J. Nathan Kutz

Full Professor, University of Washington

Joined

February 2018

Names

J. Nathan Kutz

Emails

****@uw.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

University of Washington (u.washington.edu)

1998 – Present

Advisors, Relations & Conflicts

PhD Advisor

William Kath

1990 – 1994

Expertise

machine learning

2007 – Present

applied mathematics

1990 – Present

Publications

SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework
Xingyue Zhang, Yuxuan Bao, Mars Liyao Gao, J. Nathan Kutz
- ICLR 2026 Workshop FM4Science Poster
- Readers: Everyone
Arousal as a universal embedding for spatiotemporal brain dynamics
Ryan V. Raut, Zhanqi Zhang, Bingni W Brunton, J. Nathan Kutz
- Nature
- Readers: Everyone
Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems
Dima Tretiak, Anastasia Bizyaeva, J. Nathan Kutz, Steven Brunton
- Proceedings of the 7th Annual Learning for Dynamics & Control Conference
- Readers: Everyone
Real-time optimal control with shallow recurrent decoder networks
Matteo Tomasetto, Andrea Manzoni, J. Nathan Kutz
- DiffSys 2025
- Readers: Everyone
Learning the Koopman Operator using Attention Free Transformers
Mohammed Nagdi, Evangelos-Marios Nikolados, Alexey Yermakov, Mars Liyao Gao, J. Nathan Kutz, Filippo Menolascina
- Submitted to ICLR 2026
- Readers: Everyone
When Bigger isn't Better: The Role of Model-Data Complexity in Time Series Forecasts
Nga Yu Lo, Joseph Bakarji, Yue Zhao, J. Nathan Kutz
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
The Seismic Wavefield Common Task Framework
Alexey Yermakov, Yue Zhao, Marine Denolle, Yiyu Ni, Philippe Martin Wyder, Judah Goldfeder, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, J. Nathan Kutz
- ICLR 2026 Poster
- Readers: Everyone
Shallow Recurrent Decoders for Neural and Behavioral Dynamics
Amy Sara Rude, J. Nathan Kutz
- DBM 2025 Findings Poster
- Readers: Everyone
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
Ziyu Lu, Anna J. Li, Alexander Ladd, Pascha Matveev, Aditya Deole, Eric Todd SheaBrown, J. Nathan Kutz, Nicholas A. Steinmetz
- DBM 2025 Findings Poster
- Readers: Everyone
Exploring Human-AI Conceptual Alignment through the Prism of Chess
Semyon Lomasov, Judah Goldfeder, Mehmet Hamza Erol, Matthew So, Yao Yan, Addison Howard, J. Nathan Kutz, Ravid Shwartz-Ziv
- NeurIPS Creative AI Track 2025
- Readers: Everyone

View all 21 publications

Co-Authors

View all 59 co-authors