Publications
Most of our publications are found under Fred’s Google Scholar Profile.
Selected Recent
2024
Truth is Universal: Robust Detection of Lies in LLMs
NeurIPS
·
2024
2023
From $t$-SNE to UMAP with contrastive learning
ICLR
·
2023
2022
The Algebraic Path Problem for Graph Metrics
ICML
·
2022
2021
On UMAP' s True Loss Function
NeurIPS
·
2021
Highlights
2021
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
2021
2019
ilastik: interactive machine learning for (bio)image analysis
Nature Methods
·
2019
2018
Essentially No Barriers in Neural Network Energy Landscape
Proceedings of the 35th International Conference on Machine Learning
·
2018
Learning Steerable Filters for Rotation Equivariant CNNs
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
·
2018
2017
Multicut brings automated neurite segmentation closer to human performance
Nature Methods
·
2017
2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
International Journal of Computer Vision
·
2015
2014
Graphical model for joint segmentation and tracking of multiple dividing cells
Bioinformatics
·
2014
Semi-Global Matching: A Principled Derivation in Terms of Message Passing
Lecture Notes in Computer Science
·
2014
2008
Concise Representation of Mass Spectrometry Images by Probabilistic Latent Semantic Analysis
Analytical Chemistry
·
2008
2005
Optimal Lattices for Sampling
IEEE Transactions on Information Theory
·
2005
2002
Chemical Library Subset Selection Algorithms: A Unified Derivation Using Spatial Statistics
Journal of Chemical Information and Computer Sciences
·
2002
1998
Development and assessment of new exchange-correlation functionals
The Journal of Chemical Physics
·
1998
Three-Dimensional Quantitative Similarity−Activity Relationships (3D QSiAR) from SEAL Similarity Matrices
Journal of Medicinal Chemistry
·
1998