Tapio Schneider

According to our database, Tapio Schneider authored at least 15 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning about structural errors in models of complex dynamical systems.

Jinlong Wu, Matthew E. Levine, Tapio Schneider, Andrew M. Stuart

J. Comput. Phys., 2024

Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models.

Zhong Yi Wan, Ignacio Lopez-Gomez, Rob Carver, Tapio Schneider, John R. Anderson, Fei Sha, Leonardo Zepeda-Núñez

CoRR, 2024

A Physics-Constrained Neural Differential Equation Framework for Data-Driven Snowpack Simulation.

Andrew Charbonneau, Katherine Deck, Tapio Schneider

CoRR, 2024

Dynamical-generative downscaling of climate model ensembles.

Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John R. Anderson, Fei Sha

CoRR, 2024

Toward Routing River Water in Land Surface Models with Recurrent Neural Networks.

Mauricio Lima, Katherine Deck, Oliver R. A. Dunbar, Tapio Schneider

CoRR, 2024

2023

Accelerating Scientific Discovery With AI-Aided Automation.

Tapio Schneider, Ilkay Altintas, Daniel Atkins

Comput. Sci. Eng., 2023

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces.

Miguel Liu-Schiaffini, Clare E. Singer, Nikola B. Kovachki, Tapio Schneider, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, 2023

Accelerating large-eddy simulations of clouds with Tensor Processing Units.

Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson

CoRR, 2023

2022

Epidemic management and control through risk-dependent individual contact interventions.

Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Inigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman

PLoS Comput. Biol., 2022

Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data.

Tapio Schneider, Andrew M. Stuart, Jinlong Wu

J. Comput. Phys., 2022

Iterated Kalman methodology for inverse problems.

Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart

J. Comput. Phys., 2022

2021

Calibrate, emulate, sample.

Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan, Tapio Schneider, Andrew M. Stuart

J. Comput. Phys., 2021

Unscented Kalman Inversion.

Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart

CoRR, 2021

2001

Algorithm 808: ARfit - a matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models.

Tapio Schneider, Arnold Neumaier

ACM Trans. Math. Softw., 2001

Estimation of parameters and eigenmodes of multivariate autoregressive models.

Arnold Neumaier, Tapio Schneider

ACM Trans. Math. Softw., 2001