Dukler, Yonatan

8 publications

NeurIPS 2024 B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

CVPR 2024 THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto

CVPR 2023 Learning Expressive Prompting with Residuals for Vision Transformers Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan

ICCV 2023 SAFE: Machine Unlearning with Shard Graphs Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto

NeurIPS 2023 Your Representations Are in the Network: Composable and Parallel Adaptation for Large Scale Models Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

ICLR 2022 DIVA: Dataset Derivative of a Learning Task Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto

ICML 2020 Optimization Theory for ReLU Neural Networks Trained with Normalization Layers Yonatan Dukler, Quanquan Gu, Guido Montufar

ICML 2019 Wasserstein of Wasserstein Loss for Learning Generative Models Yonatan Dukler, Wuchen Li, Alex Lin, Guido Montufar