Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)Matteo ManicaJoris Cadowet al.2022MRS Fall Meeting 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)Matteo ManicaJoris Cadowet al.2022ACS Fall 2022
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 ChallengePierre DogninIgor Melnyket al.2022JAIR
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence DesignDevleena DasInkit Padhiet al.2021NeurIPS 2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsPierre DogninInkit Padhiet al.2021EMNLP 2021
Tabular Transformers for Modeling Multivariate Time SeriesInkit PadhiYair Schiffet al.2021ICASSP 2021
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsPayel DasTom Sercuet al.2021Nature Biomedical Engineering
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular DynamicsPayel DasTom Sercuet al.2021arXiv
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for TextNishtha MadaanInkit Padhiet al.2021AAAI 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative ModelsVijil ChenthamarakshanPayel Daset al.2020NeurIPS 2020
An AI foundation model that learns the grammar of molecules NewsPayel Das, Youssef Mroueh, Inkit Padhi, Vijil Chenthamarakshan, Jerret Ross, and Brian Belgodere25 Jan 2023Accelerated DiscoveryAIFoundation ModelsLife SciencesMaterials Discovery
IBM researchers check AI bias with counterfactual textResearchInkit Padhi, Nishtha Madaan, Naveen Panwar, and Diptikalyan Saha05 Feb 20215 minute readAI TestingFairness, Accountability, Transparency