Zobrazeno 1 - 10
of 45 379
pro vyhledávání: '"A. Willard"'
The prediction of streamflows and other environmental variables in unmonitored basins is a grand challenge in hydrology. Recent machine learning (ML) models can harness vast datasets for accurate predictions at large spatial scales. However, there ar
Externí odkaz:
http://arxiv.org/abs/2410.19865
We derive an expression for the equilibrium probability distribution of a quantum state in contact with a noisy thermal environment that formally separates contributions from quantum and classical forms of probabilistic uncertainty. A statistical mec
Externí odkaz:
http://arxiv.org/abs/2410.05742
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Autor:
Mahesh, Ankur, Collins, William, Bonev, Boris, Brenowitz, Noah, Cohen, Yair, Elms, Joshua, Harrington, Peter, Kashinath, Karthik, Kurth, Thorsten, North, Joshua, OBrien, Travis, Pritchard, Michael, Pruitt, David, Risser, Mark, Subramanian, Shashank, Willard, Jared
Studying low-likelihood high-impact extreme weather events in a warming world is a significant and challenging task for current ensemble forecasting systems. While these systems presently use up to 100 members, larger ensembles could enrich the sampl
Externí odkaz:
http://arxiv.org/abs/2408.03100
Autor:
Mahesh, Ankur, Collins, William, Bonev, Boris, Brenowitz, Noah, Cohen, Yair, Harrington, Peter, Kashinath, Karthik, Kurth, Thorsten, North, Joshua, OBrien, Travis, Pritchard, Michael, Pruitt, David, Risser, Mark, Subramanian, Shashank, Willard, Jared
In Part I, we created an ensemble based on Spherical Fourier Neural Operators. As initial condition perturbations, we used bred vectors, and as model perturbations, we used multiple checkpoints trained independently from scratch. Based on diagnostics
Externí odkaz:
http://arxiv.org/abs/2408.01581
Publikováno v:
IGARSS2024, Jul 2024, ATHENE, Greece
The modern road network topology comprises intricately designed structures that introduce complexity when automatically reconstructing road networks. While open resources like OpenStreetMap (OSM) offer road networks with well-defined topology, they m
Externí odkaz:
http://arxiv.org/abs/2406.14941
Autor:
Willard, Frank, Moffett, Luke, Mokel, Emmanuel, Donnelly, Jon, Guo, Stark, Yang, Julia, Kim, Giyoung, Barnett, Alina Jade, Rudin, Cynthia
Prototypical-part models are a popular interpretable alternative to black-box deep learning models for computer vision. However, they are difficult to train, with high sensitivity to hyperparameter tuning, inhibiting their application to new datasets
Externí odkaz:
http://arxiv.org/abs/2406.14675
The adsorption and desorption of reactants and products from a solid surface is essential for achieving sustained surface chemical reactions. At a liquid-solid interface, these processes can involve the collective reorganization of interfacial solven
Externí odkaz:
http://arxiv.org/abs/2405.18263
Autor:
Willard, Jared D., Harrington, Peter, Subramanian, Shashank, Mahesh, Ankur, O'Brien, Travis A., Collins, William D.
Publikováno v:
23rd Conference on Artificial Intelligence for Environmental Science. Jan 2024. Abstract #437874
The rapid rise of deep learning (DL) in numerical weather prediction (NWP) has led to a proliferation of models which forecast atmospheric variables with comparable or superior skill than traditional physics-based NWP. However, among these leading DL
Externí odkaz:
http://arxiv.org/abs/2404.19630
Early phase, personalized dose-finding trials for combination therapies seek to identify patient-specific optimal biological dose (OBD) combinations, which are defined as safe dose combinations which maximize therapeutic benefit for a specific covari
Externí odkaz:
http://arxiv.org/abs/2404.11323
Autor:
Tang, Dennis, Willard, Frank, Tegerdine, Ronan, Triplett, Luke, Donnelly, Jon, Moffett, Luke, Semenova, Lesia, Barnett, Alina Jade, Jing, Jin, Rudin, Cynthia, Westover, Brandon
In electroencephalogram (EEG) recordings, the presence of interictal epileptiform discharges (IEDs) serves as a critical biomarker for seizures or seizure-like events.Detecting IEDs can be difficult; even highly trained experts disagree on the same s
Externí odkaz:
http://arxiv.org/abs/2312.10056