Dror, Ron O.

5 publications

NeurIPS 2025 Unlocking Hidden Biomolecular Conformational Landscapes in Diffusion Models at Inference Time Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori, Ron O. Dror

ICLRW 2023 FlexVDW: A Machine Learning Approach to Account for Protein Flexibility in Ligand Docking Patricia Adriana Suriana, Joseph M Paggi, Ron O. Dror

ICML 2023 Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu, Alexander S Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec

ICLRW 2022 Fragment-Based Ligand Generation Guided by Geometric Deep Learning on Protein-Ligand Structures Alexander S Powers, Helen H. Yu, Patricia Adriana Suriana, Ron O. Dror

CVPR 2001 Statistics of Real-World Illumination Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky