Summer School on Bayesian Filtering (SSBF 2024)
The SSBF 2024 event covered essential theory and state-of-the-art methodologies in Bayesian filtering. It provided PhD students, early-career researchers, and industry professionals with comprehensive tutorials on techniques like particle filters, sigma-point methods, and Gaussian-mixture filters.
Dates: May 6–10, 2024
Location: International Centre for Mathematical Sciences (ICMS), Bayes Centre, Edinburgh, Scotland
Organizers: Víctor Elvira (University of Edinburgh), Oana Lang (Imperial College London), Joaquín Míguez (University Carlos III of Madrid), Sahani Pathiraja (UNSW Sydney)
Official website: https://www.icms.org.uk/SSBF2024
Videos: Below are recorded sessions from the SSBF 2024 summer school. Click on the thumbnails to watch each video on YouTube.
O. Deniz Akyildiz (Imperial College London) - Introduction to Bayesian Filtering: Theory & Methods (1/2)
O. Deniz Akyildiz (Imperial College London) - Introduction to Bayesian Filtering: Theory & Methods (2/2)
Petar M. Djuric (Stony Brook University) - Sequential Estimation in Deep State-Space Processes (1/2)
Petar M. Djuric (Stony Brook University) - Sequential Estimation in Deep State-Space Processes (2/2)
Victor Elvira (University of Edinburgh) - Effective and Efficient Filtering (1/2)
Victor Elvira (University of Edinburgh) - Effective and Efficient Filtering (2/2)
Pierre Del Moral (INRIA) - Theoretical Analysis of Particle Filters (1/2)
Pierre Del Moral (INRIA) - Theoretical Analysis of Particle Filters (2/2)
Yunpeng Li (University of Surrey) - Differentiable Particle Filters (1/2)
Yunpeng Li (University of Surrey) - Differentiable Particle Filters (2/2)
Fredrik Lindsten (Linköping University) - Particle Markov Chain Monte Carlo (1/2)
Fredrik Lindsten (Linköping University) - Particle Markov Chain Monte Carlo (2/2)