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2203.08021
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Interpretable machine learning in Physics
Nature Reviews Physics (Nat. Rev. Phys.), 2022
11 March 2022
C. Grojean
A. Paul
Zhuoni Qian
Inga Strümke
AI4CE
FAtt
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Papers citing
"Interpretable machine learning in Physics"
8 / 8 papers shown
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
Ayush Khot
Xiwei Wang
Avik Roy
Volodymyr V. Kindratenko
Mark S. Neubauer
EDL
315
7
0
10 Jan 2025
Interpretable Meta-Learning of Physical Systems
International Conference on Learning Representations (ICLR), 2023
Matthieu Blanke
Marc Lelarge
AI4CE
361
10
0
01 Dec 2023
Renormalizing Diffusion Models
Jordan S. Cotler
Semon Rezchikov
DiffM
AI4CE
294
15
0
23 Aug 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
S. Bishnoi
Ravinder Bhattoo
J. Jayadeva
Jignesh M. Patel
N. M. A. Krishnan
PINN
AI4CE
254
3
0
11 Jul 2023
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
Ayush Khot
Mark S. Neubauer
Avik Roy
AAML
548
22
0
09 Oct 2022
Explainable AI for High Energy Physics
Mark S. Neubauer
Avik Roy
188
12
0
14 Jun 2022
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
Daniel Alvestad
N. Fomin
Jörn Kersten
S. Maeland
Inga Strümke
257
12
0
06 Aug 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.6K
20,867
0
16 Feb 2016
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