Pitt, David

4 publications

TMLR 2025 Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin, Julius Berner, Valentin Duruisseaux, David Pitt, Daniel Leibovici, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar

TMLR 2024 Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction Ziqi Ma, David Pitt, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPSW 2024 Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition Robert Joseph George, David Pitt, Jiawei Zhao, Jean Kossaifi, Cheng Luo, Yuandong Tian, Anima Anandkumar

NeurIPSW 2023 Physics-Informed Neural Operators with Exact Differentiation on Arbitrary Geometries Colin White, Julius Berner, Jean Kossaifi, Mogab Elleithy, David Pitt, Daniel Leibovici, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar