ML Fundamentals

AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation

LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)

Binned semiparametric Bayesian networks for efficient kernel density estimation

Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction

Seeing Beyond the Image: ECG and Anatomical Knowledge-Guided Myocardial Scar Segmentation from Late Gadolinium-Enhanced Images

Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning

SA-CycleGAN-2.5D: Self-Attention CycleGAN with Tri-Planar Context for Multi-Site MRI Harmonization

7 Machine Learning Trends to Watch in 2026

BenchScope: How Many Independent Signals Does Your Benchmark Provide?

Rigorous Explanations for Tree Ensembles

A First Step Towards Even More Sparse Encodings of Probability Distributions

A Rational Account of Categorization Based on Information Theory

ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules

Byzantine-Robust and Communication-Efficient Distributed Training: Compressive and Cyclic Gradient Coding

A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors

WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression

Time is Not Compute: Scaling Laws for Wall-Clock Constrained Training on Consumer GPUs

A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank

On the Mirage of Long-Range Dependency, with an Application to Integer Multiplication

NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification

Training deep learning based dynamic MR image reconstruction using synthetic fractals

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI

Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration

Generative Data Transformation: From Mixed to Unified Data

Local Causal Discovery for Statistically Efficient Causal Inference

Provably Extracting the Features from a General Superposition

Presentation: Hidden Decisions You Don’t Know You’re Making

Kubernetes Autoscaling Demands New Observability Focus Beyond Vendor Tooling

From SQL Analytics to Predictive Decision Systems: Operationalizing ML Models in Business Operation

Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models

A Multimodal Deep Learning Framework for Edema Classification Using HCT and Clinical Data

Multi-view Graph Convolutional Network with Fully Leveraging Consistency via Granular-ball-based Topology Construction, Feature Enhancement and Interactive Fusion

Ordinal Semantic Segmentation Applied to Medical and Odontological Images

DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting

Dynamic resource matching in manufacturing using deep reinforcement learning

RDEx-SOP: Exploitation-Biased Reconstructed Differential Evolution for Fixed-Budget Bound-Constrained Single-Objective Optimization

RDEx-CSOP: Feasibility-Aware Reconstructed Differential Evolution with Adaptive epsilon-Constraint Ranking

RDEx-MOP: Indicator-Guided Reconstructed Differential Evolution for Fixed-Budget Multiobjective Optimization

Bayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data

Multimodal Forecasting for Commodity Prices Using Spectrogram-Based and Time Series Representations

Diagnosing Non-Markovian Observations in Reinforcement Learning via Prediction-Based Violation Scoring

Multiple-Prediction-Powered Inference

Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs

What-If Explanations Over Time: Counterfactuals for Time Series Classification

Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization

TwinMixing: A Shuffle-Aware Feature Interaction Model for Multi-Task Segmentation

MR-ImagenTime: Multi-Resolution Time Series Generation through Dual Image Representations