Ramanathan, Arvind

8 publications

ICLRW 2025 Antibody Design Using Preference Optimization and Structural Inference Archit Vasan, Gautham Dharuman, Ozan Gokdemir, Heng Ma, Arvind Ramanathan

ICML 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar

NeurIPSW 2024 Understanding Protein-DNA Interactions by Paying Attention to Protein and Genomics Foundation Models Dhruva Rajwade, Erica Wang, Aryan Satpathy, Alexander Brace, Hongyu Guo, Arvind Ramanathan, Shengchao Liu, Anima Anandkumar

NeurIPSW 2024 Understanding Protein-DNA Interactions by Paying Attention to Protein and Genomics Foundation Models Dhruva Rajwade, Erica Wang, Aryan Satpathy, Alexander Brace, Hongyu Guo, Arvind Ramanathan, Shengchao Liu, Anima Anandkumar

NeurIPSW 2023 DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery Through Sophisticated AI System Technologies Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Rick L. Stevens, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Prasanna Balaprakash, Yuxiong He

NeurIPSW 2022 Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini, Filippo Simini, Austin Clyde, Arvind Ramanathan

NeurIPSW 2022 Integrating AI, Automation and Multiscale Simulations for End-to-End Design of Phase-Separating Proteins Arvind Ramanathan

AAAI 2022 Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha