J. Nathan Kutz

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

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

JMLR (4) L4DC (1)

Top co-authors

Steven L. Brunton (5) Sara M. Ichinaga (1) Marco Tezzele (1) Dima Tretiak (1) Gianluigi Rozza (1) Anastasia Bizyaeva (1) Nicola Demo (1) Shaowu Pan (1) Francesco Andreuzzi (1) Nicholas Zolman (1)

Research topics

Machine Learning (4) Deep Learning (3) Architectures (3) Data Science & Analytics (2) Core Methods (2) Methods (2) Optimization & Theory (2) Computer Science (1) Foundations (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

dynamical system (3) neural network (2) dimensionality reduction (2) time series prediction (1) fourier transform (1) low-rank representation (1) spectral decomposition (1) spectral method (1) recurrent neural network (1) lie group (1) boundary condition (1) spatiotemporal forecasting (1) long-term prediction (1) spatio-temporal data (1) multi-layer perceptron (1) dynamic mode decomposition (1) koopman theory (1) quasi-periodic signal (1) surrogate modeling (1) data-driven modeling (1)

Papers

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025 Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems L4DC 2025 PyDMD: A Python Package for Robust Dynamic Mode Decomposition JMLR 2024 Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021