Challenges in Gaussian Processes for Non Intrusive Load Monitoring. - Aadesh Desai; Gautam Vashishtha; Zeel B. Patel; Nipun Batra 001 (CoRR, 2022)

Single Image LDR to HDR Conversion Using Conditional Diffusion. - Dwip Dalal; Gautam Vashishtha; Prajwal Singh; Shanmuganathan Raman (ICIP, 2023)

InferNet: Next Likely Action Prediction in Business Processes. - Srinivasan Kidambi; Gautam Vashishtha; R. P. Jagadeesh Chandra Bose (ICSOC Workshops (1), 2024)

Learning Robust Deep Visual Representations from EEG Brain Recordings. - Prajwal Singh; Dwip Dalal; Gautam Vashishtha; Krishna P. Miyapuram; Shanmuganathan Raman (WACV, 2024)

C3-NeRF: Modeling Multiple Scenes via Conditional-cum-Continual Neural Radiance Fields. - Prajwal Singh; Ashish Tiwari 005; Gautam Vashishtha; Shanmuganathan Raman (CoRR, 2024)

BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning. - Prajwal Singh; Gautam Vashishtha; Indra Deep Mastan; Shanmuganathan Raman (ICASSP, 2025)

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks. - Prakash Chandra Chhipa; Gautam Vashishtha; Settur Jithamanyu; Rajkumar Saini; Mubarak Shah; Marcus Liwicki (ICLR, 2025)