Folgen
Marco Ancona
Marco Ancona
Morgen AG | Ex ETH Zurich
Keine bestätigte E-Mail-Adresse
Titel
Zitiert von
Zitiert von
Jahr
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
7452018
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
1542019
Gradient-based attribution methods
M Ancona, E Ceolini, C Öztireli, M Gross
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 169-191, 2019
852019
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
82019
Shapley value as principled metric for structured network pruning
M Ancona, C Öztireli, M Gross
arXiv preprint arXiv:2006.01795, 2020
52020
Techniques for understanding how trained neural networks operate
A Öztireli, M Gross, M Ancona
US Patent App. 16/533,301, 2021
12021
Attribution Methods for Interpreting and Optimizing Deep Neural Networks
M Ancona
ETH Zurich, 2020
2020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–7