Bharath Ramsundar

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Citations	5586	5428
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i10-index	21	20

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Vijay PandeAndreessen Horowitz, Stanford UniversityVerified email at stanford.edu
Evan N. FeinbergStanford UniversityVerified email at stanford.edu
Swaminathan SundararamanPyxeda AIVerified email at cs.wisc.edu
Zhenqin WuPhD Student, Stanford UniversityVerified email at stanford.edu
Andre EstevaHead of Medical AI, SalesforceVerified email at salesforce.com
Jeff DeanGoogle Senior Fellow & SVP, Google Research and HealthVerified email at google.com
Karl LeswingSchrodinger IncVerified email at schrodinger.com
Bowen Liuinsitro, previously StanfordVerified email at cs.stanford.edu
Dale R WebsterResearch Director, GoogleVerified email at google.com
Steven KearnesRelay TherapeuticsVerified email at relaytx.com
David Konerdinggoogle.comVerified email at konerding.com
Patrick RileyRelay TherapeuticsVerified email at relaytx.com
Prasad KawthekarStanford CS 2018Verified email at stanford.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Raju RangaswamiFlorida International UniversityVerified email at cs.fiu.edu
Robert T. McGibbonD.E. Shaw ResearchVerified email at DEShawResearch.com
Gert KissRevolution MedicinesVerified email at revolutionmedicines.com
Mohammad Muneeb SultaninsitroVerified email at insitro.com
Yusuf Bugra EROLPhD Student, UC BerkeleyVerified email at eecs.berkeley.edu
Lei LiUniversity of California Santa BarbaraVerified email at cs.ucsb.edu

Bharath Ramsundar

Deep Forest Sciences, DeepChem, previously Computable, previously Stanford

Verified email at stanford.edu

Drug Discovery Machine Learning Cryptography Cryptoeconomics


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A guide to deep learning in healthcare A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ... Nature medicine 25 (1), 24-29, 2019	1356	2019
MoleculeNet: a benchmark for molecular machine learning Z Wu, B Ramsundar, EN Feinberg, J Gomes, C Geniesse, AS Pappu, ... Chemical science 9 (2), 513-530, 2018	1125	2018
Low data drug discovery with one-shot learning H Altae-Tran, B Ramsundar, AS Pappu, V Pande ACS central science 3 (4), 283-293, 2017	526	2017
Massively multitask networks for drug discovery B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande arXiv preprint arXiv:1502.02072, 2015	465	2015
Non-volatile key-value store N Talagala, S Sundararaman, B Ramsundar, A Batwara US Patent 9,075,710, 2015	360	2015
Retrosynthetic reaction prediction using neural sequence-to-sequence models B Liu, B Ramsundar, P Kawthekar, J Shi, J Gomes, Q Luu Nguyen, S Ho, ... ACS central science 3 (10), 1103-1113, 2017	264	2017
Deep learning for the life sciences: applying deep learning to genomics, microscopy, drug discovery, and more B Ramsundar, P Eastman, P Walters, V Pande O'Reilly Media, 2019	224	2019
PotentialNet for molecular property prediction EN Feinberg, D Sur, Z Wu, BE Husic, H Mai, Y Li, S Sun, J Yang, ... ACS central science 4 (11), 1520-1530, 2018	193	2018
Conditional iteration for a non-volatile device B Ramsundar, N Talagala, S Sundararaman US Patent 9,519,575, 2016	190	2016
Is multitask deep learning practical for pharma? B Ramsundar, B Liu, Z Wu, A Verras, M Tudor, RP Sheridan, V Pande Journal of chemical information and modeling 57 (8), 2068-2076, 2017	176	2017
Atomic convolutional networks for predicting protein-ligand binding affinity J Gomes, B Ramsundar, EN Feinberg, VS Pande arXiv preprint arXiv:1703.10603, 2017	168	2017
Computational modeling of β-secretase 1 (BACE-1) inhibitors using ligand based approaches G Subramanian, B Ramsundar, V Pande, RA Denny Journal of chemical information and modeling 56 (10), 1936-1949, 2016	139	2016
TensorFlow for deep learning: from linear regression to reinforcement learning B Ramsundar, RB Zadeh " O'Reilly Media, Inc.", 2018	114	2018
{NVMKV}: A Scalable and Lightweight Flash Aware {Key-Value} Store L Marmol, S Sundararaman, N Talagala, R Rangaswami, S Devendrappa, ... 6th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 14), 2014	66	2014
Chemberta: Large-scale self-supervised pretraining for molecular property prediction S Chithrananda, G Grand, B Ramsundar arXiv preprint arXiv:2010.09885, 2020	60	2020
AMPL: a data-driven modeling pipeline for drug discovery AJ Minnich, K McLoughlin, M Tse, J Deng, A Weber, N Murad, BD Madej, ... Journal of chemical information and modeling 60 (4), 1955-1968, 2020	35	2020
Understanding protein dynamics with L1-regularized reversible hidden Markov models R McGibbon, B Ramsundar, M Sultan, G Kiss, V Pande International Conference on Machine Learning, 1197-1205, 2014	26	2014
Solving the RNA design problem with reinforcement learning P Eastman, J Shi, B Ramsundar, VS Pande PLoS computational biology 14 (6), e1006176, 2018	23	2018
TensorFlow for Deep Learning RZ Bosagh, B Ramsundar O'Reilly Media, Incorporated, 2018	18	2018
Molecular machine learning with DeepChem B Ramsundar Stanford University, 2018	13	2018

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