E-LIB Suche - Ergebnisse für: Kutz, J. Nathan

1

Deep Probabilistic Koopman: Long-term time-series forecasti..:

Mallen, Alex T. ; Lange, Henning ; Kutz, J. Nathan
International Journal of Forecasting. 40 (2024) 3 - p. 859-868 , 2024

Link: https://doi.org/10.1016/..

2

Discrepancy Modeling Framework: Learning Missing Physics, M..:

Ebers, Megan R. ; Steele, Katherine M. ; Kutz, J. Nathan
SIAM Journal on Applied Dynamical Systems. 23 (2024) 1 - p. 440-469 , 2024

Link: https://doi.org/10.1137/..

3

Bayesian autoencoders for data-driven discovery of coordina..:

Mars Gao, L. ; Nathan Kutz, J.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 480 (2024) 2286 - p. , 2024

Link: https://doi.org/10.1098/..

4

Mobile Sensor Path Planning for Kalman Filter Spatiotempora..:

Mei, Jiazhong ; Brunton, Steven L. ; Kutz, J. Nathan
Sensors. 24 (2024) 12 - p. 3727 , 2024

Link: https://doi.org/10.3390/..

5

Solving Nonlinear Ordinary Differential Equations Using the..:

Morrison, Megan ; Kutz, J. Nathan
SIAM Journal on Applied Dynamical Systems. 23 (2024) 1 - p. 924-960 , 2024

Link: https://doi.org/10.1137/..

6

AI Institute in Dynamic Systems: Developing machine learnin..:

Kutz, J. Nathan ; Brunton, Steven L. ; Manohar, Krithika..
AI Magazine. 45 (2024) 1 - p. 48-53 , 2024

Link: https://doi.org/10.1002/..

7

Ensemble Principal Component Analysis:

Dorabiala, Olga ; Aravkin, Aleksandr Y. ; Kutz, J. Nathan
IEEE Access. 12 (2024) - p. 6663-6671 , 2024

Link: https://doi.org/10.1109/..

8

PyKoopman: A Python Package for Data-DrivenApproximation of..:

Pan, Shaowu ; Kaiser, Eurika ; de Silva, Brian M...
Journal of Open Source Software. 9 (2024) 94 - p. 5881 , 2024

Link: https://doi.org/10.21105..

9

Koopman-inspired approach for identification of exogenous a..:

Mallen, Alex ; Keller, Christoph A ; Kutz, J Nathan
Machine Learning: Science and Technology. 4 (2023) 2 - p. 025033 , 2023

Link: https://doi.org/10.1088/..

10

Machine learning for parameter estimation:

Kutz, J. Nathan
Proceedings of the National Academy of Sciences. 120 (2023) 12 - p. , 2023

Link: https://doi.org/10.1073/..

11

Saddle transport and chaos in the double pendulum:

Kaheman, Kadierdan ; Bramburger, Jason J. ; Kutz, J. Nathan.
Nonlinear Dynamics. 111 (2023) 8 - p. 7199-7233 , 2023

Link: https://doi.org/10.1007/..

12

The Adaptive Spectral Koopman Method for Dynamical Systems:

Li, Bian ; Ma, Yian ; Kutz, J. Nathan.
SIAM Journal on Applied Dynamical Systems. 22 (2023) 3 - p. 1523-1551 , 2023

Link: https://doi.org/10.1137/..

13

Data‐Driven Placement of PM2.5 Air Quality Sensors in the U..:

Kelp, Makoto M. ; Fargiano, Timothy C. ; Lin, Samuel...
GeoHealth. 7 (2023) 9 - p. , 2023

Link: https://doi.org/10.1029/..

14

A machine learning approach to quantify individual gait res..:

Ebers, Megan R. ; Rosenberg, Michael C. ; Kutz, J. Nathan.
Journal of Biomechanics. 157 (2023) - p. 111695 , 2023

Link: https://doi.org/10.1016/..

15

Observability-Based Energy Efficient Path Planning with Bac..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),

Mei, Jiazhong ; Kutz, J. Nathan ; Brunton, Steven L. - p. 4364-4371 , 2023

Link: https://doi.org/10.1109/..