Maurice Weber - RankMe

25 papers A* 8A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multilingual Language Model Pretraining using Machine-translated Data. EMNLP Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, David Ifeoluwa Adelani, Yihong Chen, Raphael Tang, Pontus Stenetorp
2025	J	`jnl`	Multilingual Language Model Pretraining using Machine-translated Data. CoRR Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, David Ifeoluwa Adelani, Yihong Chen, Raphael Tang, Pontus Stenetorp
2025	J	`jnl`	Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation. CoRR Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang
2025	A*	`conf`	Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation. ICLR Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang
2025	J	`jnl`	Towards Best Practices for Open Datasets for LLM Training. CoRR Stefan Baack, Stella Biderman, Kasia Odrozek, Aviya Skowron, Ayah Bdeir, Jillian Bommarito, Jennifer Ding, Maximilian Gahntz, Paul Keller, Pierre-Carl Langlais, Greg Lindahl, Sebastian Majstorovic, Nik Marda, Guilherme Penedo, Maarten Van Segbroeck, Jennifer Wang, Leandro von Werra, Mitchell Baker, Julie Belião, Kasia Chmielinski, Marzieh Fadaee, Lisa Gutermuth, Hynek Kydlícek, Greg Leppert, EM Lewis-Jong, Solana Larsen, Shayne Longpre, Angela Oduor Lungati, Cullen Miller, Victor Miller, Max Ryabinin, Kathleen Siminyu, Andrew Strait, Mark Surman, Anna Tumadóttir, Maurice Weber, Rebecca Weiss, Lee White, Thomas Wolf
2024	J	`jnl`	Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language. CoRR Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, Yihong Chen, Raphael Tang, Pontus Stenetorp
2024	A*	`conf`	RedPajama: an Open Dataset for Training Large Language Models. NeurIPS Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	RedPajama: an Open Dataset for Training Large Language Models. CoRR Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2023	—	`—`	Probabilistic Robustness Guarantees for Machine Learning Systems. Maurice Weber
2023	A*	`conf`	RAB: Provable Robustness Against Backdoor Attacks. SP Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2023	A*	`conf`	WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. NeurIPS Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
2023	J	`jnl`	WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. CoRR Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
2022	A*	`conf`	Certifying Out-of-Domain Generalization for Blackbox Functions. ICML Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	J	`jnl`	Certifying Out-of-Domain Generalization for Blackbox Functions. CoRR Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022	A*	`conf`	Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022	J	`jnl`	Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022	J	`jnl`	Predicting Properties of Quantum Systems with Conditional Generative Models. CoRR Haoxiang Wang, Maurice Weber, Josh A. Izaac, Cedric Yen-Yu Lin
2021	A	`conf`	Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 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
2021	A*	`conf`	TSS: Transformation-Specific Smoothing for Robustness Certification. CCS Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li
2020	—	`conf`	Observer Dependent Lossy Image Compression. GCPR Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang
2020	J	`jnl`	Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. CoRR Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao
2020	J	`jnl`	Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li
2020	J	`jnl`	RAB: Provable Robustness Against Backdoor Attacks. CoRR Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2019	J	`jnl`	Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. CoRR Maurice Weber, Cédric Renggli, Helmut Grabner, Ce Zhang
2019	—	`conf`	Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks. ICHI Filipe Barata, Kevin Kipfer, Maurice Weber, Peter Tinschert, Elgar Fleisch, Tobias Kowatsch