Estimation of parameters and eigenmodes of multivariate autoregressive models. - Arnold Neumaier; Tapio Schneider (ACM Trans. Math. Softw., 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)

Unscented Kalman Inversion. - Daniel Zhengyu Huang; Tapio Schneider; Andrew M. Stuart (CoRR, 2021)

Calibrate, emulate, sample. - Emmet Cleary; Alfredo Garbuno-Inigo; Shiwei Lan; Tapio Schneider; Andrew M. Stuart (J. Comput. Phys., 2021)

Iterated Kalman methodology for inverse problems. - Daniel Zhengyu Huang; Tapio Schneider; Andrew M. Stuart (J. Comput. Phys., 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)

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)

Accelerating large-eddy simulations of clouds with Tensor Processing Units. - Sheide Chammas; Qing Wang 032; Tapio Schneider; Matthias Ihme; Yi-Fan Chen; John R. Anderson (CoRR, 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 Scientific Discovery With AI-Aided Automation. - Tapio Schneider; Ilkay Altintas; Daniel Atkins (Comput. Sci. Eng., 2023)

Toward Routing River Water in Land Surface Models with Recurrent Neural Networks. - Mauricio Lima; Katherine Deck; Oliver R. A. Dunbar; 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)

A Physics-Constrained Neural Differential Equation Framework for Data-Driven Snowpack Simulation. - Andrew Charbonneau; Katherine Deck; Tapio Schneider (CoRR, 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)

Learning about structural errors in models of complex dynamical systems. - Jinlong Wu; Matthew E. Levine; Tapio Schneider; Andrew M. Stuart (J. Comput. Phys., 2024)