| The swarmathon: An autonomous swarm robotics competition SM Ackerman, GM Fricke, JP Hecker, KM Hamed, SR Fowler, AD Griego, ... arXiv preprint arXiv:1805.08320, 2018 | 13 | 2018 |
| Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change JJ Nichol, MG Peterson, KJ Peterson, GM Fricke, ME Moses Journal of Computational and Applied Mathematics 395 (C), 113451, 2021 | 12 | 2021 |
| Arctic Tipping Points Triggering Global Change (LDRD Final Report) KJ Peterson, AJ Powell, IK Tezaur, EL Roesler, J Nichol, MG Peterson, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020 | 5 | 2020 |
| Learning Why: Data-Driven Causal Evaluations of Climate Models JJ Nichol, MG Peterson, GM Fricke, KJ Peterson ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 2 | 2021 |
| Benchmarking the PCMCI Causal Discovery Algorithm for Spatiotemporal Systems JJ Nichol, R Weylandt, M Smith, L Swiler https://doi.org/10.2172/1991387, 2023 | | 2023 |
| Feature Pathway Detection using Random Forest Regressor Feature Importances MG Peterson, JJ Nichol, I Tezaur AGU Fall Meeting Abstracts 2022, H22P-1036, 2022 | | 2022 |
| Global Multivariate Causal Discovery For the Analysis of Emergent Properties in Earth System Models. J Nichol Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Causal Evaluations for Identifying Differences between Observations and Earth System Models J Nichol, M Peterson, K Peterson https://doi.org/10.2172/1820528, 2021 | | 2021 |
| Causal Inference and Causal Discovery. J Nichol Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Water Cycle-Driven Infectious Diseases as Multiscale, Reliable, Continuously Updating Water Cycle Sensors A Powell, E Acquesta, W Davis, J Nichol, I Tezaur, K Peterson, S Rempe, ... https://doi.org/10.2172/1769797, 2021 | | 2021 |
| Advancing Sea Ice Predictability in E3SM with Machine Learning K Peterson, W Davis, M Peterson, J Nichol, K Chowdhary, M D'Elia https://doi.org/10.2172/1769655, 2021 | | 2021 |
| Machine Learning to Compare Arctic Simulations With Observed Data. J Nichol, MG Peterson, KJ Peterson, DJ Stracuzzi, M Fricke Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Comparing Simulated and Observed Data with Random Forest Feature Importance. J Nichol, MG Peterson, KJ Peterson, DJ Stracuzzi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Using Machine Learning to Compare Simulated and Observational Sea Ice Extent Data JJ Nichol, MG Peterson, KJ Peterson, D Stracuzzi AGU Fall Meeting Abstracts 2019, C23D-1599, 2019 | | 2019 |
| FEATURE COMPARISON OF ARCTIC OBSERVATIONS AND CLIMATE MODELS. J Nichol, MG Peterson, KJ Peterson, DJ Stracuzzi, M Fricke, M Moses Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
Matt G PetersonComputer Scientist, Sandia National LabsVerified email at sandia.gov
