Follow
Kahini Wadhawan
Kahini Wadhawan
Advisory Research Engineer, AI Foundations, IBM Research
Verified email at ibm.com
Title
Cited by
Cited by
Year
Co-regularized alignment for unsupervised domain adaptation
A Kumar, P Sattigeri, K Wadhawan, L Karlinsky, R Feris, B Freeman, ...
Advances in Neural Information Processing Systems 31, 2018
1362018
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
1002021
Pepcvae: Semi-supervised targeted design of antimicrobial peptide sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ...
arXiv preprint arXiv:1810.07743, 2018
392018
Learning loss functions for semi-supervised learning via discriminative adversarial networks
CN Santos, K Wadhawan, B Zhou
arXiv preprint arXiv:1707.02198, 2017
282017
Improved neural text attribute transfer with non-parallel data
I Melnyk, CN Santos, K Wadhawan, I Padhi, A Kumar
arXiv preprint arXiv:1711.09395, 2017
212017
Optimizing molecules using efficient queries from property evaluations
SC Hoffman, V Chenthamarakshan, K Wadhawan, PY Chen, P Das
Nature Machine Intelligence 4 (1), 21-31, 2022
172022
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
82020
PepCVAE: Semisupervised targeted design of antimicrobial peptide sequences.[online]. 2018
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ...
61810
Effects of naturalistic variation in goal-oriented dialog
J Ganhotra, R Moore, S Joshi, K Wadhawan
arXiv preprint arXiv:2010.02260, 2020
52020
Towards interpreting zoonotic potential of betacoronavirus sequences with attention
K Wadhawan, P Das, BA Han, IR Fischhoff, AC Castellanos, A Varsani, ...
arXiv preprint arXiv:2108.08077, 2021
42021
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, ...
42019
INTERACTIVE VISUAL EXPLORATION OF LATENT
T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, ...
32019
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data
SC Hoffman, K Wadhawan, P Das, P Sattigeri, K Shanmugam
arXiv preprint arXiv:2207.07174, 2022
12022
Computational creativity based on a tunable creativity control function of a model
P Das, A Mojsilovic, E Johnson, K Wadhawan, PY Chen
US Patent App. 16/457,392, 2020
12020
Investigation of Word Representation Methods for Biomedical Domain
K Wadhawan
University of Colorado at Boulder, 2016
12016
Generating attribute-based samples
P Das, TDJ Sercu, K Wadhawan, CN dos Santos, I Padhi, S Gehrmann
US Patent 11,481,626, 2022
2022
Query-based molecule optimization and applications to functional molecule discovery
SC Hoffman, EC Vijil, PY Chen, P Das, K Wadhawan
US Patent App. 17/016,640, 2022
2022
Artificial intelligence designed antimicrobial peptides
P Das, F Cipcigan, JL Hedrick, YY Yang, K Wadhawan, I Padhi, EC Vijil, ...
US Patent App. 17/487,225, 2022
2022
Filtering artificial intelligence designed molecules for laboratory testing
P Das, F Cipcigan, K Wadhawan, I Padhi, EC Vijil, PY Chen, A Mojsilovic, ...
US Patent App. 16/880,021, 2021
2021
Artificial intelligence designed antimicrobial peptides
P Das, F Cipcigan, JL Hedrick, YY Yang, K Wadhawan, I Padhi, EC Vijil, ...
US Patent 11,174,289, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20