Scientific AI Hamprecht Lab, IWR, Heidelberg University

Publications

Most of our publications are found under Fred’s Google Scholar Profile.

Selected Recent

2025

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A. Hamprecht
ICLR   ·   2025

2024

Truth is Universal: Robust Detection of Lies in LLMs
Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
NeurIPS   ·   2024
SynCellFactory: Generative Data Augmentation for Cell Tracking
SynCellFactory: Generative Data Augmentation for Cell Tracking
Moritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht
MICCAI   ·   2024

2023

KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory
KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory
R. Remme, T. Kaczun, M. Scheurer, A. Dreuw, F. A. Hamprecht
JCP   ·   2023
Geometric autoencoders: what you see is what you decode
Geometric autoencoders: what you see is what you decode
Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht
ICML   ·   2023
From $t$-SNE to UMAP with contrastive learning
From $t$-SNE to UMAP with contrastive learning
Sebastian Damrich, Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
ICLR   ·   2023

2022

Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht
NeurIPS   ·   2022
The Algebraic Path Problem for Graph Metrics
The Algebraic Path Problem for Graph Metrics
Enrique Fita Sanmartı́n, Sebastian Damrich, Fred Hamprecht
ICML   ·   2022

2021

On UMAP' s True Loss Function
On UMAP' s True Loss Function
Sebastian Damrich, Fred A Hamprecht
NeurIPS   ·   2021

Highlights

2021

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Kothe, Fred A. Hamprecht
IEEE Transactions on Pattern Analysis and Machine Intelligence   ·   2021

2019

ilastik: interactive machine learning for (bio)image analysis
ilastik: interactive machine learning for (bio)image analysis
Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N. Straehle, Bernhard X. Kausler, ..., Adrian Wolny, Chong Zhang, Ullrich Koethe, Fred A. Hamprecht, Anna Kreshuk
Nature Methods   ·   2019

2018

Essentially No Barriers in Neural Network Energy Landscape
Essentially No Barriers in Neural Network Energy Landscape
Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred Hamprecht
Proceedings of the 35th International Conference on Machine Learning   ·   2018
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, Fred A. Hamprecht, Martin Storath
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition   ·   2018

2017

Multicut brings automated neurite segmentation closer to human performance
Multicut brings automated neurite segmentation closer to human performance
Thorsten Beier, Constantin Pape, Nasim Rahaman, Timo Prange, Stuart Berg, ..., Stephen M Plaza, Louis K Scheffer, Ullrich Koethe, Anna Kreshuk, Fred A Hamprecht
Nature Methods   ·   2017

2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, ..., Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
International Journal of Computer Vision   ·   2015

2014

Graphical model for joint segmentation and tracking of multiple dividing cells
Graphical model for joint segmentation and tracking of multiple dividing cells
Martin Schiegg, Philipp Hanslovsky, Carsten Haubold, Ullrich Koethe, Lars Hufnagel, Fred A. Hamprecht
Bioinformatics   ·   2014
Semi-Global Matching: A Principled Derivation in Terms of Message Passing
Semi-Global Matching: A Principled Derivation in Terms of Message Passing
Amnon Drory, Carsten Haubold, Shai Avidan, Fred A. Hamprecht
Lecture Notes in Computer Science   ·   2014

2008

Concise Representation of Mass Spectrometry Images by Probabilistic Latent Semantic Analysis
Concise Representation of Mass Spectrometry Images by Probabilistic Latent Semantic Analysis
Michael Hanselmann, Marc Kirchner, Bernhard Y. Renard, Erika R. Amstalden, Kristine Glunde, Ron M. A. Heeren, Fred A. Hamprecht
Analytical Chemistry   ·   2008

2005

Optimal Lattices for Sampling
Optimal Lattices for Sampling
H.R. Kunsch, E. Agrell, F.A. Hamprecht
IEEE Transactions on Information Theory   ·   2005

2002

Chemical Library Subset Selection Algorithms:  A Unified Derivation Using Spatial Statistics
Chemical Library Subset Selection Algorithms:  A Unified Derivation Using Spatial Statistics
Fred A. Hamprecht, Walter Thiel, Wilfred F. van Gunsteren
Journal of Chemical Information and Computer Sciences   ·   2002

1998

Development and assessment of new exchange-correlation functionals
Development and assessment of new exchange-correlation functionals
Fred A. Hamprecht, Aron J. Cohen, David J. Tozer, Nicholas C. Handy
The Journal of Chemical Physics   ·   1998
Three-Dimensional Quantitative Similarity−Activity Relationships (3D QSiAR) from SEAL Similarity Matrices
Three-Dimensional Quantitative Similarity−Activity Relationships (3D QSiAR) from SEAL Similarity Matrices
Hugo Kubinyi, Fred A. Hamprecht, Thomas Mietzner
Journal of Medicinal Chemistry   ·   1998