Matthias Hein
Affiliations:- Max Planck Institute for Intelligent Systems, Tübingen, Germany
- Faculty of Mathematics and Computer Science, Saarland University
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
According to our database1,
Matthias Hein
authored at least 150 papers
between 2003 and 2024.
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Bibliography
2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion.
CoRR, 2024
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data.
CoRR, 2024
CoRR, 2024
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models.
CoRR, 2023
Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models.
CoRR, 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models.
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
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention.
CoRR, 2022
Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free.
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 Machine Learning for Medical Image Reconstruction, 2022
Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Adversarial Robustness against Multiple and Single l<sub>p</sub>-Threat Models via Quick Fine-Tuning of Robust Classifiers.
Proceedings of the International Conference on Machine Learning, 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Pattern Recognition, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms.
J. Sci. Comput., 2021
Adversarial robustness against multiple l<sub>p</sub>-threat models at the price of one and how to quickly fine-tune robust models to another threat model.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
Mind the Box: l<sub>1</sub>-APGD for Sparse Adversarial Attacks on Image Classifiers.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.
Int. J. Comput. Vis., 2020
Error Estimates for Spectral Convergence of the Graph Laplacian on Random Geometric Graphs Toward the Laplace-Beltrami Operator.
Found. Comput. Math., 2020
Fixing Asymptotic Uncertainty of Bayesian Neural Networks with Infinite ReLU Features.
CoRR, 2020
CoRR, 2020
Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
A Unifying Perron-Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps.
SIAM J. Matrix Anal. Appl., 2019
SIAM J. Matrix Anal. Appl., 2019
Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training.
CoRR, 2019
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 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
SIAM J. Appl. Math., 2018
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps.
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Pattern Recognition - 40th German Conference, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 15361).
Dagstuhl Reports, 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices.
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 Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
J. Mach. Learn. Res., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel Manifold.
Proceedings of the Pattern Recognition - 36th German Conference, 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the RatioDCA-Prox.
CoRR, 2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Constrained fractional set programs and their application in local clustering and community detection.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matching.
BMC Bioinform., 2012
2011
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291).
Dagstuhl Reports, 2011
CoRR, 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
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
2010
SIAM J. Imaging Sci., 2010
Hitting times, commute distances and the spectral gap for large random geometric graphs
CoRR, 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
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA.
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
Theor. Comput. Sci., 2009
Large-scale antibody profiling of human blood sera: The future of molecular diagnosis.
Inform. Spektrum, 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction.
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
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Comput. Graph. Forum, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
J. Mach. Learn. Res., 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
Proceedings of the Machine Learning, 2005
From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003