Seguir
Kahini Wadhawan
Kahini Wadhawan
Advisory Research Engineer, AI Foundations, IBM Research
E-mail confirmado em ibm.com
Título
Citado por
Citado por
Ano
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
2252021
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
1902018
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
622022
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
562018
Learning loss functions for semi-supervised learning via discriminative adversarial networks
CN Santos, K Wadhawan, B Zhou
arXiv preprint arXiv:1707.02198, 2017
312017
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
262017
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
112020
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. arXiv 2018
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, ...
arXiv preprint arXiv:1810.07743, 0
8
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, ...
52019
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
Effects of naturalistic variation in goal-oriented dialog
J Ganhotra, R Moore, S Joshi, K Wadhawan
arXiv preprint arXiv:2010.02260, 2020
42020
Unsupervised text style transfer system for improved online social media experience
I Melnyk, CN dos Santos, I Padhi, K Wadhawan, A Kumar
US Patent App. 16/151,620, 2020
32020
INTERACTIVE VISUAL EXPLORATION OF LATENT
T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, ...
32019
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
R Madhavan, R Garg, K Wadhawan, S Mehta
arXiv preprint arXiv:2306.00374, 2023
22023
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
22022
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
22020
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
12022
Text Style Transfer Using Partly-Shared Decoder
G Halevi, K Wadhawan
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
12019
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Molecules
P Das, K Wadhawan, O Chang, T Sercu, C dos Santos, M Riemer, ...
arXiv preprint arXiv:1810.07743, 2018
12018
Investigation of Word Representation Methods for Biomedical Domain
K Wadhawan
University of Colorado at Boulder, 2016
12016
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20