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DTSTAMP:20240826T103613
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SUMMARY:Talk of Prof. Thomas Schön 
DESCRIPTION:Prof. Thomas Schön\nDepartment of Information Technology\nDivision of Systems and Control\nUppsala University\nUppsala, Sweden\n\n  \nWednesday 2024-08-28 4 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nSequential Monte Carlo methods (including the particle filters and smoothers) allows us to\ncompute probabilistic representations of the unknown objects in models used to represent for\nexample nonlinear dynamical systems. Physical knowledge of a system can be used in the\nidentification process to improve the predictive performance by restricting the space of possible\nmappings from the input to the output. Typically, the physical models contain unknown parameters\nthat must be learned from data. Sequential Monte Carlo methods are more general, which opens up for\ninteresting possibilities when it comes to the popular diffusion models which underpins many of the\ncontemporary generative AI algorithms. In this context I will show some work we have done when it\ncomes to improving the diffusion model and how this in turn delivers better image restoration. Here\nit is interesting to note that the diffusion model is built around a dynamical system, which could\nopen up for interesting connections to systems and control.  \nBiographical Information\nThomas Schön is the Beijer Professor in Artificial Intelligence in the Department of Information\nTechnology at Uppsala University. He received the PhD degree in Automatic Control in Feb. 2006, the\nMSc degree in Applied Physics and Electrical Engineering in Sep. 2001,  the BSc degree in\nBusiness Administration and Economics in Jan. 2001, all from Linköping University. He has held\nvisiting positions with the University of Cambridge (UK), the University of Newcastle (Australia)\nand Universidad Técnica Federico Santa María (Valparaíso, Chile). In 2018, he was elected to The\nRoyal Swedish Academy of Engineering Sciences (IVA) and The Royal Society of Sciences at Uppsala.\nHe received the Tage Erlander prize for natural sciences and technology in 2017 and the Arnberg\nprize in 2016, both awarded by the Royal Swedish Academy of Sciences (KVA). He was awarded the\nAutomatica Best Paper Prize in 2014, and in 2013 he received the best PhD thesis award by The\nEuropean Association for Signal Processing. He received the best teacher award at the Institute of\nTechnology, Linköping University in 2009.\n\n\n\n 
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240828
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof.-Thomas-Schoen/
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