Basu, Samyadeep

12 publications

NeurIPS 2025 Localizing Knowledge in Diffusion Transformers Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi

ICLR 2025 Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Chegini, Robert Brauneis, Soheil Feizi

NeurIPS 2024 Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

ICMLW 2024 Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

ICLR 2024 Localizing and Editing Knowledge in Text-to-Image Generative Models Samyadeep Basu, Nanxuan Zhao, Vlad I Morariu, Soheil Feizi, Varun Manjunatha

ICML 2024 On Mechanistic Knowledge Localization in Text-to-Image Generative Models Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi

NeurIPSW 2024 Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Chegini, Robert Brauneis, Soheil Feizi

AAAI 2024 Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi

NeurIPS 2024 Understanding Information Storage and Transfer in Multi-Modal Large Language Models Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti

ICLR 2023 Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks Samyadeep Basu, Megan Stanley, John F Bronskill, Soheil Feizi, Daniela Massiceti

ICLR 2021 Influence Functions in Deep Learning Are Fragile Samyadeep Basu, Phil Pope, Soheil Feizi

ICML 2020 On Second-Order Group Influence Functions for Black-Box Predictions Samyadeep Basu, Xuchen You, Soheil Feizi