Oswin Krause - RankMe

36 papers A* 3A 4B 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Semantic similarity metrics for image registration. Medical Image Anal. Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
2022	J	`jnl`	Convergence Analysis of the Hessian Estimation Evolution Strategy. Evol. Comput. Tobias Glasmachers, Oswin Krause
2022	J	`jnl`	Learning Coulomb Diamonds in Large Quantum Dot Arrays. CoRR Oswin Krause, Anasua Chatterjee, Ferdinand Kuemmeth, Evert P. L. van Nieuwenburg
2022	—	`conf`	Recombination Weight Based Selection in the DTS-CMA-ES. PPSN (2) Oswin Krause
2022	J	`jnl`	Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis. CoRR Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
2022	—	`conf`	Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. iMIMIC@MICCAI Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner
2021	J	`jnl`	Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays. CoRR Oswin Krause, Torbjørn Rasmussen, Bertram Brovang, Anasua Chatterjee, Ferdinand Kuemmeth
2021	—	`conf`	Is Segmentation Uncertainty Useful? IPMI Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Is segmentation uncertainty useful? CoRR Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel
2021	—	`conf`	Semantic similarity metrics for learned image registration. MIDL Steffen Czolbe, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Semantic similarity metrics for learned image registration. CoRR Steffen Czolbe, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy. CoRR Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen
2021	A*	`conf`	Spot the Difference: Detection of Topological Changes via Geometric Alignment. NeurIPS Steffen Czolbe, Aasa Feragen, Oswin Krause
2021	J	`jnl`	Spot the Difference: Topological Anomaly Detection via Geometric Alignment. CoRR Steffen Czolbe, Aasa Feragen, Oswin Krause
2020	A*	`conf`	A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. NeurIPS Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
2020	J	`jnl`	A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. CoRR Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
2020	A*	`conf`	Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). IJCAI Oswin Krause, Asja Fischer, Christian Igel
2020	J	`jnl`	Algorithms for estimating the partition function of restricted Boltzmann machines. Artif. Intell. Oswin Krause, Asja Fischer, Christian Igel
2020	B	`conf`	Bayesian Active Learning for Maximal Information Gain on Model Parameters. ICPR Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog
2020	J	`jnl`	Convergence Analysis of the Hessian Estimation Evolution Strategy. CoRR Tobias Glasmachers, Oswin Krause
2020	J	`jnl`	DeepSim: Semantic similarity metrics for learned image registration. CoRR Steffen Czolbe, Oswin Krause, Aasa Feragen
2020	—	`conf`	The Hessian Estimation Evolution Strategy. PPSN (1) Tobias Glasmachers, Oswin Krause
2020	J	`jnl`	The Hessian Estimation Evolution Strategy. CoRR Tobias Glasmachers, Oswin Krause
2019	A	`conf`	Large-scale noise-resilient evolution-strategies. GECCO Oswin Krause
2018	J	`jnl`	Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognit. Lett. Oswin Krause, Asja Fischer, Christian Igel
2018	—	`conf`	Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions. PPSN (1) Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner
2017	—	`conf`	Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. SCIA (1) Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen
2017	J	`jnl`	Convolutional neural networks for segmentation and object detection of human semen. CoRR Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen
2017	A	`conf`	Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA Oswin Krause, Tobias Glasmachers, Christian Igel
2016	—	`conf`	CMA-ES with Optimal Covariance Update and Storage Complexity. NIPS Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
2016	—	`conf`	Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
2015	A	`conf`	A CMA-ES with Multiplicative Covariance Matrix Updates. GECCO Oswin Krause, Tobias Glasmachers
2015	A	`conf`	A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies. FOGA Oswin Krause, Christian Igel
2015	J	`jnl`	Population-Contrastive-Divergence: Does Consistency help with RBM training? CoRR Oswin Krause, Asja Fischer, Christian Igel
2013	—	`conf`	Approximation properties of DBNs with binary hidden units and real-valued visible units. ICML (1) Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel