Inkit Padhi
Inkit Padhi
IBM Research
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Does String-Based Neural MT Learn Source Syntax?
X Shi, I Padhi, K Knight
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
CN Santos, I Melnyk, I Padhi
Proceedings of ACL 2018, P18-2031, 2018
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
V Chenthamarakshan, P Das, I Padhi, H Strobelt, KW Lim, B Hoover, ...
arXiv preprint arXiv:2004.01215, 2020
Improved Neural Text Attribute Transfer with Non-parallel Data
I Melnyk, CN Santos, K Wadhawan, I Padhi, A Kumar
NIPS 2017 Workshop on Learning Disentangled Representations: from Perception …, 2017
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
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
Learning Implicit Generative Models by Matching Perceptual Features
CN Santos, Y Mroueh, I Padhi, P Dognin
Proceedings of the IEEE International Conference on Computer Vision, 4461-4470, 2019
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, 1-11, 2021
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
N Madaan, I Padhi, N Panwar, D Saha
Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ...
arXiv preprint arXiv:2005.11248, 2020
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ...
arXiv preprint arXiv:2012.11696, 2020
Tabular Transformers for Modeling Multivariate Time Series
I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry
Y Zhao, I Baldini, P Sattigeri, I Padhi, YK Lee, E Smith
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 347-353, 2018
Generative Feature Matching Networks
CN dos Santos, I Padhi, P Dognin, Y Mroueh
Do Large Scale Molecular Language Representations Capture Important Structural Information?
J Ross, B Belgodere, V Chenthamarakshan, I Padhi, Y Mroueh, P Das
arXiv preprint arXiv:2106.09553, 2021
Alleviating Noisy Data in Image Captioning with Cooperative Distillation
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff
arXiv preprint arXiv:2012.11691, 2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
PL Dognin, I Melnyk, I Padhi, CN Santos, P Das
EMNLP 2020, 2020
Learning Implicit Text Generation via Feature Matching
I Padhi, P Dognin, K Bai, CN Santos, V Chenthamarakshan, Y Mroueh, ...
ACL 2020, 2020
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection
T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, ...
Sobolev Independence Criterion
Y Mroueh, T Sercu, M Rigotti, I Padhi, C Nogueira dos Santos
Advances in Neural Information Processing Systems 32, 9509-9519, 2019
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