Cargando…
Focused Forecasts: Attention maps for large-scale model understanding in the AtmoRep project
<!--HTML-->The interpretability of machine learning models remains a critical yet elusive aspect of contemporary computational science. In this presentation, I specifically explore the interpretability of machine learning algorithms by applying self-attention maps to the AtmoRep large-scale we...
Autor principal: | Hidary, David |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2867767 |
Ejemplares similares
-
AtmoRep: Machine learning-based atmosphere dynamics
por: Garcia Recasens, Pol
Publicado: (2022) -
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
por: Lessig, Christian, et al.
Publicado: (2023) -
Quantum-Powered Time Series Forecasting in Finance: Replication, Reliability, and Architectural Exploration
por: Spiro, Andrew Charles
Publicado: (2023) -
Shelter tents mapping by machine learning and satellite imagery
por: Cheng, Hsiu-Chi
Publicado: (2023) -
Welcome
por: Marquina, Miguel
Publicado: (2023)