| 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 | 268 | 2021 |
| 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 | 194 | 2018 |
| 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 | 71 | 2022 |
| 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 | 64 | 2018 |
| Learning loss functions for semi-supervised learning via discriminative adversarial networks CN Santos, K Wadhawan, B Zhou arXiv preprint arXiv:1707.02198, 2017 | 32 | 2017 |
| 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 | 26 | 2017 |
| 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 | 13 | 2020 |
| 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 | 9 | |
| 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, ... | 6 | 2019 |
| 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 | 4 | 2021 |
| Effects of naturalistic variation in goal-oriented dialog J Ganhotra, R Moore, S Joshi, K Wadhawan arXiv preprint arXiv:2010.02260, 2020 | 4 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| INTERACTIVE VISUAL EXPLORATION OF LATENT T Sercu, S Gehrmann, H Strobelt, P Das, I Padhi, C Dos Santos, ... | 3 | 2019 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| Text Style Transfer Using Partly-Shared Decoder G Halevi, K Wadhawan 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 1 | 2019 |
| 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 | 1 | 2018 |
| Investigation of Word Representation Methods for Biomedical Domain K Wadhawan University of Colorado at Boulder, 2016 | 1 | 2016 |
Cicero Nogueira dos SantosResearch Scientist, Google DeepMindVerified email at google.com
