Oswin Krause

Orcid: 0000-0002-0990-559X

Affiliations:
  • University of Copenhagen, Denmark


According to our database1, Oswin Krause authored at least 28 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Semantic similarity metrics for image registration.
Medical Image Anal., 2023

2022
Convergence Analysis of the Hessian Estimation Evolution Strategy.
Evol. Comput., 2022

Learning Coulomb Diamonds in Large Quantum Dot Arrays.
CoRR, 2022

Recombination Weight Based Selection in the DTS-CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays.
CoRR, 2021

Spot the Difference: Topological Anomaly Detection via Geometric Alignment.
CoRR, 2021

Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy.
CoRR, 2021

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts.
CoRR, 2021

Spot the Difference: Detection of Topological Changes via Geometric Alignment.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semantic similarity metrics for learned image registration.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Is Segmentation Uncertainty Useful?
Proceedings of the Information Processing in Medical Imaging, 2021

2020
DeepSim: Semantic similarity metrics for learned image registration.
CoRR, 2020

Algorithms for estimating the partition function of restricted Boltzmann machines.
Artif. Intell., 2020

The Hessian Estimation Evolution Strategy.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Bayesian Active Learning for Maximal Information Gain on Model Parameters.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Large-scale noise-resilient evolution-strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Population-Contrastive-Divergence: Does consistency help with RBM training?
Pattern Recognit. Lett., 2018

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017
Convolutional Neural Networks for Segmentation and Object Detection of Human Semen.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Qualitative and Quantitative Assessment of Step Size Adaptation Rules.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

2016
CMA-ES with Optimal Covariance Update and Storage Complexity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
A CMA-ES with Multiplicative Covariance Matrix Updates.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

2013
Approximation properties of DBNs with binary hidden units and real-valued visible units.
Proceedings of the 30th International Conference on Machine Learning, 2013


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