V3GAN: Decomposing Background, Foreground and Motion for Video Generation. - Arti Keshari; Sonam Gupta 001; Sukhendu Das (BMVC, 2021)

G3AN++: exploring wide GANs with complementary feature learning for video generation. - Sonam Gupta 001; Arti Keshari; Sukhendu Das (ICVGIP, 2021)

Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences. - Sonam Gupta 001; Sukhendu Das (PReMI, 2021)

RV-GAN: Recurrent GAN for Unconditional Video Generation. - Sonam Gupta 001; Arti Keshari; Sukhendu Das (CVPR Workshops, 2022)

Controllable Image Synthesis via Feature Mask Coupling using Implicit Neural Representation✱. - Sonam Gupta 001; Arti Keshari; Sukhendu Das (ICVGIP, 2022)

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models. - Sonam Gupta 001; Yatin Nandwani; Asaf Yehudai; Mayank Mishra; Gaurav Pandey 001; Dinesh Raghu; Sachindra Joshi (CoRR, 2024)

PNeRV: A Polynomial Neural Representation for Videos. - Sonam Gupta 001; Snehal Singh Tomar; Grigorios Chrysos 002; Sukhendu Das; Ambasamudram Narayanan Rajagopalan (Trans. Mach. Learn. Res., 2024)

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. - Kushagra Bhushan; Yatin Nandwani; Dinesh Khandelwal; Sonam Gupta 001; Gaurav Pandey 001; Dinesh Raghu; Sachindra Joshi (NAACL (Findings), 2025)

Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models. - Sonam Gupta 001; Yatin Nandwani; Asaf Yehudai; Dinesh Khandelwal; Dinesh Raghu; Sachindra Joshi (NAACL (Findings), 2025)