J. Nathan Kutz

University of Washington — United States

Physics and Astronomy · Physical Sciences

73h-index29.4kcitations607works3.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Fiber Laser Technologies(189), Model Reduction and Neural Networks(149), Laser-Matter Interactions and Applications(91), Nonlinear Photonic Systems(85), Photonic Crystal and Fiber Optics(65)

Publications607 total

Information theory and discriminative sampling for model discovery
arXiv (Cornell University)·2025Open Access
A Taxonomy of Numerical Differentiation Methods
arXiv (Cornell University)·2025Open Access
Data assimilation and discrepancy modeling with shallow recurrent decoders
arXiv (Cornell University)·2025Open Access
SINDy-RL for interpretable and efficient model-based reinforcement learning
Nature Communications·2025Open Access
Reduced order modeling with shallow recurrent decoder networks
Nature Communications·2025· 2 citedOpen Access
Accelerating scientific discovery with the common task framework
arXiv (Cornell University)·2025Open Access
Abstract Sun906: Deep Learning for Defibrillator Shock Decision Analysis during Manual CPR
Circulation·2025
Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast
2025Open Access
Towards a GPU-enabled billionare SVD in pyLOM
2025Open Access
Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
arXiv (Cornell University)·2025Open Access
Data-driven coarse-graining and reduced-order modeling of plume ejection dynamics from video observations
Physics of Fluids·2025Open Access
Arousal as a universal embedding for spatiotemporal brain dynamics
Nature·2025· 14 citedOpen Access
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
arXiv (Cornell University)·2025Open Access
CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics
arXiv (Cornell University)·2025Open Access
Robust state estimation from partial out-core measurements with Shallow Recurrent Decoder for nuclear reactors
Progress in Nuclear Energy·2025· 2 citedOpen Access
Learning the bistable cortical dynamics of the sleep-onset period
2025Open Access
Shallow Recurrent Decoders for Neural and Behavioral Dynamics
2025Open Access
Ecosystem-wide PFAS characterization and environmental behavior at a heavily contaminated desert oasis in the southwestern U.S.
Environmental Research·2025· 4 cited
Shallow recurrent decoder for reduced order modeling of <i>E</i> × <i>B</i> plasma dynamics
Machine Learning Science and Technology·2025Open Access
Towards remote sensing of sub-surface turbulence from surface-only measurements with the SHRED machine learning framework
2025Open Access
page 1 of 31Next →

Frequent Co-authors

Steven L. Brunton(30), Joshua L. Proctor(11), Bingni W. Brunton(8), Samuel Rudy(3), Jared C. Bronski(3), Lincoln D. Carr(3), Bernard Deconinck(3), Kathleen Champion(3), Jonathan H. Tu(3), Eurika Kaiser(2), Alessandro Alla(2), Urban Fasel(2), Kadierdan Kaheman(2), N. Benjamin Erichson(2), Travis Askham(2), Brian M. de Silva(2), Jean-Christophe Loiseau(2), Ido Bright(2), Peng Zheng(2), Aleksandr Y. Aravkin(2)