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ORCIDMaurice Weber
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2020 – today
- 2024
[i9]Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, Yihong Chen, Raphael Tang, Pontus Stenetorp:
Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language. CoRR abs/2410.23956 (2024)- 2023
- [b1]Maurice Weber:
Probabilistic Robustness Guarantees for Machine Learning Systems. ETH Zurich, Zürich, Switzerland, 2023 - [c8]Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang:
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. NeurIPS 2023 - [c7]Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li:
RAB: Provable Robustness Against Backdoor Attacks. SP 2023: 1311-1328 - [i8]Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov
, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang:
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. CoRR abs/2312.10188 (2023) - 2022
- [c6]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. ICML 2022: 23527-23548 - [c5]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS 2022 - [i7]Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR abs/2202.01679 (2022) - [i6]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR abs/2205.15494 (2022) - [i5]Haoxiang Wang, Maurice Weber, Josh Izaac, Cedric Yen-Yu Lin:
Predicting Properties of Quantum Systems with Conditional Generative Models. CoRR abs/2211.16943 (2022) - 2021
- [c4]Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li:
TSS: Transformation-Specific Smoothing for Robustness Certification. CCS 2021: 535-557 - [c3]Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - 2020
- [c2]Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang:
Observer Dependent Lossy Image Compression. GCPR 2020: 130-144 - [i4]Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li:
Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR abs/2002.12398 (2020) - [i3]Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li:
RAB: Provable Robustness Against Backdoor Attacks. CoRR abs/2003.08904 (2020) - [i2]Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao:
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. CoRR abs/2009.10064 (2020)
2010 – 2019
- 2019
- [c1]Filipe Barata, Kevin Kipfer, Maurice Weber, Peter Tinschert, Elgar Fleisch, Tobias Kowatsch:
Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks. ICHI 2019: 1-11 - [i1]Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang:
Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. CoRR abs/1910.03472 (2019)
Coauthor Index
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