Marco Ancona
Title
Cited by
Cited by
Year
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
M Ancona, E Ceolini, C ÷ztireli, M Gross
International Conference on Learning Representations (ICLR 2018), 2018
2312018
A unified view of gradient-based attribution methods for deep neural networks
M Ancona, E Ceolini, C ÷ztireli, M Gross
NIPS 2017-Workshop on Interpreting, Explaining and Visualizing Deep Learning, 2017
226*2017
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
M Ancona, C ÷ztireli, M Gross
International Conference on Machine Learning (ICML 2019), 2019
232019
Gradient-based attribution methods
M Ancona, E Ceolini, C ÷ztireli, M Gross
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 169-191, 2019
42019
Shapley Value as Principled Metric for Structured Network Pruning
M Ancona, C ÷ztireli, M Gross
arXiv preprint arXiv:2006.01795, 2020
2020
MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions
M Ancona, M Beyeler, M Gross, T GŁnther
IEEE Transactions on Visualization and Computer Graphics, 2019
2019
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Articles 1–6