Gaussian Process Conformal Prediction for Risk-Conditional Coverage Consistency

PINN-PTv3: Physics-Informed Spatiotemporal Point Transformers for Full-Cardiac Cycle Acute Type A Aortic Dissection Hemodynamic Prediction

Predicting the Drug Side Effect Frequency via a Kolmogorov-Arnold Graph Isomorphism Network and Subspace-Aware Dynamic Feature Fusion

A Machine-Learning-Driven Physics-Informed Variational Framework for Intelligent ENSO Ensemble Prediction

SCFT: A Dual-Domain Orthogonal Representation Framework for Efficient Time Series Forecasting

SF-GCN: A Spatial-Frequency Dual-Domain Graph Convolutional Framework for Domain-Generalizable Time Series Forecasting

MoE-TAPE: Mixture of Experts with Task-Adaptive Parameter-Efficient Module for Time Series Representation Learning

S2DBM: Series-to-Series Brownian Bridge for Time Series Point Forecasting

Multi-Cycle Automatic Temporal Query Network and Adaptive Modeling for Multivariate Time Series Forecasting

A Lightweight Method for Automatic Detection of Rice Chalkiness based on Hyperspectral Imaging and Improved DeepLabv3+ Network

ActFlow: An Activity Trajectory Generation Framework via Conditional Flow Matching

SRA-SVA: a framework for Spec-RTL alignment via a fine-tuned small multimodal model for SystemVerilog assertion generation

MiCaST: Missingness-aware Causal Attention and Missing-Conditioned Phase Alignment for Time Series