Wieland Brendel
Orcid: 0000-0003-0982-552X
According to our database1,
Wieland Brendel
authored at least 64 papers
between 2011 and 2024.
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Bibliography
2024
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples.
Frontiers Comput. Neurosci., 2024
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts.
CoRR, 2024
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis.
Proceedings of the Causal Learning and Reasoning, 2024
2023
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol., March, 2023
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 International Conference on Machine Learning, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
J. Mach. Learn. Res., 2021
CoRR, 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
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.
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
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
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 Computer Vision - ECCV 2020, 2020
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
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
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
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models.
CoRR, 2017
Comment on "Biologically inspired protection of deep networks from adversarial attacks".
CoRR, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
CoRR, 2016
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011