Alexander Wikner

According to our database, Alexander Wikner authored at least 5 papers between 2018 and 2023.

Collaborative distances:

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

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