Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Picture for J. Nathan Kutz

J. Nathan Kutz

Department of Applied Mathematics, University of Washington

Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery


Jan 30, 2023
L. Mars Gao, Urban Fasel, Steven L. Brunton, J. Nathan Kutz

Add code

* 32 pages, 7 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments


Jan 27, 2023
Erdi Kara, George Zhang, Joseph J. Williams, Gonzalo Ferrandez-Quinto, Leviticus J. Rhoden, Maximilian Kim, J. Nathan Kutz, Aminur Rahman

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants


Nov 19, 2022
L. Mars Gao, J. Nathan Kutz

Add code

* 28 pages, 11 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC


Sep 26, 2022
Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How

Add code

* Submitted to ICRA 2023. Andrea Tagliabue and Yi-Hsuan Hsiao equally contributed. Video: https://youtu.be/Seupy1bSkY4 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data


Sep 18, 2022
Alex Mallen, Christoph A. Keller, J. Nathan Kutz

Add code

* 10 pages, 8 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control


May 12, 2022
Kadierdan Kaheman, Urban Fasel, Jason J. Bramburger, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton

Add code

* 72 pages, 39 figures, 9 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data


Apr 08, 2022
Shaowu Pan, Steven L. Brunton, J. Nathan Kutz

Add code

* 56 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects


Mar 10, 2022
Megan R. Ebers, Katherine M. Steele, J. Nathan Kutz

Add code

* 24 pages, 12 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dimensionally Consistent Learning with Buckingham Pi


Feb 09, 2022
Joseph Bakarji, Jared Callaham, Steven L. Brunton, J. Nathan Kutz

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
>>