Maurice Weber

According to our database, Maurice Weber authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language.

Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, Yihong Chen, Raphael Tang, Pontus Stenetorp

CoRR, 2024

2023

Probabilistic Robustness Guarantees for Machine Learning Systems.

Maurice Weber

PhD thesis, 2023

RAB: Provable Robustness Against Backdoor Attacks.

Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.

Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Predicting Properties of Quantum Systems with Conditional Generative Models.

Haoxiang Wang, Maurice Weber, Josh Izaac, Cedric Yen-Yu Lin

CoRR, 2022

Certifying Some Distributional Fairness with Subpopulation Decomposition.

Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certifying Out-of-Domain Generalization for Blackbox Functions.

Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Ease.ML: A Lifecycle Management System for Machine Learning.

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

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

TSS: Transformation-Specific Smoothing for Robustness Certification.

Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.

Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao

CoRR, 2020

Provable Robust Learning Based on Transformation-Specific Smoothing.

Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li

CoRR, 2020

Observer Dependent Lossy Image Compression.

Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy.

Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang

CoRR, 2019

Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks.

Filipe Barata, Kevin Kipfer, Maurice Weber, Peter Tinschert, Elgar Fleisch, Tobias Kowatsch

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019