( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Towards neural networks that provably know when they don't know.

, и . ICLR, OpenReview.net, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Matthias Hein

Matthias Hein

Matthias Hein

Matthias Hein

Matthias Hein

 

Другие публикации лиц с тем же именем

Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks., , и . Int. J. Comput. Vis., 128 (4): 1028-1046 (2020)Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization, и . (2012)cite arxiv:1205.0953Comment: 43 pages, 7 figures; extends NIPS 2011 'Sparse recovery by thresholded non-negative least squares'.Diffusion Visual Counterfactual Explanations., , , и . NeurIPS, (2022)RobustBench: a standardized adversarial robustness benchmark., , , , , , , и . NeurIPS Datasets and Benchmarks, (2021)Neural Network Heuristic Functions: Taking Confidence into Account., , , , и . SOCS, стр. 223-228. AAAI Press, (2022)Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 2041-2074. PMLR, (2022)Mind the Box: l1-APGD for Sparse Adversarial Attacks on Image Classifiers., и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2201-2211. PMLR, (2021)Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints., и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 35198-35222. PMLR, (2023)Provable robustness against all adversarial lp-perturbations for p≥1., и . CoRR, (2019)Bit Error Robustness for Energy-Efficient DNN Accelerators., , , и . MLSys, mlsys.org, (2021)