Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources. - Marcel Wagenländer; Luo Mai; Guo Li; Peter R. Pietzuch (HotCloud, 2020)

KungFu: Making Training in Distributed Machine Learning Adaptive. - Luo Mai; Guo Li; Marcel Wagenländer; Konstantinos Fertakis; Andrei-Octavian Brabete; Peter R. Pietzuch (OSDI, 2020)

TENPLEX: Changing Resources of Deep Learning Jobs using Parallelizable Tensor Collections. - Marcel Wagenländer; Guo Li; Bo Zhao 019; Luo Mai; Peter R. Pietzuch (CoRR, 2023)

Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections. - Marcel Wagenländer; Guo Li; Bo Zhao 019; Luo Mai; Peter R. Pietzuch (SOSP, 2024)

Recommendations for Baselines and Benchmarking Approximate Gaussian Processes. - Sebastian W. Ober; Artem Artemev; Marcel Wagenländer; Rudolfs Grobins; Mark van der Wilk (CoRR, 2024)