Santos, Javier E.

7 publications

TMLR 2025 Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching An Vuong, Michael Thompson McCann, Javier E. Santos, Yen Ting Lin

NeurIPS 2025 Benchmarking Large Language Models with Integer Sequence Generation Tasks Daniel O'Malley, Manish Bhattarai, Nishath Rajiv Ranasinghe, Erick Draayer, Javier E. Santos

NeurIPS 2025 Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos, Agnese Marcato, Roman Colman, Nicholas Lubbers, Yen Ting Lin

NeurIPSW 2024 Developing a Foundation Model for Predicting Material Failure Agnese Marcato, Javier E. Santos, Aleksandra Pachalieva, Kai Gao, Ryley Hill, Esteban Rougier, Qinjun Kang, Jeffrey Hyman, Abigail Hunter, Janel Chua, Earl Lawrence, Hari Viswanathan, Daniel O'Malley

NeurIPSW 2024 Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation Manish Bhattarai, Minh N. Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley

NeurIPSW 2024 Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation Manish Bhattarai, Javier E. Santos, Ismael Boureima, Daniel O'Malley

ICML 2023 Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin