Marco Ancona - researchr alias

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Viewing Publication 1 - 5 from 5

2021

MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling DecisionsMarco Ancona, Marilou Beyeler, Markus H. Gross, Tobias Günther. tvcg, 27(3):1986-1999, 2021. [doi]

2020

Attribution Methods for Interpreting and Optimizing Deep Neural NetworksMarco Ancona. PhD thesis, ETH Zurich, Zürich, Switzerland, 2020. [doi]

2019

Gradient-Based Attribution MethodsMarco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross. In Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller, editors, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Volume 11700 of Lecture Notes in Computer Science, pages 169-191, Springer, 2019. [doi]

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value ApproximationMarco Ancona, Cengiz Öztireli, Markus H. Gross. icml 2019: 272-281 [doi]

2018

Towards better understanding of gradient-based attribution methods for Deep Neural NetworksMarco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross 0001. iclr 2018: [doi]

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