Numerical Analysis for Real-time Nonlinear Model Predictive Control of Ethanol Steam Reformers. - Robert Joseph George; Xinwei Yu (CoRR, 2022)

Incremental Fourier Neural Operator. - Jiawei Zhao; Robert Joseph George; Yifei Zhang; Zongyi Li; Anima Anandkumar (CoRR, 2022)

EDCDE - Extended Discovery of Closed-Form Differential Equations. - Robert Joseph George (Tiny Papers @ ICLR, 2023)

Hybrid Dealiased Convolutions. - Robert Joseph George; Noel Murasko; John C. Bowman (CoRR, 2023)

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. - Md. Ashiqur Rahman; Robert Joseph George; Mogab Elleithy; Daniel V. Leibovici; Zongyi Li; Boris Bonev; Colin White; Julius Berner; Raymond A. Yeh; Jean Kossaifi; Kamyar Azizzadenesheli; Animashree Anandkumar (NeurIPS, 2024)

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)

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs. - Robert Joseph George; Jiawei Zhao; Jean Kossaifi; Zongyi Li; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

LeanAgent: Lifelong Learning for Formal Theorem Proving. - Adarsh Kumarappan; Mo Tiwari; Peiyang Song 002; Robert Joseph George; Chaowei Xiao; Anima Anandkumar (ICLR, 2025)

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)

LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction. - Suozhi Huang; Peiyang Song 002; Robert Joseph George; Anima Anandkumar (CoRR, 2025)