‪Miklós Z. Horváth‬ - ‪Google Scholar‬

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Citations	48	48
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Co-authors

Martin VechevFull Professor of Computer Science, ETH Zurich; Scientific Director, INSAIT;Verified email at inf.ethz.ch
Mark Niklas MüllerPhD Student, ETH ZurichVerified email at inf.ethz.ch
Marc FischerETH ZürichVerified email at inf.ethz.ch

Miklós Z. Horváth

Miklós Z. Horváth

DeepMind

Verified email at deepmind.com


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Boosting Randomized Smoothing with Variance Reduced Classifiers MZ Horváth, MN Mueller, M Fischer, M Vechev 10th International Conference on Learning Representations (ICLR 2022), 2021	37	2021
Robust and Accurate--Compositional Architectures for Randomized Smoothing MZ Horváth, MN Müller, M Fischer, M Vechev ICLR 2022 Workshop on Socially Responsible Machine Learning (SRML), 2022	10	2022
(De-)Randomized Smoothing for Decision Stump Ensembles MZ Horváth, MN Müller, M Fischer, M Vechev 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022	1	2022

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