Yonatan Dukler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

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Preconditioned Conjugate Gradient

Top Venues

Publications

Prannay Kaul, Zhizhong Li, Hao Yang, Yonatan Dukler, Ashwin Swaminathan, C. J. Taylor, Stefano Soatto
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models. CoRR (2024)
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR (2024)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. ICCV (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR (2023)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. CoRR (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS (2023)
Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan
Learning Expressive Prompting With Residuals for Vision Transformers. CoRR (2023)
Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan
Learning Expressive Prompting With Residuals for Vision Transformers. CVPR (2023)
Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
DIVA: Dataset Derivative of a Learning Task. ICLR (2022)
Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
DIVA: Dataset Derivative of a Learning Task. CoRR (2021)
Yonatan Dukler, Quanquan Gu, Guido Montúfar
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers. ICML (2020)
Yonatan Dukler, Quanquan Gu, Guido Montúfar
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers. CoRR (2020)
Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar
Wasserstein of Wasserstein Loss for Learning Generative Models. ICML (2019)
Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar
Wasserstein Diffusion Tikhonov Regularization. CoRR (2019)