Max Losch
Max Losch
Verified email at mpi-inf.mpg.de
Title
Cited by
Cited by
Year
Visual pathways from the perspective of cost functions and multi-task deep neural networks
HS Scholte, MM Losch, K Ramakrishnan, EHF de Haan, SM Bohte
cortex 98, 249-261, 2018
162018
Interpretability beyond classification output: Semantic bottleneck networks
M Losch, M Fritz, B Schiele
arXiv preprint arXiv:1907.10882, 2019
122019
Detection and segmentation of brain metastases with deep convolutional networks
M Losch
72015
Analyzing the Dependency of ConvNets on Spatial Information
Y Fan, Y Xian, MM Losch, B Schiele
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
12021
Berlin United-FUmanoids Team Description Paper 2012
D Seifert, S Otte, J Kulick, N Schmude, L Dohrmann, S Heinrich, ...
January, 2015
12015
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
MM Losch, M Fritz, B Schiele
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
2021
Spatial Information is Overrated for Image Classification
Y Fan, Y Xian, MM Losch, B Schiele
2019
Artificial Intelligence and Multi Agent Systems Project Report: Search and Pursuit
D Wynen, M Losch
2014
Semantic Bottleneck Layers: Quantifying and Improving Inspectability of Deep Representations
M Losch, M Fritz, B Schiele
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Articles 1–9