Marco Ancona

According to our database, Marco Ancona authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions.

Marco Ancona, Marilou Beyeler, Markus H. Gross, Tobias Günther

IEEE Trans. Vis. Comput. Graph., 2021

2020

Attribution Methods for Interpreting and Optimizing Deep Neural Networks.

Marco Ancona

PhD thesis, 2020

Shapley Value as Principled Metric for Structured Network Pruning.

Marco Ancona, Cengiz Öztireli, Markus H. Gross

CoRR, 2020

2019

Gradient-Based Attribution Methods.

Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross

Proceedings of the Explainable AI: Interpreting, 2019

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation.

Marco Ancona, Cengiz Öztireli, Markus H. Gross

CoRR, 2019

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation.

Marco Ancona, Cengiz Öztireli, Markus H. Gross

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Towards better understanding of gradient-based attribution methods for Deep Neural Networks.

Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A unified view of gradient-based attribution methods for Deep Neural Networks.

Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross

CoRR, 2017