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Anzahl der Publikationen: 2
Zeitschriftenartikel
Kovar, Heinrich; Amatruda, James; Brunet, Erika; Burdach, Stefan; Cidre-Aranaz, Florencia; de Alava, Enrique; Dirksen, Uta; Ent, Wietske van der; Grohar, Patrick; Grünewald, Thomas G. P.; Helman, Lee; Houghton, Peter; Iljin, Kristiina; Korsching, Eberhard; Ladanyi, Marc; Lawlor, Elizabeth; Lessnick, Stephen; Ludwig, Joseph; Meltzer, Paul; Metzler, Markus; Mora, Jaume; Moriggl, Richard; Nakamura, Takuro; Papamarkou, Theodore; Sarikas, Branka Radic; Rédini, Francoise; Richter, Guenther H. S.; Rossig, Claudia; Schadler, Keri; Schäfer, Beat W.; Scotlandi, Katia; Sheffield, Nathan C.; Shelat, Anang; Snaar-Jagalska, Ewa; Sorensen, Poul; Stegmaier, Kimberly; Stewart, Elizabeth; Sweet-Cordero, Alejandro; Szuhai, Karoly; Tirado, Oscar M.; Tirode, Franck; Toretsky, Jeffrey; Tsafou, Kalliopi; Üren, Aykut; Zinovyev, Andrei und Delattre, Olivier
(2016):
The second European interdisciplinary Ewing sarcoma research summit - A joint effort to deconstructing the multiple layers of a complex disease.
In: Oncotarget, Bd. 7, Nr. 8: S. 8613-8624
Konferenzbeitrag
Wiese, Jonas Gregor; Wimmer, Lisa; Papamarkou, Theodore; Bischl, Bernd 
ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474
ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474