Alexander Wikner

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 6

Top Topics

Regularization Term

Data Assimilation

Machine Learning

Top Venues

Neural Networks

Publications

Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks 170 (2024)
Dhruvit Patel, Alexander Wikner
Attention-Based Ensemble Pooling for Time Series Forecasting. CoRR (2023)
Alexander Wikner, Brian R. Hunt, Joseph Harvey, Michelle Girvan, Edward Ott
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization. CoRR (2022)
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components. CoRR (2021)
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. CoRR (2020)
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model. CoRR (2018)