replikativ.io: Composable consistency primitives for a scalable and robust global replication system. - Christian Weilbach; Konrad Kühne; Annette Bieniusa (CoRR, 2015)

Decoupling conflict resolution with CDVCS. - Christian Weilbach; Konrad Kühne; Annette Bieniusa (PaPoC@EuroSys, 2016)

Techreport: Time-sensitive probabilistic inference for the edge. - Christian Weilbach; Annette Bieniusa (CoRR, 2017)

Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. - Christian Weilbach; Boyan Beronov; Frank Wood; William Harvey 002 (AISTATS, 2020)

Planning as Inference in Epidemiological Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; Seyed Ali Nasseri (CoRR, 2020)

Sequential core-set Monte Carlo. - Boyan Beronov; Christian Weilbach; Frank Wood; Trevor Campbell (UAI, 2021)

Inferring the Structure of Ordinary Differential Equations. - Juliane Weilbach; Sebastian Gerwinn; Christian Weilbach; Melih Kandemir (CoRR, 2021)

Planning as Inference in Epidemiological Dynamics Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; John Grefenstette; Duncan Campbell; Seyed Ali Nasseri (Frontiers Artif. Intell., 2021)

Flexible Diffusion Modeling of Long Videos. - William Harvey 002; Saeid Naderiparizi; Vaden Masrani; Christian Weilbach; Frank Wood (NeurIPS, 2022)

If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History. - Giselle Gonzalez Garcia; Christian Weilbach (CHR, 2023)

Graphically Structured Diffusion Models. - Christian Dietrich Weilbach; William Harvey 002; Frank Wood (ICML, 2023)

Trans-Dimensional Generative Modeling via Jump Diffusion Models. - Andrew Campbell; William Harvey 002; Christian Weilbach; Valentin De Bortoli; Thomas Rainforth; Arnaud Doucet (NeurIPS, 2023)

All-in-one simulation-based inference. - Manuel Glöckler; Michael Deistler; Christian Dietrich Weilbach; Frank Wood; Jakob H. Macke (ICML, 2024)

Prospective Messaging: Learning in Networks with Communication Delays. - Ryan Fayyazi; Christian Weilbach; Frank Wood (CoRR, 2024)

Daphne: Multi-Pass Compilation of Probabilistic Programs into Graphical Models and Neural Networks. - Christian Dietrich Weilbach; Frank Wood (Trans. Mach. Learn. Res., 2025)