Matthias Bethge
According to our database1,
Matthias Bethge
authored at least 139 papers
between 1999 and 2024.
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Bibliography
2024
CoRR, 2024
Investigating Continual Pretraining in Large Language Models: Insights and Implications.
CoRR, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol., March, 2023
PLoS Comput. Biol., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
2021
J. Mach. Learn. Res., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.
Proceedings of the 9th International Conference on Learning Representations, 2021
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX.
J. Open Source Softw., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR, 2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise.
CoRR, 2020
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Deep convolutional models improve predictions of macaque V1 responses to natural images.
PLoS Comput. Biol., 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
PLoS Comput. Biol., 2017
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models.
CoRR, 2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker.
CoRR, 2017
Comment on "Biologically inspired protection of deep networks from adversarial attacks".
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Comput. Stat. Data Anal., 2016
CoRR, 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
CoRR, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
PLoS Comput. Biol., 2014
2013
PLoS Comput. Biol., 2013
PLoS Comput. Biol., 2013
PLoS Comput. Biol., 2013
Neural Comput., 2013
2012
PLoS Comput. Biol., 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data.
Frontiers Comput. Neurosci., 2011
2010
Frontiers Comput. Neurosci., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
PLoS Comput. Biol., 2009
Neural Comput., 2009
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2003
Codes and Goals of Neuronal Representations (Kodierung und Ziele neuronaler Repraesentationen)
PhD thesis, 2003
2002
Neural Comput., 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
Neurocomputing, 2001
Neurocomputing, 2001
1999