Paying Attention to Video Generation. - Rishika Bhagwatkar; Khurshed Fitter; Saketh Bachu; Akshay R. Kulkarni; Shital S. Chiddarwar (Preregister@NeurIPS, 2020)

Contrastive Learning-Based Domain Adaptation for Semantic Segmentation. - Rishika Bhagwatkar; Saurabh Kemekar; Vinay Domatoti; Khursheed Munir Khan; Anamika Singh (NCC, 2022)

Lag-Llama: Towards Foundation Models for Time Series Forecasting. - Kashif Rasul; Arjun Ashok; Andrew Robert Williams; Arian Khorasani; George Adamopoulos; Rishika Bhagwatkar; Marin Bilos; Hena Ghonia; Nadhir Vincent Hassen; Anderson Schneider; Sahil Garg; Alexandre Drouin; et al. (CoRR, 2023)

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design. - Rishika Bhagwatkar; Shravan Nayak; Pouya Bashivan; Irina Rish (EMNLP (Findings), 2024)

Enhancing Context Through Contrast. - Kshitij Ambilduke; Aneesh Shetye; Diksha Bagade; Rishika Bhagwatkar; Khurshed Fitter; Prasad Vagdargi; Shital S. Chiddarwar (CoRR, 2024)

Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques. - Rishika Bhagwatkar; Shravan Nayak; Reza Bayat; Alexis Roger; Daniel Z. Kaplan; Pouya Bashivan; Irina Rish (CoRR, 2024)