Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks. - Cícero Nogueira dos Santos; Kahini Wadhawan; Bowen Zhou (CoRR, 2017)

Improved Neural Text Attribute Transfer with Non-parallel Data. - Igor Melnyk; Cícero Nogueira dos Santos; Kahini Wadhawan; Inkit Padhi; Abhishek Kumar (CoRR, 2017)

Co-regularized Alignment for Unsupervised Domain Adaptation. - Abhishek Kumar 001; Prasanna Sattigeri; Kahini Wadhawan; Leonid Karlinsky; Rogério Schmidt Feris; Bill Freeman; Gregory W. Wornell (NeurIPS, 2018)

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. - Payel Das; Kahini Wadhawan; Oscar Chang; Tom Sercu; Cícero Nogueira dos Santos; Matthew Riemer; Inkit Padhi; Vijil Chenthamarakshan; Aleksandra Mojsilovic (CoRR, 2018)

Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. - Tom Sercu; Sebastian Gehrmann; Hendrik Strobelt; Payel Das; Inkit Padhi; Cícero Nogueira dos Santos; Kahini Wadhawan; Vijil Chenthamarakshan (DGS@ICLR, 2019)

Text Style Transfer Using Partly-Shared Decoder. - Gil Halevi; Kahini Wadhawan (ICTAI, 2019)

Effects of Naturalistic Variation in Goal-Oriented Dialog. - Jatin Ganhotra; Robert Moore; Sachindra Joshi; Kahini Wadhawan (EMNLP (Findings), 2020)

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. - 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; et al. (CoRR, 2020)

Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. - Kahini Wadhawan; Payel Das; Barbara A. Han; Ilya R. Fischhoff; Adrian C. Castellanos; Arvind Varsani; Kush R. Varshney (CoRR, 2021)

Causal Graphs Underlying Generative Models: Path to Learning with Limited Data. - Samuel C. Hoffman; Kahini Wadhawan; Payel Das; Prasanna Sattigeri; Karthikeyan Shanmugam (CoRR, 2022)

Optimizing molecules using efficient queries from property evaluations. - Samuel C. Hoffman; Vijil Chenthamarakshan; Kahini Wadhawan; Pin-Yu Chen; Payel Das (Nat. Mach. Intell., 2022)

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. - Rahul Madhavan; Rishabh Garg; Kahini Wadhawan; Sameep Mehta (ACL (Findings), 2023)

Causal ATE Mitigates Unintended Bias in Controlled Text Generation. - Rahul Madhavan; Kahini Wadhawan (CoRR, 2023)

Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data. - Samuel C. Hoffman; Payel Das; Karthikeyan Shanmugam; Kahini Wadhawan; Prasanna Sattigeri (Trans. Mach. Learn. Res., 2024)