL: Secure Asynchronous Federated Learning

Abstract page for arXiv paper 2604.03862: SecureAFL: Secure Asynchronous Federated Learning

arXiv - Machine Learning · 3 min ·
[2604.03843] Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
Machine Learning

[2604.03843] Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs

Abstract page for arXiv paper 2604.03843: Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control ...

arXiv - Machine Learning · 4 min ·
[2604.03803] Rényi Attention Entropy for Patch Pruning
Machine Learning

[2604.03803] Rényi Attention Entropy for Patch Pruning

Abstract page for arXiv paper 2604.03803: Rényi Attention Entropy for Patch Pruning

arXiv - Machine Learning · 3 min ·
[2604.03772] Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
Machine Learning

[2604.03772] Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding

Abstract page for arXiv paper 2604.03772: Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Con...

arXiv - Machine Learning · 3 min ·
[2604.03753] Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems
Machine Learning

[2604.03753] Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems

Abstract page for arXiv paper 2604.03753: Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems

arXiv - Machine Learning · 3 min ·
[2604.03679] LightThinker++: From Reasoning Compression to Memory Management
Llms

[2604.03679] LightThinker++: From Reasoning Compression to Memory Management

Abstract page for arXiv paper 2604.03679: LightThinker++: From Reasoning Compression to Memory Management

arXiv - AI · 4 min ·
[2604.03603] Stochastic Generative Plug-and-Play Priors
Machine Learning

[2604.03603] Stochastic Generative Plug-and-Play Priors

Abstract page for arXiv paper 2604.03603: Stochastic Generative Plug-and-Play Priors

arXiv - Machine Learning · 3 min ·
[2604.03552] CRAFT: Video Diffusion for Bimanual Robot Data Generation
Machine Learning

[2604.03552] CRAFT: Video Diffusion for Bimanual Robot Data Generation

Abstract page for arXiv paper 2604.03552: CRAFT: Video Diffusion for Bimanual Robot Data Generation

arXiv - AI · 4 min ·
[2604.03537] Rethinking Token Prediction: Tree-Structured Diffusion Language Model
Llms

[2604.03537] Rethinking Token Prediction: Tree-Structured Diffusion Language Model

Abstract page for arXiv paper 2604.03537: Rethinking Token Prediction: Tree-Structured Diffusion Language Model

arXiv - Machine Learning · 3 min ·
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