Christian Weilbach

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Diffusion Models

Inference In Graphical Models

Conflict Resolution

Top Venues

Frontiers Artif. Intell.

Publications

Ryan Fayyazi, Christian Weilbach, Frank Wood
Prospective Messaging: Learning in Networks with Communication Delays. CoRR (2024)
Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke
All-in-one simulation-based inference. CoRR (2024)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS (2023)
Giselle Gonzalez Garcia, Christian Weilbach
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History. CHR (2023)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. CoRR (2023)
Giselle Gonzalez Garcia, Christian Weilbach
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in History. CoRR (2023)
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
Flexible Diffusion Modeling of Long Videos. NeurIPS (2022)
Christian Weilbach, William Harvey, Frank Wood
Graphically Structured Diffusion Models. CoRR (2022)
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
Flexible Diffusion Modeling of Long Videos. CoRR (2022)
Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir
Inferring the Structure of Ordinary Differential Equations. CoRR (2021)
Boyan Beronov, Christian Weilbach, Frank Wood, Trevor Campbell
Sequential core-set Monte Carlo. UAI (2021)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. 4 (2021)
Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. AISTATS (2020)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Ali Nasseri
Planning as Inference in Epidemiological Models. CoRR (2020)
Christian Weilbach, Annette Bieniusa
Techreport: Time-sensitive probabilistic inference for the edge. CoRR (2017)
Christian Weilbach, Konrad Kühne, Annette Bieniusa
Decoupling conflict resolution with CDVCS. PaPoC@EuroSys (2016)
Christian Weilbach, Konrad Kühne, Annette Bieniusa
replikativ.io: Composable consistency primitives for a scalable and robust global replication system. CoRR (2015)