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2020 – today
- 2021
[j1]Marco Ancona
, Marilou Beyeler, Markus Gross, Tobias Günther:
MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions. IEEE Trans. Vis. Comput. Graph. 27(3): 1986-1999 (2021)- 2020
- [b1]Marco Ancona:
Attribution Methods for Interpreting and Optimizing Deep Neural Networks. ETH Zurich, Zürich, Switzerland, 2020 - [i3]Marco Ancona, Cengiz Öztireli, Markus Gross:
Shapley Value as Principled Metric for Structured Network Pruning. CoRR abs/2006.01795 (2020)
2010 – 2019
- 2019
- [c2]Marco Ancona, Cengiz Öztireli, Markus H. Gross:
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation. ICML 2019: 272-281 - [p1]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross:
Gradient-Based Attribution Methods. Explainable AI 2019: 169-191 - [i2]Marco Ancona, Cengiz Öztireli, Markus H. Gross:
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation. CoRR abs/1903.10992 (2019) - 2018
- [c1]Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross:
Towards better understanding of gradient-based attribution methods for Deep Neural Networks. ICLR (Poster) 2018 - 2017
- [i1]Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross:
A unified view of gradient-based attribution methods for Deep Neural Networks. CoRR abs/1711.06104 (2017)
Coauthor Index
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