Kahini Wadhawan

According to our database, Kahini Wadhawan authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Causal ATE Mitigates Unintended Bias in Controlled Text Generation.

Rahul Madhavan, Kahini Wadhawan

CoRR, 2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation.

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Causal Graphs Underlying Generative Models: Path to Learning with Limited Data.

Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam

CoRR, 2022

2021

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

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, James Hedrick, Jason Crain, Aleksandra Mojsilovic

CoRR, 2020

Effects of Naturalistic Variation in Goal-Oriented Dialog.

Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Text Style Transfer Using Partly-Shared Decoder.

Gil Halevi, Kahini Wadhawan

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

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

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

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

Co-regularized Alignment for Unsupervised Domain Adaptation.

Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Improved Neural Text Attribute Transfer with Non-parallel Data.

Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar

CoRR, 2017

Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks.

Cícero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou

CoRR, 2017