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