Trask, Nathaniel

5 publications

ICLR 2025 Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

NeurIPSW 2024 Can We Pre-Train ICL-Based SFMs for the Zero-Shot Inference of the 1d CDR Problem with Noisy Data? Mingu Kang, Dongseok Lee, Woojin Cho, Kookjin Lee, Anthony Gruber, Nathaniel Trask, Youngjoon Hong, Noseong Park

NeurIPS 2024 Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

NeurIPS 2023 Reversible and Irreversible Bracket-Based Dynamics for Deep Graph Neural Networks Anthony Gruber, Kookjin Lee, Nathaniel Trask

NeurIPS 2021 Machine Learning Structure Preserving Brackets for Forecasting Irreversible Processes Kookjin Lee, Nathaniel Trask, Panos Stinis