[ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs). - GitHub - hrtan/fastmix: [ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs).
[SIGGRAPH Asia 2025] Implementation of "StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data" - GitHub - Murrol/StableMotion: [SIGGRAPH Asia 2025] Implementation of "StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data"
Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning. A risk-aware framework that learns diverse Pareto solutions from offline data by combining energy-based OOD risk control with nested preference-model optimization and a novel IGD_off selection strategy. ICML 2026. - GitHub - YaolinWen/DOMOO: Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning. A risk-aware framework that learns diverse Pareto solutions from offline data by combining energy-based OOD risk control with nested preference-model optimization and a novel IGD_off selection strategy. ICML 2026.