Bharath Ramsundar

Dikutip oleh

	Semua	Sejak 2020
Kutipan	14722	12992
indeks-h	26	24
indeks-i10	34	31

3900

1950

975

2925

201620172018201920202021202220232024202587 190 430 852 1405 1855 2189 2776 3878 870

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Vijay PandeAndreessen Horowitz, Stanford UniversityEmail yang diverifikasi di stanford.edu
Zhenqin WuAssistant Professor, The University of Hong KongEmail yang diverifikasi di cs.hku.hk
Swaminathan SundararamanIBM ResearchEmail yang diverifikasi di cs.wisc.edu
Evan N. FeinbergStanford UniversityEmail yang diverifikasi di stanford.edu
Karl LeswingSchrodinger IncEmail yang diverifikasi di schrodinger.com
Andre EstevaCo-Founder & CEO, ArteraEmail yang diverifikasi di artera.ai
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindEmail yang diverifikasi di google.com
Bowen LiuAndreessen Horowitz, insitro, StanfordEmail yang diverifikasi di cs.stanford.edu
Dale R WebsterResearch Director, GoogleEmail yang diverifikasi di google.com
Steven KearnesOpen Reaction DatabaseEmail yang diverifikasi di open-reaction-database.org
David KonerdingGenentechEmail yang diverifikasi di konerding.com
Patrick RileyRelay TherapeuticsEmail yang diverifikasi di relaytx.com
Prasad KawthekarStanford CS 2018Email yang diverifikasi di stanford.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyEmail yang diverifikasi di cs.berkeley.edu
Raju RangaswamiFlorida International UniversityEmail yang diverifikasi di cs.fiu.edu
Robert T. McGibbonD.E. Shaw ResearchEmail yang diverifikasi di DEShawResearch.com
Gert KissType6 TherapeuticsEmail yang diverifikasi di type6tx.com
Mohammad Muneeb SultanabsciEmail yang diverifikasi di absci.com
Yusuf Bugra EROLPhD Student, UC BerkeleyEmail yang diverifikasi di eecs.berkeley.edu
Lei LiCarnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu

Ikuti

Bharath Ramsundar

Deep Forest Sciences, DeepChem, previously Computable, previously Stanford

Email yang diverifikasi di stanford.edu

Differentiable Physics Drug Discovery Machine Learning Cryptography Cryptoeconomics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	3872	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	3107	2018
Scientific discovery in the age of artificial intelligence H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ... Nature 620 (7972), 47-60, 2023	971	2023
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	935	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	770*	2019
Massively multitask networks for drug discovery B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande arXiv preprint arXiv:1502.02072, 2015	638	2015
ChemBERTa: large-scale self-supervised pretraining for molecular property prediction S Chithrananda, G Grand, B Ramsundar arXiv preprint arXiv:2010.09885, 2020	595	2020
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	551	2017
Non-volatile key-value store N Talagala, S Sundararaman, B Ramsundar, A Batwara US Patent 9,075,710, 2015	539	2015
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	421	2018
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	316	2016
Conditional iteration for a non-volatile device B Ramsundar, N Talagala, S Sundararaman US Patent 9,519,575, 2016	299	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	286	2017
Atomic convolutional networks for predicting protein-ligand binding affinity J Gomes, B Ramsundar, EN Feinberg, VS Pande arXiv preprint arXiv:1703.10603, 2017	259	2017
TensorFlow for deep learning: from linear regression to reinforcement learning B Ramsundar, RB Zadeh " O'Reilly Media, Inc.", 2018	236	2018
Chemberta-2: Towards chemical foundation models W Ahmad, E Simon, S Chithrananda, G Grand, B Ramsundar arXiv preprint arXiv:2209.01712, 2022	174	2022
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	95	2020
{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	73	2014
Machine learning abstraction N Talagala, V Sridhar, S Sundararaman, S Ghanta, L Amar, L Khermosh, ... US Patent 11,748,653, 2023	72	2023
Determining validity of machine learning algorithms for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/049,647, 2020	71	2020

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