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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 ·
[2603.13566] EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
Machine Learning

[2603.13566] EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection

Abstract page for arXiv paper 2603.13566: EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection

arXiv - Machine Learning · 3 min ·

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[2604.05502] AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
Llms

[2604.05502] AttnDiff: Attention-based Differential Fingerprinting for Large Language Models

Abstract page for arXiv paper 2604.05502: AttnDiff: Attention-based Differential Fingerprinting for Large Language Models

arXiv - Machine Learning · 3 min ·
[2604.05469] Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models
Llms

[2604.05469] Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models

Abstract page for arXiv paper 2604.05469: Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models

arXiv - Machine Learning · 4 min ·
[2604.05478] Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
Machine Learning

[2604.05478] Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability

Abstract page for arXiv paper 2604.05478: Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalis...

arXiv - Machine Learning · 4 min ·
[2604.05467] CUE-R: Beyond the Final Answer in Retrieval-Augmented Generation
Llms

[2604.05467] CUE-R: Beyond the Final Answer in Retrieval-Augmented Generation

Abstract page for arXiv paper 2604.05467: CUE-R: Beyond the Final Answer in Retrieval-Augmented Generation

arXiv - Machine Learning · 4 min ·
[2604.05446] MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
Machine Learning

[2604.05446] MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

Abstract page for arXiv paper 2604.05446: MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

arXiv - Machine Learning · 3 min ·
[2604.05379] Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
Machine Learning

[2604.05379] Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

Abstract page for arXiv paper 2604.05379: Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

arXiv - Machine Learning · 4 min ·
[2604.05358] LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment
Machine Learning

[2604.05358] LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

Abstract page for arXiv paper 2604.05358: LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation wit...

arXiv - AI · 4 min ·
[2604.05337] Individual-heterogeneous sub-Gaussian Mixture Models
Machine Learning

[2604.05337] Individual-heterogeneous sub-Gaussian Mixture Models

Abstract page for arXiv paper 2604.05337: Individual-heterogeneous sub-Gaussian Mixture Models

arXiv - Machine Learning · 3 min ·
[2604.05285] Robust Learning of Heterogeneous Dynamic Systems
Machine Learning

[2604.05285] Robust Learning of Heterogeneous Dynamic Systems

Abstract page for arXiv paper 2604.05285: Robust Learning of Heterogeneous Dynamic Systems

arXiv - Machine Learning · 3 min ·
[2604.05225] fastml: Guarded Resampling Workflows for Safer Automated Machine Learning in R
Machine Learning

[2604.05225] fastml: Guarded Resampling Workflows for Safer Automated Machine Learning in R

Abstract page for arXiv paper 2604.05225: fastml: Guarded Resampling Workflows for Safer Automated Machine Learning in R

arXiv - Machine Learning · 3 min ·
[2604.05253] Spike Hijacking in Late-Interaction Retrieval
Machine Learning

[2604.05253] Spike Hijacking in Late-Interaction Retrieval

Abstract page for arXiv paper 2604.05253: Spike Hijacking in Late-Interaction Retrieval

arXiv - Machine Learning · 3 min ·
[2604.05229] From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI
Machine Learning

[2604.05229] From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI

Abstract page for arXiv paper 2604.05229: From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardra...

arXiv - AI · 3 min ·
[2604.05183] OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
Machine Learning

[2604.05183] OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models

Abstract page for arXiv paper 2604.05183: OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion M...

arXiv - AI · 4 min ·
[2604.05175] Graph Signal Diffusion Models for Wireless Resource Allocation
Machine Learning

[2604.05175] Graph Signal Diffusion Models for Wireless Resource Allocation

Abstract page for arXiv paper 2604.05175: Graph Signal Diffusion Models for Wireless Resource Allocation

arXiv - Machine Learning · 3 min ·
[2604.05137] EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
Llms

[2604.05137] EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback

Abstract page for arXiv paper 2604.05137: EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback

arXiv - AI · 4 min ·
[2604.05125] Offline RL for Adaptive Policy Retrieval in Prior Authorization
Machine Learning

[2604.05125] Offline RL for Adaptive Policy Retrieval in Prior Authorization

Abstract page for arXiv paper 2604.05125: Offline RL for Adaptive Policy Retrieval in Prior Authorization

arXiv - AI · 4 min ·
[2604.05115] Probabilistic Tree Inference Enabled by FDSOI Ferroelectric FETs
Machine Learning

[2604.05115] Probabilistic Tree Inference Enabled by FDSOI Ferroelectric FETs

Abstract page for arXiv paper 2604.05115: Probabilistic Tree Inference Enabled by FDSOI Ferroelectric FETs

arXiv - Machine Learning · 4 min ·
[2604.05114] $π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
Llms

[2604.05114] $π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models

Abstract page for arXiv paper 2604.05114: $π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Lan...

arXiv - AI · 3 min ·
[2604.05090] Multilingual Language Models Encode Script Over Linguistic Structure
Llms

[2604.05090] Multilingual Language Models Encode Script Over Linguistic Structure

Abstract page for arXiv paper 2604.05090: Multilingual Language Models Encode Script Over Linguistic Structure

arXiv - Machine Learning · 3 min ·
[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 ·
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