J Nathan Kutz

18PUBLICATIONS
44CO-AUTHORS
Biological network analysisNeural networksRespiratory diseasesReinforcement learningStatistical mechanics, physical combinatorics and mathematical aspects of condensed matter
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Publications (18)

|Apr 17, 2026
Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks.

|Apr 09, 2026
T-SHRED: symbolic regression for regularization and model discovery with transformer shallow recurrent decoders.

Alexey Yermakov, David Zoro, L Mars Gao

|Jan 26, 2026
ECG-Based Prediction of Shock-Refractory Ventricular Fibrillation During Resuscitation Without Interrupting CPR.

Jason Coult, Julia A King, Heemun Kwok

|Nov 28, 2025
SINDy-RL for interpretable and efficient model-based reinforcement learning.

Nicholas Zolman, Christian Lagemann, Urban Fasel

|Nov 21, 2025
Reduced order modeling with shallow recurrent decoder networks.

Matteo Tomasetto, Jan P Williams, Francesco Braghin

|Sep 24, 2025
Arousal as a universal embedding for spatiotemporal brain dynamics.

Ryan V Raut, Zachary P Rosenthal, Xiaodan Wang

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Frequent Collaborators

6 joint publications

Steven L Brunton

3 joint publications

Bingni W Brunton

2 joint publications

Diya Sashidhar

2 joint publications

Jason Coult