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arXiv: v2 [cs.LG] 10 Jun 2021Columbia University
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Jan MacDonald, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok. A rate-distortion framework for explaining neural network decisions.
Sascha HauchPapers With Code
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A Rate-Distortion Framework for Explaining Neural Network Decisions · 2 code implementations • 27 May • Jan Macdonald, Stephan Wäldchen, Sascha Hauch, ...
A Rate-Distortion Framework for Explaining Neural Network Decisionsarxiv.org › cs
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· A Rate-Distortion Framework for Explaining Neural Network Decisions. Authors:Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok.
Explaining Image Classifiers With Multiscale Directional ...CVF Open Access
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von S Kolek · · Zitiert von: 1 — [29] Jan Macdonald, Stephan Wäldchen, Sascha Hauch, and Gitta. Kutyniok. A rate-distortion framework for explaining neural network decisions.
MULTIPLE-INSTANCE LEARNING AS A FRAMEWORK TO ...JScholarship
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von J Teneggi · — MacDonald, Jan, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok (2019). “A rate-distortion framework for explaining neural network decisions”. In:.
ReduNet: A White-box Deep Network from the Principle of ...Journal of Machine Learning Research
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von KHR Chan · · Zitiert von: 64 — Jan MacDonald, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok. A rate-distortion framework for explaining neural network decisions.
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— M-26 Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok, ”A Rate-Distortion. Framework for Explaining Neural Network Decisions”.
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Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok. PDF Cite Code. © Jan Macdonald. This work is licensed under CC BY NC A Rate-Distortion Framework for Explaining Neural Network Decisions. Poster. Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok ... › publicat... › talk › a-...
A Rigorous Study Of The Deep Taylor DecompositionOpenReview
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von L Sixt · · Zitiert von: 1 — Jan Macdonald, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok. A rate-distortion framework for explaining neural network decisions,
Assumed Density Filtering (ADF) Probabilistic Neural keras-adfkeras-adf.readthedocs.io › latest
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Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok, “A Rate-Distortion Framework for Explaining Neural Network Decisions”,
[PDF] A Rate-Distortion Framework for Explaining Neural Network...
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The widespread idea of interpreting neural network decisions as an explicit optimisation problem in a rate-distortion framework is formalised and a heuristic...
ReduNet: A White-box Deep Network from the NSF PARNational Science Foundation (.gov)
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von K Chan · · Zitiert von: 64 — Jan MacDonald, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok. A rate-distortion framework for explaining neural network decisions.
[PDF] MULTIPLE-INSTANCE LEARNING AS A FRAMEWORK TO ...jscholarship.library.jhu.edu › handle › TENEGGI-THESIS-2022
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MacDonald, Jan, Stephan Wäldchen, Sascha Hauch, and Gitta Kutyniok (2019). “A rate-distortion framework for explaining neural network decisions”. In:.
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Jan MACDONALD, Stephan WAELDCHEN, Sascha HAUCH, Gitta KUTYNIOK. Technische Universität Berlin, Germany. We propose a rate-distortion framework for ...
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