Machine Learning

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...

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...

Improving AI models’ ability to explain their predictions

[2603.25776] SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation

Abstract page for arXiv paper 2603.25776: SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised ...

[2603.25758] A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning

Abstract page for arXiv paper 2603.25758: A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning

[2603.25755] KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening

Abstract page for arXiv paper 2603.25755: KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Through...

[2603.25039] Uncertainty Quantification for Quantum Computing

Abstract page for arXiv paper 2603.25039: Uncertainty Quantification for Quantum Computing

[2603.26644] Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation

Abstract page for arXiv paper 2603.26644: Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automat...

[2603.26611] Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression

Abstract page for arXiv paper 2603.26611: Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression

[2603.26604] Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Colliders

Abstract page for arXiv paper 2603.26604: Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Col...

[2603.26595] PQuantML: A Tool for End-to-End Hardware-aware Model Compression

Abstract page for arXiv paper 2603.26595: PQuantML: A Tool for End-to-End Hardware-aware Model Compression

[2603.26592] Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation

Abstract page for arXiv paper 2603.26592: Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Seri...

[2603.26575] The Climber's Grip -- Personalized Deep Learning Models for Fear and Muscle Activity in Climbing

Abstract page for arXiv paper 2603.26575: The Climber's Grip -- Personalized Deep Learning Models for Fear and Muscle Activity in Climbing

[2603.26569] Machine Unlearning under Retain-Forget Entanglement

Abstract page for arXiv paper 2603.26569: Machine Unlearning under Retain-Forget Entanglement

[2603.26554] Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

Abstract page for arXiv paper 2603.26554: Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

[2603.26483] EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference

Abstract page for arXiv paper 2603.26483: EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Med...

[2603.26482] SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition

Abstract page for arXiv paper 2603.26482: SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition

[2603.26476] Shapley meets Rawls: an integrated framework for measuring and explaining unfairness

Abstract page for arXiv paper 2603.26476: Shapley meets Rawls: an integrated framework for measuring and explaining unfairness

[2603.26475] Foundation Model for Cardiac Time Series via Masked Latent Attention

Abstract page for arXiv paper 2603.26475: Foundation Model for Cardiac Time Series via Masked Latent Attention

[2603.26465] A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification

Abstract page for arXiv paper 2603.26465: A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification

[2603.26461] Neuro-Symbolic Process Anomaly Detection

Abstract page for arXiv paper 2603.26461: Neuro-Symbolic Process Anomaly Detection

[2603.26440] Interpretable long-term traffic modelling on national road networks using theory-informed deep learning

Abstract page for arXiv paper 2603.26440: Interpretable long-term traffic modelling on national road networks using theory-informed deep ...

[2603.26415] KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching

Abstract page for arXiv paper 2603.26415: KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching