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