Oswin Krause

发表

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Christina Lioma, Akshay Pai, Bulat Ibragimov, 2020, Scientific Reports.

Learning Coulomb Diamonds in Large Quantum Dot Arrays

E. V. Nieuwenburg, F. Kuemmeth, Oswin Krause, 2022, ArXiv.

Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays

F. Kuemmeth, Oswin Krause, A. Chatterjee, 2021, ArXiv.

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

Kenny Erleben, Oswin Krause, S. Darkner, 2022, ArXiv.

Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

C. Igel, S. Shakibfar, Oswin Krause, 2019, PloS one.

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

Kenny Erleben, Oswin Krause, S. Darkner, 2022, iMIMIC@MICCAI.

Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy

Jelena M. Krivokapic, Silja Heilmann, A. Feragen, 2021, 2105.09737.

Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays

F. Kuemmeth, Oswin Krause, A. Chatterjee, 2021, Electronics.

Autonomous Estimation of High-Dimensional Coulomb Diamonds from Sparse Measurements

F. Kuemmeth, Oswin Krause, H. Bohuslavskyi, 2021, Physical Review Applied.

Is segmentation uncertainty useful? pdf

Steffen Czolbe, Oswin Krause, Aasa Feragen, 2021, IPMI.

Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

C. Igel, J. Svendsen, S. Shakibfar, 2018, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

OP-EUPA180260 268..274

C. Igel, J. Svendsen, S. Shakibfar, 2019 .

Multi-objective Optimization with Unbounded Solution Sets

Oswin Krause, Oswin Krause, 2016 .

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite

Oswin Krause, Christian Igel, Nikolaus Hansen, 2016, GECCO.

Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract)

Oswin Krause, Christian Igel, Asja Fischer, 2020, IJCAI.

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Andreas D. Lauritzen, Abraham George Smith, Marleen de Bruijne, 2021, Scientific reports.

Large-scale noise-resilient evolution-strategies

Oswin Krause, Oswin Krause, 2019, GECCO.

CMA-ES with Optimal Covariance Update and Storage Complexity

Oswin Krause, Christian Igel, Dídac Rodríguez Arbonès, 2016, NIPS.

Semantic similarity metrics for learned image registration pdf

Steffen Czolbe, Oswin Krause, Aasa Feragen, 2021, MIDL.

Convergence Analysis of the Hessian Estimation Evolution Strategy

Oswin Krause, Tobias Glasmachers, T. Glasmachers, 2020, Evolutionary Computation.

Convolutional Neural Networks for Segmentation and Object Detection of Human Semen

Oswin Krause, Mads Nielsen, Malte Stær Nissen, 2017, SCIA.

Algorithms for estimating the partition function of restricted Boltzmann machines

Oswin Krause, Christian Igel, Asja Fischer, 2020, Artif. Intell..

Approximation properties of DBNs with binary hidden units and real-valued visible units

Oswin Krause, Christian Igel, Asja Fischer, 2013, ICML.

Semantic similarity metrics for image registration

A. Feragen, Oswin Krause, Paraskevas Pegios, 2023, Medical Image Anal..

A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies

Oswin Krause, Christian Igel, C. Igel, 2015, FOGA.

A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

C. Igel, Oswin Krause, Steffen Czolbe, 2020, NeurIPS.

Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions

Markus Wagner, Oswin Krause, Christian Igel, 2018, PPSN.

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts pdf

Oswin Krause, Christian Igel, Mads Nielsen, 2021, ArXiv.

A CMA-ES with Multiplicative Covariance Matrix Updates

Oswin Krause, Tobias Glasmachers, T. Glasmachers, 2015, GECCO.

Bayesian Active Learning for Maximal Information Gain on Model Parameters

Oswin Krause, Aasa Feragen, Marco Loog, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).