Kahini Wadhawan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Boosting Framework

Generative Model

Top Venues

Nat. Mach. Intell.

Publications

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. ACL (Findings) (2023)
Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. CoRR (2023)
Rahul Madhavan, Kahini Wadhawan
Causal ATE Mitigates Unintended Bias in Controlled Text Generation. CoRR (2023)
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4 (1) (2022)
Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data. CoRR (2022)
Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney
Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. CoRR (2021)
Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan
Effects of Naturalistic Variation in Goal-Oriented Dialog. EMNLP (Findings) (2020)
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
Optimizing Molecules using Efficient Queries from Property Evaluations. CoRR (2020)
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
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR (2020)
Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan
Effects of Naturalistic Variation in Goal-Oriented Dialog. CoRR (2020)
Gil Halevi, Kahini Wadhawan
Text Style Transfer Using Partly-Shared Decoder. ICTAI (2019)
Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR (2019)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR (2018)
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR (2018)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS (2018)
Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar
Improved Neural Text Attribute Transfer with Non-parallel Data. CoRR (2017)
Cícero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks. CoRR (2017)