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Vijil Chenthamarakshan
Vijil Chenthamarakshan
IBM Research
Verified email at us.ibm.com
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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
3282021
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
3092022
Protein Representation Learning by Geometric Structure Pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
ICLR 2023, 2022
2172022
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
1902019
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
1582010
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
1062020
Optimizing molecules using efficient queries from property evaluations
SC Hoffman, V Chenthamarakshan, K Wadhawan, PY Chen, P Das
Nature Machine Intelligence, 1-11, 2021
822021
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
742018
Fairness GAN
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
arXiv preprint arXiv:1805.09910, 2018
742018
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
542014
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
512010
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations
B Sharma, V Chenthamarakshan, A Dhurandhar, S Pereira, JA Hendler, ...
Scientific Reports 13 (1), 4908, 2023
442023
Method for an efficient electronic messaging system
SO Agrawal, VE Chenthamarakshan, EWB Dlas
US Patent 7,890,591, 2011
402011
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
392011
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
392008
System and method for domain adaption with partial observation
VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang
US Patent 8,856,052, 2014
332014
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
An end-to-end deep learning framework for translating mass spectra to de-novo molecules
EE Litsa, V Chenthamarakshan, P Das, LE Kavraki
Communications Chemistry 6 (1), 132, 2023
27*2023
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
Reprogramming pretrained language models for antibody sequence infilling
I Melnyk, V Chenthamarakshan, PY Chen, P Das, A Dhurandhar, I Padhi, ...
International Conference on Machine Learning, 24398-24419, 2023
252023
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