J Nathan Kutz (J N Kutz)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Saccharomyces Cerevisiae

Muscular Dystrophy

Top Venues

bioRxiv : the preprint server for biology

Proceedings. Mathematical, physical, and engineering sciences

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Royal Society open science

This page only lists publications with an associated author ORCID identifier.

Publications

Jiazhong Mei, Steven L Brunton, J Nathan Kutz
Mobile Sensor Path Planning for Kalman Filter Spatiotemporal Estimation. Sensors (Basel, Switzerland) 24 (12) (2024)
Jiazhong Mei, Steven L Brunton, J Nathan Kutz
Mobile Sensor Path Planning for Kalman Filter Spatiotemporal Estimation. Sensors (Basel, Switzerland) 24 (12) (2024)
Michael J Xie, Amy Sirr, Russell S Lo, Gareth A Cromie, Michelle Tang, Julee Ashmead, Katherine Owens, J Nathan Kutz, Richard N McLaughlin, Aimeé M Dudley
Predicting the functional effect of compound heterozygous genotypes from large scale variant effect maps. bioRxiv : the preprint server for biology (2023)
Michael J Xie, Gareth A Cromie, Katherine Owens, Martin S Timour, Michelle Tang, J Nathan Kutz, Ayman W. El-Hattab, Richard N McLaughlin, Aimeé M Dudley
Constructing and interpreting a large-scale variant effect map for an ultrarare disease gene: Comprehensive prediction of the functional impact of PSAT1 genotypes. PLoS genetics 19 (10) (2023)
John Ferré, Ariel Rokem, Elizabeth A Buffalo, J Nathan Kutz, Adrienne L Fairhall
Non-Stationary Dynamic Mode Decomposition. bioRxiv : the preprint server for biology (2023)
Michael J Xie, Gareth A Cromie, Katherine Owens, Martin S Timour, Michelle Tang, J Nathan Kutz, Ayman W El-Hattab, Richard N McLaughlin, Aimeé M Dudley
Predicting the functional effect of compound heterozygous genotypes from large scale variant effect maps. bioRxiv : the preprint server for biology (2023)
John Ferré, Ariel Rokem, Elizabeth A Buffalo, J Nathan Kutz, Adrienne L Fairhall
Non-Stationary Dynamic Mode Decomposition. IEEE access : practical innovations, open solutions 11 (2023)
U Fasel, J Nathan Kutz, Bingni W Brunton, Steven L Brunton
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. Proceedings. Mathematical, physical, and engineering sciences 478 (2260) (2022)
Olivia Zahn, Jorge Bustamante, Callin M Switzer, Thomas L Daniel, J Nathan Kutz
Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight. PLoS computational biology 18 (9) (2022)
Yuying Liu, J Nathan Kutz, Steven L Brunton
Hierarchical deep learning of multiscale differential equation time-steppers. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 380 (2229) (2022)
Seth M Hirsh, David A Barajas-Solano, J Nathan Kutz
Sparsifying priors for Bayesian uncertainty quantification in model discovery. Royal Society open science 9 (2) (2022)
Diya Sashidhar, J Nathan Kutz
Bagging, optimized dynamic mode decomposition for robust, stable forecasting with spatial and temporal uncertainty quantification. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 380 (2229) (2022)
Diya Sashidhar, Heemun Kwok, Jason Coult, Jennifer Blackwood, Peter J Kudenchuk, Shiv Bhandari, Thomas D Rea, J Nathan Kutz
Machine learning and feature engineering for predicting pulse presence during chest compressions. Royal Society open science 8 (11) (2021)
Seth M Hirsh, Sara M Ichinaga, Steven L Brunton, J Nathan Kutz, Bingni W Brunton
Structured time-delay models for dynamical systems with connections to Frenet-Serret frame. Proceedings. Mathematical, physical, and engineering sciences 477 (2254) (2021)