| Feb 27, 2024 |
I gave an invited talk on Accelerating MCMC for UQ in Imaging Science by Relaxed Proximal-point Langevin Sampling in the mini-symposium entitled “Advances in Bayesian Inverse Problems” at the SIAM Conference on Uncertainty Quantification (UQ) in Trieste, Italy, from February 27 to March 1 2024! Slides
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| Feb 13, 2024 |
I’ll be attending SIAM Imaging Atlanta from 28-31 May 2024! Mini-symposia acceptance has been announced and I am looking forward to speaking about my latest research and meeting you there!
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| Jan 10, 2024 |
I am happy to report that our preprint “Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling” with Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesus M. Sanz-Serna and Konstantinos C. Zygalakis has been accepted for publication in the SIAM Journal for Imaging Science! Code can be found here 🎉
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| Sep 7, 2023 |
I gave a contributed talk on Accelerating MCMC for imaging science by using an implicit Langevin algorithm for the 11th Applied Inverse Problems (AIP) Conference in Göttingen, Germany September 4-8, 2023! 🥳
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| Aug 18, 2023 |
New preprint online! “Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling” with Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesus M. Sanz-Serna and Konstantinos C. Zygalakis
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| Apr 11, 2023 |
I am excited to attend the Hausdorff school “Data-driven Inverse Problems in Biomedical Imaging” in Bonn, Germany this week!
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| Apr 3, 2023 |
I am happy to present a stand-up comedy piece on “My life with inverse problems” as part of the Mathematics Showdown within the Edinburgh Science Festival. 5 Mathematicians went on the challenge to explain their PhD topics to a general audience. Find a recording of my contribution on Youtube 🤓
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| Mar 10, 2023 |
Our Python tutorials repository went live! Check it out here. These tutorials are about Bayesian computation and inverse problems in imaging science - to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences.
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| Feb 1, 2023 |
I am excited to attend MIA 2023 (Mathematics and Image Analysis) conference this week in Berlin, Germany, and will be presenting a poster on recent work on implicit Langevin algorithms.
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| Jan 24, 2023 |
I am presenting a poster at the ICMS Workshop - Interfacing Bayesian statistics, deep learning, and mathematical analysis for imaging inverse problems in Edinburgh 🤗
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| Sep 15, 2017 |
We have been awarded with the
Best Paper Award
for Variational Networks: Connecting Variational Methods and Deep Learning at GCPR 2017 in Basel, Switzerland!
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| Jun 16, 2017 |
Our papers
Trainable Regularization for Multi-frame Superresolution and
Variational Networks: Connecting Variational Methods and Deep Learning have been accepted to GCPR 2017! These are joint work with Erich Kobler, Daniel Soukup, Kerstin Hammernik and Thomas Pock.
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| May 29, 2017 |
I am looking forward to give a talk at the Applied Inverse Problems (AIP) conference in Hangzhou, China. My talk will be part of the minisymposium on
“Non-standard regularisation: theory and applications”
organized by Martin Benning and Carola-Bibiane Schönlieb
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| Feb 20, 2017 |
Invited Talk at a interdisciplinary data science workshop on “Mathematical imaging with partially unknown models” in Cambridge, UK. The topic of this talk was
“Learning Variational Networks for Solving Inverse Problems in Imaging” .
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| Oct 17, 2016 |
I am looking forward to attend the 2 day Google Computer Vision PhD summit in Zürich!
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| May 13, 2016 |
Oral presentation at the International Conference on Computational Photography (ICCP) 2016 for the paper Joint Demosaicing and Denoising Based on Sequential Energy Minimization.
Teresa Klatzer, Kerstin Hammernik, Patrick Knöbelreiter, Thomas Pock
Slides Code
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