Nathaniel Trask

4 papers · 2021–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🏆 Keyword Champion (2)

Venues

NeurIPS (3) ICLR (1)

Top co-authors

Kookjin Lee (4) Noseong Park (2) Anthony Gruber (2) Yehjin Shin (1) Jeongwhan Choi (1) Haksoo Lim (1) Panos Stinis (1) Jayoung Kim (1) Hyowon Wi (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Mathematics & Optimization (2) Core Methods (2) Optimization (2) Techniques (2) Artificial Intelligence (1) Core AI (1) Learning Types (1) Mathematics (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

dynamical system (3) energy conservation (2) graph neural network (2) graph signal processing (1) physics-informed learning (1) graph convolution (1) hamiltonian dynamics (1) over-smoothing problem (1) graph filter (1) structure preservation (1) reversible network (1) hamiltonian mechanics (1) dissipative system (1) irreversible dynamics (1) bracket-based dynamics (1) error estimate (1) neural metriplectic system (1) transformer architecture (1) entropy stability (1) self-attention mechanism (1)

Papers

Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 Reversible and irreversible bracket-based dynamics for deep graph neural networks NeurIPS 2023 Machine learning structure preserving brackets for forecasting irreversible processes NeurIPS 2021