Alexander Wikner

According to our database, Alexander Wikner authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Reframing Generative Models for Physical Systems using Stochastic Interpolants.

Anthony Y. Zhou, Alexander Wikner, Amaury Lancelin, Pedram Hassanzadeh, Amir Barati Farimani

CoRR, September, 2025

2024

Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.

Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott

Neural Networks, 2024

2023

Combining Physics-based Modeling, Machine Learning, and Data Assimilation for Forecasting Large, Complex, Spatiotemporally Chaotic Systems.

Alexander Wikner

PhD thesis, 2023

Attention-Based Ensemble Pooling for Time Series Forecasting.

Dhruvit Patel, Alexander Wikner

CoRR, 2023

2022

Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization.

Alexander Wikner, Brian R. Hunt, Joseph Harvey, Michelle Girvan, Edward Ott

CoRR, 2022

2021

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components.

Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott

CoRR, 2021

2020

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems.

Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott

CoRR, 2020

2018

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model.

Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott

CoRR, 2018