Kahini Wadhawan

18 papers A* 1B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data. Trans. Mach. Learn. Res. Samuel C. Hoffman, Payel Das, Karthikeyan Shanmugam, Kahini Wadhawan, Prasanna Sattigeri
2023	—	`conf`	CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. ACL (Findings) Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta
2023	J	`jnl`	CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. CoRR Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta
2023	J	`jnl`	Causal ATE Mitigates Unintended Bias in Controlled Text Generation. CoRR Rahul Madhavan, Kahini Wadhawan
2022	J	`jnl`	Causal Graphs Underlying Generative Models: Path to Learning with Limited Data. CoRR Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam
2022	J	`jnl`	Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
2021	J	`jnl`	Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. CoRR Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney
2020	J	`jnl`	Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic
2020	—	`conf`	Effects of Naturalistic Variation in Goal-Oriented Dialog. EMNLP (Findings) Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan
2020	J	`jnl`	Effects of Naturalistic Variation in Goal-Oriented Dialog. CoRR Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan
2020	J	`jnl`	Optimizing Molecules using Efficient Queries from Property Evaluations. CoRR Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
2019	—	`conf`	Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan
2019	B	`conf`	Text Style Transfer Using Partly-Shared Decoder. ICTAI Gil Halevi, Kahini Wadhawan
2018	A*	`conf`	Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell
2018	J	`jnl`	Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell
2018	J	`jnl`	PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
2017	J	`jnl`	Improved Neural Text Attribute Transfer with Non-parallel Data. CoRR Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar
2017	J	`jnl`	Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks. CoRR Cícero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou