Christoph Schnörr

About Christoph Schnörr

Christoph Schnörr, With an exceptional h-index of 55 and a recent h-index of 23 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Image Processing, Computer Vision, Variational Methods, Numerical Optimization, Applied Mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bose-Einstein condensate experiment as a nonlinear block of a machine learning pipeline

A Geometric Embedding Approach to Multiple Games and Multiple Populations

The Central Spanning Tree Problem

On Certified Generalization in Structured Prediction

Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

On the universality of coupling-based normalizing flows

On Moving Object Segmentation from Monocular Video with Transformers

Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment

Christoph Schnörr Information

University

Position

Professor of Mathematics and Computer Science

Citations(all)

13432

Citations(since 2020)

2609

Cited By

12224

hIndex(all)

55

hIndex(since 2020)

23

i10Index(all)

165

i10Index(since 2020)

64

Email

University Profile Page

Ruprecht-Karls-Universität Heidelberg

Google Scholar

View Google Scholar Profile

Christoph Schnörr Skills & Research Interests

Image Processing

Computer Vision

Variational Methods

Numerical Optimization

Applied Mathematics

Top articles of Christoph Schnörr

Title

Journal

Author(s)

Publication Date

Bose-Einstein condensate experiment as a nonlinear block of a machine learning pipeline

Physical Review Research

Maurus Hans

Elinor Kath

Marius Sparn

Nikolas Liebster

Helmut Strobel

...

2024/1/31

A Geometric Embedding Approach to Multiple Games and Multiple Populations

Bastian Boll

Jonas Cassel

Peter Albers

Stefania Petra

Christoph Schnörr

2024/1/10

The Central Spanning Tree Problem

Enrique Fita Sanmartín

Christoph Schnoerr

Fred A Hamprecht

2023/10/13

On Certified Generalization in Structured Prediction

Advances in Neural Information Processing Systems

Bastian Boll

Christoph Schnörr

2024/2/13

Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

arXiv preprint arXiv:2402.07846

Bastian Boll

Daniel Gonzalez-Alvarado

Christoph Schnörr

2024/2/12

On the universality of coupling-based normalizing flows

arXiv preprint arXiv:2402.06578

Felix Draxler

Stefan Wahl

Christoph Schnörr

Ullrich Köthe

2024/2/9

On Moving Object Segmentation from Monocular Video with Transformers

Christian Homeyer

Christoph Schnörr

2023

Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment

Bastian Boll

Jonathan Schwarz

Daniel Gonzalez-Alvarado

Dmitrij Sitenko

Stefania Petra

...

2023/5/10

Quantum State Assignment Flows

Entropy

J. Schwarz

J. Cassel

B. Boll

M. Gärttner

P. Albers

...

2023

Check for updates On the Remarkable Efficiency of SMART

Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21–25, 2023, Proceedings

Max Kahl¹

Stefania Petra

Christoph Schnörr

Gabriele Steidl¹

Matthias Zisler2D

...

2023/5/9

On the geometric mechanics of assignment flows for metric data labeling

Information Geometry

Fabrizio Savarino

Peter Albers

Christoph Schnörr

2023/11/3

Learning linearized assignment flows for image labeling

Journal of Mathematical Imaging and Vision

Alexander Zeilmann

Stefania Petra

Christoph Schnörr

2023/1/17

Self‐certifying classification by linearized deep assignment

PAMM

Bastian Boll

Alexander Zeilmann

Stefania Petra

Christoph Schnörr

2023/5

Learning system parameters from turing patterns

Machine Learning

David Schnörr

Christoph Schnörr

2023/9

Bose Einstein condensate as nonlinear block of a Machine Learning pipeline

arXiv preprint arXiv:2304.14905

Maurus Hans

Elinor Kath

Marius Sparn

Nikolas Liebster

Felix Draxler

...

2023/4/28

On the convergence rate of gaussianization with random rotations

Felix Draxler

Lars Kühmichel

Armand Rousselot

Jens Müller

Christoph Schnörr

...

2023/7/3

A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling

SIAM Journal on Imaging Sciences

Dmitrij Sitenko

Bastian Boll

Christoph Schnörr

2023/3/31

On the Remarkable Efficiency of SMART

Max Kahl

Stefania Petra

Christoph Schnörr

Gabriele Steidl

Matthias Zisler

2023/5/10

Multi-view monocular depth and uncertainty prediction with deep sfm in dynamic environments

Christian Homeyer

Oliver Lange

Christoph Schnörr

2022/6/1

Self-certifying classification by linearized deep assignment

arXiv preprint arXiv:2201.11162

Bastian Boll

Alexander Zeilmann

Stefania Petra

Christoph Schnörr

2022/1/26

See List of Professors in Christoph Schnörr University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

H-index: 117
Daniel Cremers

Daniel Cremers

Technische Universität München

H-index: 80
Joachim Hornegger

Joachim Hornegger

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 78
Joachim Weickert

Joachim Weickert

Universität des Saarlandes

H-index: 57
Fred A. Hamprecht

Fred A. Hamprecht

Heidelberg University

H-index: 56
Nikos Komodakis

Nikos Komodakis

University of Crete

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