Physically Interpretable Probabilistic Domain Characterization
Authors:
- Anaïs HalinAHAnaïs Halin
- Sébastien PiérardSPSébastien Piérard
- Renaud VandeghenRVRenaud Vandeghen
- Benoît GérinBGBenoît Gérin
- Maxime ZanellaMZMaxime Zanella
- Martin ColotMCMartin Colot
- Jan HeldJHJan Held
- Anthony CioppaACAnthony Cioppa
- Emmanuel JeanEJEmmanuel Jean
- Gianluca BontempiGianluca Bontempi
- Benoît MacqBMBenoît Macq
- 29 March 2025
- book chapter
- Published by Springer Nature
- p. 17-35
Abstract
No abstract availableKeywords
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This publication has 37 references indexed in Scilit:
- Exploring viability of Test-Time Training: Application to 3D segmentation in Multiple Sclerosis2024
- Neural posterior estimation for exoplanetary atmospheric retrievalAstronomy & Astrophysics, 2023
- Assessing the operational design domain of lane support system for automated vehicles in different weather and road conditionsJournal of Traffic and Transportation Engineering (English Edition), 2022
- Multi-class weather classification based on multi-feature weighted fusion methodIOP Conference Series: Earth and Environmental Science, 2020
- The frontier of simulation-based inferenceProceedings of the National Academy of Sciences, 2020
- Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks2018
- A rewriting system for convex optimization problemsJournal of Control and Decision, 2017
- Deep Residual Learning for Image Recognition2016
- Computing and Graphing Highest Density RegionsThe American Statistician, 1996
- Grundbegriffe der Wahrscheinlichkeitsrechnung1933