Formalising stories: sequences of events and state changes. - Andrew Vassiliou; Andrew Salway; David Pitt (ICME, 2004)

A Library for Learning Neural Operators. - Jean Kossaifi; Nikola B. Kovachki; Zongyi Li; David Pitt; Miguel Liu-Schiaffini; Robert Joseph George; Boris Bonev; Kamyar Azizzadenesheli; Julius Berner; Anima Anandkumar (CoRR, 2024)

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction. - Ziqi Ma; David Pitt; Kamyar Azizzadenesheli; Anima Anandkumar (Trans. Mach. Learn. Res., 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 (CoRR, 2025)

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