Inkit Padhi

According to our database, Inkit Padhi authored at least 32 papers between 2016 and 2024.

Collaborative distances:

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

2024

Contextual Moral Value Alignment Through Context-Based Aggregation.

Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf

CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.

Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici

CoRR, 2024

2023

The incentive gap in data work in the era of large models.

Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney

Nat. Mac. Intell., June, 2023

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.

Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

The Impact of Positional Encoding on Length Generalization in Transformers.

Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reprogramming Pretrained Language Models for Antibody Sequence Infilling.

Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das

Proceedings of the International Conference on Machine Learning, 2023

Explainable Cross-Topic Stance Detection for Search Results.

Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2022

Large-scale chemical language representations capture molecular structure and properties.

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

Nat. Mac. Intell., December, 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

J. Artif. Intell. Res., 2022

Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.

Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das

CoRR, 2022

GT4SD: Generative Toolkit for Scientific Discovery.

Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.

Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Do Large Scale Molecular Language Representations Capture Important Structural Information?

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

CoRR, 2021

Tabular Transformers for Modeling Multivariate Time Series.

Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman

Proceedings of the IEEE International Conference on Acoustics, 2021

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.

Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text.

Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff

CoRR, 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

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.

Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic

CoRR, 2020

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.

Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DualTKB: A Dual Learning Bridge between Text and Knowledge Base.

Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Implicit Text Generation via Feature Matching.

Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Sobolev Independence Criterion.

Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Learning Implicit Generative Models by Matching Perceptual Features.

Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry.

Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.

Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 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

2016

Does String-Based Neural MT Learn Source Syntax?

Xing Shi, Inkit Padhi, Kevin Knight

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016