Artikel dengan mandat akses publik - Matthias BethgePelajari lebih lanjut
Tidak tersedia di mana pun: 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
Mandat: US National Institutes of Health
Tersedia di suatu tempat: 91
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
Mandat: 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
Mandat: 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
Mandat: 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
Mandat: US National Institutes of Health, German Research Foundation
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
Mandat: US Office of the Director of National Intelligence, German Research …
Decorrelated neuronal firing in cortical microcircuits
AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias
science 327 (5965), 584-587, 2010
Mandat: US National Institutes of Health
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
Mandat: 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
Mandat: German Research Foundation, Federal Ministry of Education and Research, Germany
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
Mandat: US National Institutes of Health, US Office of the Director of National …
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
Mandat: 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
Mandat: US National Institutes of Health, Howard Hughes Medical Institute
The effect of noise correlations in populations of diversely tuned neurons
A Ecker, P Berens, A Tolias, M Bethge
Nature Precedings, 1-1, 2011
Mandat: 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
Mandat: US National Institutes of Health, Howard Hughes Medical Institute, German …
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
Mandat: 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
Mandat: US Office of the Director of National Intelligence, German Research …
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
Mandat: 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
Mandat: 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
Mandat: US National Institutes of Health, German Research Foundation
Generating spike trains with specified correlation coefficients
JH Macke, P Berens, AS Ecker, AS Tolias, M Bethge
Neural computation 21 (2), 397-423, 2009
Mandat: US National Institutes of Health
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