Oswin Krause
Adjunkt, Lektor
- 2020
- Udgivet
Algorithms for estimating the partition function of restricted Boltzmann machines
Krause, Oswin, Fischer, A. & Igel, Christian, jan. 2020, I: Artificial Intelligence. 278, 19 s., 103195.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)
Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (red.). International Joint Conferences on Artificial Intelligence, s. 5045-5049 5 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2021-January).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
Bayesian active learning for maximal information gain on model parameters
Arnavaz, Kasra, Feragen, A., Krause, Oswin & Loog, M., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, s. 10524-10531 8 s. 9411962Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
The hessian estimation evolution strategy
Glasmachers, T. & Krause, Oswin, 2020, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020, Proceedings. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (red.). Springer, s. 597-609 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12269 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 40813873
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Publikation: Working paper › Preprint › Forskning
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