Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023
Inkit Padhi
Publications
Accelerating material design with the generative toolkit for scientific discovery
- Matteo Manica
- Jannis Born
- et al.
- 2023
- npj Computational Materials
Explainable Cross-Topic Stance Detection for Search Results
- Tim Draws
- Karthikeyan Natesan Ramamurthy
- et al.
- 2023
- CHIIR 2023
Large-scale chemical language representations capture molecular structure and properties
- Jerret Ross
- Brian Belgodere
- et al.
- 2022
- Nature Machine Intelligence
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
- Pierre Dognin
- Igor Melnyk
- et al.
- 2022
- JAIR
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence Design
- Devleena Das
- Inkit Padhi
- et al.
- 2021
- NeurIPS 2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
- Pierre Dognin
- Inkit Padhi
- et al.
- 2021
- EMNLP 2021
Patents
- US
- 11023683
Blog posts
An AI foundation model that learns the grammar of molecules
NewsPayel Das, Youssef Mroueh, Inkit Padhi, Vijil Chenthamarakshan, Jerret Ross, and Brian BelgodereIBM researchers check AI bias with counterfactual text
ResearchInkit Padhi, Nishtha Madaan, Naveen Panwar, and Diptikalyan Saha5 minute read