Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Inkit Padhi
Publications
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
Tabular Transformers for Modeling Multivariate Time Series
- Inkit Padhi
- Yair Schiff
- et al.
- 2021
- ICASSP 2021
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
- Payel Das
- Tom Sercu
- et al.
- 2021
- Nature Biomedical Engineering
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
- Payel Das
- Tom Sercu
- et al.
- 2021
- arXiv
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
- Nishtha Madaan
- Inkit Padhi
- et al.
- 2021
- AAAI 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Patents
- US
- 12079730
- US
- 11829726
- CN
- ZL202010034449.5
- US
- 11645555
- US
- 11494802
- US
- 11481626
- US
- 11373760
- US
- 11189269
- US
- 11174289
- US
- 11093707
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