Burger, Martin

5 publications

JMLR 2022 A Bregman Learning Framework for Sparse Neural Networks Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger

UAI 2021 Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier

NeurIPSW 2021 Learning Convex Regularizers Satisfying the Variational Source Condition for Inverse Problems Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger

NeurIPSW 2020 Learning Spectral Regularizations for Linear Inverse Problems Hartmut Bauermeister, Martin Burger, Michael Moeller

ECCV 2004 Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion Paolo Favaro, Martin Burger, Stefano Soatto