Detecting Anomalies using Generative Adversarial Networks on Images. - Rushikesh Zawar; Krupa Bhayani; Neelanjan Bhowmik; Kamlesh Tiwari; Dhiraj Sangwan (CoRR, 2022)

Jensen-Shannon Divergence in Safe Multi- Agent RL. - Rushikesh Zawar; Prabhdeep Singh Sethi; Roshan Roy (Tiny Papers @ ICLR, 2024)

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (NeurIPS, 2024)

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (CoRR, 2024)

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. - Rushikesh Zawar; Shaurya Dewan; Andrew F. Luo; Margaret M. Henderson; Michael J. Tarr; Leila Wehbe (CoRR, 2024)

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors. - Yehonathan Litman; Or Patashnik; Kangle Deng; Aviral Agrawal; Rushikesh Zawar; Fernando De la Torre; Shubham Tulsiani (CoRR, 2024)

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. - Andrew F. Luo; Jacob Yeung; Rushikesh Zawar; Shaurya Dewan; Margaret M. Henderson; Leila Wehbe; Michael J. Tarr (ICLR, 2025)

Tuned Compositional Feature Replays for Efficient Stream Learning. - Morgan B. Talbot; Rushikesh Zawar; Rohil Badkundri; Mengmi Zhang; Gabriel Kreiman (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Understanding Camera Motions in Any Video. - Zhiqiu Lin; Siyuan Cen; Daniel Jiang; Jay Karhade; Hewei Wang 001; Chancharik Mitra; Tiffany Ling; Yuhan Huang; Sifan Liu; Mingyu Chen; Rushikesh Zawar; Xue Bai; et al. (CoRR, 2025)