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Vijil Chenthamarakshan
Vijil Chenthamarakshan
IBM Research
Verified email at us.ibm.com
Title
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Cited by
Year
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
Nature Biomedical Engineering 5 (6), 613-623, 2021
2472021
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
Proc. ICLR Workshop Safe Mach. Learn 2, 2019
1592019
Large-scale chemical language representations capture molecular structure and properties
J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das
Nature Machine Intelligence 4 (12), 1256-1264, 2022
1582022
PROSPECT: a system for screening candidates for recruitment
A Singh, C Rose, K Visweswariah, V Chenthamarakshan, N Kambhatla
Proceedings of the 19th ACM international conference on Information and …, 2010
1532010
Protein Representation Learning by Geometric Structure Pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
ICLR 2023, 2022
1402022
Cogmol: Target-specific and selective drug design for covid-19 using deep generative models
V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ...
Advances in Neural Information Processing Systems 33, 2020
972020
Optimizing molecules using efficient queries from property evaluations
SC Hoffman, V Chenthamarakshan, K Wadhawan, PY Chen, P Das
Nature Machine Intelligence, 1-11, 2021
682021
Fairness GAN
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
arXiv preprint arXiv:1805.09910, 2018
632018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, I Padhi, ...
arXiv preprint arXiv:1810.07743, 2018
592018
Predicting employee expertise for talent management in the enterprise
KR Varshney, V Chenthamarakshan, SW Fancher, J Wang, D Fang, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
522014
Syntax based reordering with automatically derived rules for improved statistical machine translation
K Visweswariah, J Navrátil, J Sorensen, V Chenthamarakshan, ...
Proceedings of the 23rd International Conference on Computational …, 2010
492010
Method for an efficient electronic messaging system
SO Agrawal, VE Chenthamarakshan, EWB Dlas
US Patent 7,890,591, 2011
402011
Rule based synonyms for entity extraction from noisy text
R Ananthanarayanan, V Chenthamarakshan, PM Deshpande, ...
Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008
372008
Concept labeling: Building text classifiers with minimal supervision
V Chenthamarakshan, P Melville, V Sindhwani, RD Lawrence
Proceedings of the Twenty-Second international joint conference on …, 2011
362011
System and method for domain adaption with partial observation
VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang
US Patent 8,856,052, 2014
322014
Matching candidates with positions based on historical assignment data
VE Chenthamarakshan, N Kambhatla, RC Kanjiranthinkal, AKR Singh, ...
US Patent App. 13/596,817, 2012
28*2012
Fold2seq: A joint sequence (1d)-fold (3d) embedding-based generative model for protein design
Y Cao, P Das, V Chenthamarakshan, PY Chen, I Melnyk, Y Shen
International Conference on Machine Learning, 1261-1271, 2021
262021
SYSTEMS AND METHODS FOR MATCHING CANDIDATES WITH POSITIONS BASED ON HISTORICAL ASSIGNMENT DATA
VE Chenthamarakshan, N Kambhatla, RC Kanjiranthinkal, AKR Singh, ...
US Patent App. 12/944,868, 2010
252010
System and method for domain adaption with partial observation
VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang
US Patent 8,856,050, 2014
222014
System and method for domain adaption with partial observation
VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang
US Patent 8,856,050, 2014
222014
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