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researcher

T. Pock

39 papers hereh-index 6425k citations244 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author13
  • last author21

Across the 35 of 39 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • math.OC8
  • cs.LG4
  • eess.IV4
  • math.NA2
  • eess.SP1
same name
  • T. Pock — 10 papers, h 5
  • T. Pock — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedInertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

217 citations · 323 across the 13 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2025

Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion

Laurenz Nagler, Martin Zach, Thomas Pock

Diffusion models have recently shown remarkable results in magnetic resonance imaging reconstruction. However, the employed networks typically are black-box estimators of the (smoo…

eess.IV2023

Product of Gaussian Mixture Diffusion Models

Martin Zach, Erich Kobler, Antonin Chambolle +1

In this work we tackle the problem of estimating the density fX​ of a random variable X by successive smoothing, such that the smoothed random variable Y fulfills the d…

eess.IV2022★ 1 cited

Computed Tomography Reconstruction using Generative Energy-Based Priors

Martin Zach, Erich Kobler, Thomas Pock

In the past decades, Computed Tomography (CT) has established itself as one of the most important imaging techniques in medicine. Today, the applicability of CT is only limited by…

eess.IV2021

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction

Dominik Narnhofer, Alexander Effland, Erich Kobler +3

Recent deep learning approaches focus on improving quantitative scores of dedicated benchmarks, and therefore only reduce the observation-related (aleatoric) uncertainty. However,…

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