Machine Learning

[P] If you're building AI agents, logs aren't enough. You need evidence.

I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback. Agent demos...

A Machine Learning Engineer Thought He Was Safe From AI Layoffs. Then He Got Some Depressing News

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...

[2603.24917] Estimating near-verbatim extraction risk in language models with decoding-constrained beam search

Abstract page for arXiv paper 2603.24917: Estimating near-verbatim extraction risk in language models with decoding-constrained beam search

[2603.25099] Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization

Abstract page for arXiv paper 2603.25099: Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Opti...

[2603.25083] Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization

Abstract page for arXiv paper 2603.25083: Learning domain-invariant features through channel-level sparsification for Out-Of Distribution...

[2603.25063] TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization

Abstract page for arXiv paper 2603.25063: TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visual...

[2603.25056] The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities

Abstract page for arXiv paper 2603.25056: The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Create...

[2603.24764] Synthetic Cardiac MRI Image Generation using Deep Generative Models

Abstract page for arXiv paper 2603.24764: Synthetic Cardiac MRI Image Generation using Deep Generative Models

[2603.25052] Closing the Confidence-Faithfulness Gap in Large Language Models

Abstract page for arXiv paper 2603.25052: Closing the Confidence-Faithfulness Gap in Large Language Models

[2603.24752] Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning

Abstract page for arXiv paper 2603.24752: Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical...

[2603.25006] Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

Abstract page for arXiv paper 2603.25006: Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

[2603.24989] Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

Abstract page for arXiv paper 2603.24989: Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

Abstract page for arXiv paper 2603.24986: Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Abstract page for arXiv paper 2603.24705: Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

[2603.24704] Conformal Selective Prediction with General Risk Control

Abstract page for arXiv paper 2603.24704: Conformal Selective Prediction with General Risk Control

[2603.24654] Spectral methods: crucial for machine learning, natural for quantum computers?

Abstract page for arXiv paper 2603.24654: Spectral methods: crucial for machine learning, natural for quantum computers?

[2603.24652] Demystifying When Pruning Works via Representation Hierarchies

Abstract page for arXiv paper 2603.24652: Demystifying When Pruning Works via Representation Hierarchies

[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system

Abstract page for arXiv paper 2603.24940: Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-i...

[2603.24936] TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization

Abstract page for arXiv paper 2603.24936: TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Opti...

[2603.24626] A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

Abstract page for arXiv paper 2603.24626: A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

[2603.24617] Multi-LLM Query Optimization

Abstract page for arXiv paper 2603.24617: Multi-LLM Query Optimization

[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence

Abstract page for arXiv paper 2603.24898: Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Cli...