Skip to main content Skip to navigation

One World Approximate Bayesian Inference (ABI) Seminar

After 5 Seasons of the One World Approximate Bayesian Computation (ABC) SeminarLink opens in a new window, launched in April 2020 to gather members and disseminate results and innovation during those weeks and months under lockdown, we have now decided to launch a "new" seminar series, the One World Approximate Bayesian Inference (OWABI), to better reflect the broader interest and scope of this series, which goes beyond ABC. In particular, simulation-based inference and ML related techniques will have a particular role.

Feel free to contact any of the organisers if you want to suggest yourself or someone else for a talk.

How it works and mailing list

All webinars will be held on Zoom/MS Teams, with a link shared on the email sent via the mailing list. So if you are interested in the OWABI seminar and would like to hear from us monthly about the announced speaker, title and abstract and, most importantly, be able to join the talk, please register by sending an email to owabi_seminar-subscribe@newlistserv.warwick.ac.uk with subject "Subscribe".

A "One World ABI" playlist on the ISBA YouTube channel, with all past OWABC and current OWABI talks is available hereLink opens in a new window.

Season 6* -- 2024/2025

  Speaker Title Keywords Abstract Slides Video

31.10.2024
11.00 am

 Ullrich KötheLink opens in a new window

Free-form flows for physics-informed generative modeling

Normalizing flows; physical-informed neural networks; simulation-based inference AbstractLink opens in a new window SlidesLink opens in a new window  VideoLink opens in a new window

28.11.2024

Jeremias KnoblauchLink opens in a new window

Post-Bayesian machine learning

Generalised Bayes; robustness; Bayesian machine learning

AbstractLink opens in a new window SlidesLink opens in a new window Video Link opens in a new window
30.01.2025 Paul BürknerLink opens in a new window Amortized Mixture and Multilevel Models

Amortized Bayesian Inference, Neural Posterior Estimation, Probabilistic Factorization

AbstractLink opens in a new window   Video
27.02.2025 cancelled

and rescheduled to

April 24

     
27.03.2025 Meïli BaragattiLink opens in a new window Approximate Bayesian Computation with Deep Learning and Conformal prediction Likelihood-free inference · Approximate Bayesian computation · Convolutional neural networks · Dropout · Conformal prediction · probability matching criterion Abstract SlidesLink opens in a new window VideoLink opens in a new window
24.04.2025

Ayush BhartiLink opens in a new window

Cost-aware simulation-based inferenceLink opens in a new window

simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling Abstract   VideoLink opens in a new window
29.05.2025

(10am Uk time)

OWABI@BioInferenceLink opens in a new window

1) Andrew GolightlyLink opens in a new window

2) Henrik HäggströmLink opens in a new window


1) Accelerating Bayesian inference for stochastic epidemic models using incidence data


2) Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology

       
19.06.2025            

A recent monthly webinar

Other One World Seminars