Christian Weilbach

According to our database, Christian Weilbach authored at least 15 papers between 2015 and 2025.

Collaborative distances:

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

2025

Daphne: Multi-Pass Compilation of Probabilistic Programs into Graphical Models and Neural Networks.

Christian Dietrich Weilbach, Frank Wood

Trans. Mach. Learn. Res., 2025

2024

Prospective Messaging: Learning in Networks with Communication Delays.

Ryan Fayyazi, Christian Weilbach, Frank Wood

CoRR, 2024

All-in-one simulation-based inference.

Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Trans-Dimensional Generative Modeling via Jump Diffusion Models.

Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet

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

Graphically Structured Diffusion Models.

Christian Dietrich Weilbach, William Harvey, Frank Wood

Proceedings of the International Conference on Machine Learning, 2023

If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History.

Giselle Gonzalez Garcia, Christian Weilbach

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

Flexible Diffusion Modeling of Long Videos.

William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

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

2021

Planning as Inference in Epidemiological Dynamics Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri

Frontiers Artif. Intell., 2021

Inferring the Structure of Ordinary Differential Equations.

Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir

CoRR, 2021

Sequential core-set Monte Carlo.

Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Planning as Inference in Epidemiological Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri

CoRR, 2020

Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.

Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2017

Techreport: Time-sensitive probabilistic inference for the edge.

Christian Weilbach, Annette Bieniusa

CoRR, 2017

2016

Decoupling conflict resolution with CDVCS.

Christian Weilbach, Konrad Kühne, Annette Bieniusa

Proceedings of the 2nd Workshop on the Principles and Practice of Consistency for Distributed Data, 2016

2015

replikativ.io: Composable consistency primitives for a scalable and robust global replication system.

Christian Weilbach, Konrad Kühne, Annette Bieniusa

CoRR, 2015