Impact of data-splits on generalization: Identifying COVID-19 from cough and context. - Makkunda Sharma; Nikhil Shenoy; Jigar Doshi; Piyush Bagad; Aman Dalmia; Parag Bhamare; Amrita Mahale; Saurabh Rane; Neeraj Agrawal; Rahul Panicker (CoRR, 2021)

A Case for Rejection in Low Resource ML Deployment. - Jerome White; Pulkit Madaan; Nikhil Shenoy; Apoorv Agnihotri; Makkunda Sharma; Jigar Doshi (CoRR, 2022)

A 3D Camera-Based Approach to High-Density ECG Imaging. - Nikhil Shenoy; Maryam Toloubidokhti; Linwei Wang; Vivek Singh; Ankur Kapoor (CinC, 2023)

Role of Structural and Conformational Diversity for Machine Learning Potentials. - Nikhil Shenoy; Prudencio Tossou; Emmanuel Noutahi; Hadrien Mary; Dominique Beaini; Jiarui Ding (CoRR, 2023)

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation. - Majdi Hassan; Nikhil Shenoy; Jungyoon Lee; Hannes Stärk; Stephan Thaler; Dominique Beaini (NeurIPS, 2024)

OpenQDC: Open Quantum Data Commons. - Cristian Gabellini; Nikhil Shenoy; Stephan Thaler; Semih Cantürk; Daniel McNeela; Dominique Beaini; Michael M. Bronstein; Prudencio Tossou (CoRR, 2024)

Implicit Delta Learning of High Fidelity Neural Network Potentials. - Stephan Thaler; Cristian Gabellini; Nikhil Shenoy; Prudencio Tossou (CoRR, 2024)

A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration. - Nikhil Shenoy; Maryam Toloubidokhti; Omar Gharbia; MirMilad P. Khoshknab; Saman Nazarian; John L. Sapp; Vivek Singh; Ankur Kapoor; Linwei Wang (IEEE J. Biomed. Health Informatics, 2025)