Poster
in
Workshop: ML Interpretability for Scientific Discovery
[Session 2] P#17 In-Distribution Interpretability for Challenging Modalities
Abstract:
In-Distribution Interpretability for Challenging Modalities
Cosmas Heiss (TU Berlin)*; Ron Levie (TU Berlin); Cinjon Resnick (NYU); Gitta Kutyniok (Technische Universität Berlin); Joan Bruna (Courant Institute of Mathematical Sciences, NYU, USA)
Paper: https://arxiv.org/abs/2007.00758
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