Efficient and Adaptive Gradient Boosted Decision Trees: System and Algorithm Co-design
June 16, 2026
Towards Scalable and Generalizable Neural PDE Solvers: Learning Across Scales, Geometries, and Physics
April 21, 2026
Augmenting Financial Time Series Analysis with Large Models: Progressive Representations from Tokens to Visuals
March 18, 2026
From Iterative to Instantaneous: Diffusion Post-Training for Real-Time High-Quality Generation
January 30, 2026
Decoupling Tumor–Microenvironment Co-evolution via Spatial-temporal Transcriptomics Data
January 14, 2026
Machine Learning under Scarcity: Addressing Data Scarcity in Tabular Models and Computational Scarcity in Statistical Estimation
January 6, 2026