フォロー
Vijil Chenthamarakshan
Vijil Chenthamarakshan
IBM Research
確認したメール アドレス: us.ibm.com
タイトル
引用先
引用先
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
3412022
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
3402021
Protein Representation Learning by Geometric Structure Pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
ICLR 2023, 2022
2362022
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
1932019
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
1092020
Optimizing molecules using efficient queries from property evaluations
SC Hoffman, V Chenthamarakshan, K Wadhawan, PY Chen, P Das
Nature Machine Intelligence, 1-11, 2021
852021
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
762018
Fairness GAN
P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney
arXiv preprint arXiv:1805.09910, 2018
732018
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
562014
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
502023
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
502010
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
402011
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
392008
Enhancing protein language models with structure-based encoder and pre-training
Z Zhang, M Xu, V Chenthamarakshan, A Lozano, P Das, J Tang
arXiv preprint arXiv:2303.06275, 2023
362023
System and method for domain adaption with partial observation
VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang
US Patent 8,856,052, 2014
332014
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
32*2023
Accelerating drug target inhibitor discovery with a deep generative foundation model
V Chenthamarakshan, SC Hoffman, CD Owen, P Lukacik, ...
Science Advances 9 (25), eadg7865, 2023
282023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
J Scantlebury, L Vost, A Carbery, TE Hadfield, OM Turnbull, N Brown, ...
Journal of Chemical Information and Modeling, 2023
282023
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