Bharath Ramsundar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Computational Modeling

Top Venues

J. Chem. Inf. Model.

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Publications

Shai Pranesh, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar
Open-Source Fermionic Neural Networks with Ionic Charge Initialization. CoRR (2024)
Danika Gupta, Bharath Ramsundar
Poster: Ensemble Methods for ADR Prediction. CHASE (2024)
Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan
Self-supervised Pretraining for Partial Differential Equations. CoRR (2024)
Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan
Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar
Open Source Infrastructure for Differentiable Density Functional Theory. CoRR (2023)
Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan
Score-Based Generative Models for Molecule Generation. CoRR (2022)
Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar
FastFlows: Flow-Based Models for Molecular Graph Generation. CoRR (2022)
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
ChemBERTa-2: Towards Chemical Foundation Models. CoRR (2022)
Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally
Bringing Atomistic Deep Learning to Prime Time. CoRR (2021)
Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan
Differentiable Physics: A Position Piece. CoRR (2021)
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction. CoRR (2020)
Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. J. Chem. Inf. Model. 60 (4) (2020)
Nisha Talagala, Bharath Ramsundar, Swaminathan Sundararaman
From Data Science to Production ML: Introducing USENIX OpML. login Usenix Mag. 44 (1) (2019)
Fattaneh Bayatbabolghani, Bharath Ramsundar
Secure Computation in Decentralized Data Markets. CoRR (2019)
Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. CoRR (2019)
Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh
Tokenized Data Markets. CoRR (2018)
Peter K. Eastman, Jade Shi, Bharath Ramsundar, Vijay S. Pande
Solving the RNA design problem with reinforcement learning. PLoS Comput. Biol. 14 (6) (2018)
Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande
Spatial Graph Convolutions for Drug Discovery. CoRR (2018)
Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg, Vijay S. Pande
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity. CoRR (2017)
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay S. Pande
MoleculeNet: A Benchmark for Molecular Machine Learning. CoRR (2017)
Bowen Liu, Bharath Ramsundar, Prasad Kawthekar, Jade Shi, Joseph Gomes, Quang Luu Nguyen, Stephen Ho, Jack Sloane, Paul Wender, Vijay S. Pande
Retrosynthetic reaction prediction using neural sequence-to-sequence models. CoRR (2017)
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P. Sheridan, Vijay S. Pande
Is Multitask Deep Learning Practical for Pharma? J. Chem. Inf. Model. 57 (8) (2017)
Han Altae-Tran, Bharath Ramsundar, Aneesh S. Pappu, Vijay S. Pande
Low Data Drug Discovery with One-shot Learning. CoRR (2016)
Govindan Subramanian, Bharath Ramsundar, Vijay S. Pande, Rajiah A. Denny
Computational Modeling of β-Secretase 1 (BACE-1) Inhibitors Using Ligand Based Approaches. J. Chem. Inf. Model. 56 (10) (2016)
Bharath Ramsundar, Vijay S. Pande
Learning Protein Dynamics with Metastable Switching Systems. CoRR (2016)
Bharath Ramsundar, Steven M. Kearnes, Patrick Riley, Dale Webster, David E. Konerding, Vijay S. Pande
Massively Multitask Networks for Drug Discovery. CoRR (2015)
Leonardo Mármol, Swaminathan Sundararaman, Nisha Talagala, Raju Rangaswami, Sushma Devendrappa, Bharath Ramsundar, Sriram Ganesan
NVMKV: A Scalable and Lightweight Flash Aware Key-Value Store. HotStorage (2014)
Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay S. Pande
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models. ICML (2014)
Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart J. Russell
The Extended Parameter Filter CoRR (2013)
Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart J. Russell
The Extended Parameter Filter. ICML (3) (2013)
Lei Li, Bharath Ramsundar, Stuart J. Russell
Dynamic Scaled Sampling for Deterministic Constraints. AISTATS (2013)