David Pitt

Research engineer, California Institute of Technology

Joined

October 2022

Names

David Pitt (Preferred)

Emails

****@g.hmc.edu (Confirmed)

,

****@gmail.com (Confirmed)

,

****@caltech.edu (Confirmed)

Personal Links

Career & Education History

Research engineer

California Institute of Technology (caltech.edu)

2023 – Present

Undergrad student

Harvey Mudd College (hmc.edu)

2019 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

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
- Accepted by TMLR
- Readers: Everyone
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Robert Joseph George, David Pitt, Jiawei Zhao, Jean Kossaifi, Cheng Luo, Yuandong Tian, Anima Anandkumar
- NeurIPS 2024 Workshop
- Readers: Everyone
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Robert Joseph George, David Pitt, Jiawei Zhao, Jean Kossaifi, Cheng Luo, Yuandong Tian, Anima Anandkumar
- Submitted to ICLR 2025
- Readers: Everyone
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
Ziqi Ma, David Pitt, Kamyar Azizzadenesheli, Anima Anandkumar
- Accepted by TMLR
- Readers: Everyone
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
- DLDE III Poster
- Readers: Everyone

Co-Authors