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Marco Ancona
Marco Ancona
Morgen AG | Ex ETH Zurich
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Title
Cited by
Cited by
Year
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
M Ancona, E Ceolini, C Öztireli, M Gross
International Conference on Learning Representations (ICLR 2018), 2018
10772018
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
M Ancona, C Öztireli, M Gross
International Conference on Machine Learning (ICML 2019), 2019
2402019
Gradient-based attribution methods
M Ancona, E Ceolini, C Öztireli, M Gross
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 169-191, 2019
1512019
Minetime insight: Visualizing meeting habits to promote informed scheduling decisions
M Ancona, M Beyeler, M Gross, T Günther
IEEE transactions on visualization and computer graphics 27 (3), 1986-1999, 2019
92019
Shapley value as principled metric for structured network pruning
M Ancona, C Öztireli, M Gross
arXiv preprint arXiv:2006.01795, 2020
72020
Techniques for understanding how trained neural networks operate
AC Öztireli, M Gross, M Ancona
US Patent 11,568,212, 2023
32023
Attribution methods for interpreting and optimizing deep neural networks
M Ancona
ETH Zurich, 2020
12020
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