Padhi, Inkit

16 publications

NeurIPS 2025 Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang

ICLR 2025 Programming Refusal with Conditional Activation Steering Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre Dognin, Manish Nagireddy, Amit Dhurandhar

IJCAI 2024 ComVas: Contextual Moral Values Alignment System Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf

ICMLW 2024 Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs Swanand Kadhe, Farhan Ahmed, Dennis Wei, Nathalie Baracaldo, Inkit Padhi

NeurIPSW 2024 Value Alignment from Unstructured Text Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre Dognin, Kush R. Varshney

NeurIPS 2024 WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri

NeurIPSW 2023 Influence Based Approaches to Algorithmic Fairness: A Closer Look Soumya Ghosh, Prasanna Sattigeri, Inkit Padhi, Manish Nagireddy, Jie Chen

ICML 2023 Reprogramming Pretrained Language Models for Antibody Sequence Infilling Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das

NeurIPS 2023 The Impact of Positional Encoding on Length Generalization in Transformers Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

ECML-PKDD 2022 Cloud-Based Real-Time Molecular Screening Platform with MolFormer Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young

NeurIPS 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush R Varshney

JAIR 2022 Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

AAAI 2021 Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

NeurIPS 2020 CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models Vijil Chenthamarakshan, Payel Das, Samuel Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic

ICLRW 2019 Interactive Visual Exploration of Latent Space (IVELS) for Peptide Auto-Encoder Model Selection Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cicero Dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan

NeurIPS 2019 Sobolev Independence Criterion Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cicero Nogueira dos Santos