Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks. - Filipe Barata; Kevin Kipfer; Maurice Weber; Peter Tinschert; Elgar Fleisch; Tobias Kowatsch (ICHI, 2019)

Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy. - Maurice Weber; Cédric Renggli; Helmut Grabner; Ce Zhang 001 (CoRR, 2019)

Observer Dependent Lossy Image Compression. - Maurice Weber; Cédric Renggli; Helmut Grabner; Ce Zhang 001 (GCPR, 2020)

Provable Robust Learning Based on Transformation-Specific Smoothing. - Linyi Li 001; Maurice Weber; Xiaojun Xu; Luka Rimanic; Tao Xie 001; Ce Zhang 001; Bo Li 026 (CoRR, 2020)

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing. - Maurice Weber; Nana Liu; Bo Li 026; Ce Zhang 001; Zhikuan Zhao (CoRR, 2020)

TSS: Transformation-Specific Smoothing for Robustness Certification. - Linyi Li 001; Maurice Weber; Xiaojun Xu; Luka Rimanic; Bhavya Kailkhura; Tao Xie 001; Ce Zhang 001; Bo Li 026 (CCS, 2021)

Ease.ML: A Lifecycle Management System for Machine Learning. - Leonel Aguilar Melgar; David Dao; Shaoduo Gan; Nezihe Merve Gürel; Nora Hollenstein; Jiawei Jiang 001; Bojan Karlas; Thomas Lemmin; Tian Li 005; Yang Li 106; Susie Xi Rao; Johannes Rausch; et al. (CIDR, 2021)

Certifying Out-of-Domain Generalization for Blackbox Functions. - Maurice Weber; Linyi Li 001; Boxin Wang; Zhikuan Zhao; Bo Li 026; Ce Zhang 001 (ICML, 2022)

Certifying Some Distributional Fairness with Subpopulation Decomposition. - Mintong Kang; Linyi Li 001; Maurice Weber; Yang Liu 018; Ce Zhang 001; Bo Li 026 (NeurIPS, 2022)

Predicting Properties of Quantum Systems with Conditional Generative Models. - Haoxiang Wang 003; Maurice Weber; Josh A. Izaac; Cedric Yen-Yu Lin (CoRR, 2022)

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 026; Rick Stevens; Ce Zhang 001 (NeurIPS, 2023)

RAB: Provable Robustness Against Backdoor Attacks. - Maurice Weber; Xiaojun Xu; Bojan Karlas; Ce Zhang 001; Bo Li 026 (SP, 2023)

Probabilistic Robustness Guarantees for Machine Learning Systems. - Maurice Weber (2023)

RedPajama: an Open Dataset for Training Large Language Models. - 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; et al. (NeurIPS, 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)

Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation. - Linda He; Jue Wang; Maurice Weber; Shang Zhu; Ben Athiwaratkun; Ce Zhang (ICLR, 2025)

Towards Best Practices for Open Datasets for LLM Training. - 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; et al. (CoRR, 2025)

Multilingual Language Model Pretraining using Machine-translated Data. - Jiayi Wang; Yao Lu; Maurice Weber; Max Ryabinin; David Ifeoluwa Adelani; Yihong Chen; Raphael Tang; Pontus Stenetorp (CoRR, 2025)

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation. - Linda He; Jue Wang; Maurice Weber; Shang Zhu; Ben Athiwaratkun; Ce Zhang 001 (CoRR, 2025)