Articles with public access mandates - Matthias BethgeLearn more
Not available anywhere: 1
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
Mandates: US National Institutes of Health
Available somewhere: 88
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ...
Nature neuroscience 21 (9), 1281-1289, 2018
Mandates: US Office of the Director of National Intelligence, German Research …
Shortcut learning in deep neural networks
R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ...
Nature Machine Intelligence 2 (11), 665-673, 2020
Mandates: US Office of the Director of National Intelligence, Natural Sciences and …
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
T Nath, A Mathis, AC Chen, A Patel, M Bethge, MW Mathis
Nature protocols 14 (7), 2152-2176, 2019
Mandates: German Research Foundation, National Research Foundation, South Africa …
The functional diversity of retinal ganglion cells in the mouse
T Baden, P Berens, K Franke, M Román Rosón, M Bethge, T Euler
Nature 529 (7586), 345-350, 2016
Mandates: US National Institutes of Health, German Research Foundation
Decorrelated neuronal firing in cortical microcircuits
AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias
science 327 (5965), 584-587, 2010
Mandates: US National Institutes of Health
Generalisation in humans and deep neural networks
R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann
Advances in neural information processing systems 31, 2018
Mandates: US Office of the Director of National Intelligence, German Research …
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
CR Cadwell, A Palasantza, X Jiang, P Berens, Q Deng, M Yilmaz, ...
Nature biotechnology 34 (2), 199-203, 2016
Mandates: US National Institutes of Health, German Research Foundation, Swedish …
Improving robustness against common corruptions by covariate shift adaptation
S Schneider, E Rusak, L Eck, O Bringmann, W Brendel, M Bethge
Advances in Neural Information Processing Systems 33, 2020
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Understanding low-and high-level contributions to fixation prediction
M Kummerer, TSA Wallis, LA Gatys, M Bethge
Proceedings of the IEEE international conference on computer vision, 4789-4798, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
State dependence of noise correlations in macaque primary visual cortex
AS Ecker, P Berens, RJ Cotton, M Subramaniyan, GH Denfield, ...
Neuron 82 (1), 235-248, 2014
Mandates: US National Institutes of Health, Howard Hughes Medical Institute
Deep convolutional models improve predictions of macaque V1 responses to natural images
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
PLoS computational biology 15 (4), e1006897, 2019
Mandates: US National Institutes of Health, US Office of the Director of National …
The effect of noise correlations in populations of diversely tuned neurons
A Ecker, P Berens, A Tolias, M Bethge
Nature Precedings, 1-1, 2011
Mandates: US National Institutes of Health
Inhibition decorrelates visual feature representations in the inner retina
K Franke, P Berens, T Schubert, M Bethge, T Euler, T Baden
Nature 542 (7642), 439-444, 2017
Mandates: US National Institutes of Health, Howard Hughes Medical Institute, German …
Generating spike trains with specified correlation coefficients
JH Macke, P Berens, AS Ecker, AS Tolias, M Bethge
Neural computation 21 (2), 397-423, 2009
Mandates: US National Institutes of Health
Foolbox native: Fast adversarial attacks to benchmark the robustness of machine learning models in pytorch, tensorflow, and jax
J Rauber, R Zimmermann, M Bethge, W Brendel
Journal of Open Source Software 5 (53), 2607, 2020
Mandates: US Office of the Director of National Intelligence, Federal Ministry of …
Generative image modeling using spatial lstms
L Theis, M Bethge
Advances in neural information processing systems 28, 2015
Mandates: German Research Foundation
Benchmarking spike rate inference in population calcium imaging
L Theis, P Berens, E Froudarakis, J Reimer, MR Rosón, T Baden, T Euler, ...
Neuron 90 (3), 471-482, 2016
Mandates: US National Institutes of Health, German Research Foundation
Partial success in closing the gap between human and machine vision
R Geirhos, K Narayanappa, B Mitzkus, T Thieringer, M Bethge, ...
Advances in Neural Information Processing Systems 34, 23885-23899, 2021
Mandates: US Office of the Director of National Intelligence, German Research …
Contrastive learning inverts the data generating process
RS Zimmermann, Y Sharma, S Schneider, M Bethge, W Brendel
International Conference on Machine Learning, 12979-12990, 2021
Mandates: US Office of the Director of National Intelligence, German Research …
Publication and funding information is determined automatically by a computer program