Retreat Siegmundsburg 2022
- Date: September 26th to 30th, 2022
- Place: Haus Rosenbaum, Hiftenberg 3, 98724 Neuhaus am Rennweg / OT Siegmundsburg
- Program: https://indico.rz.uni-jena.de/event/28/
Paper Discussion Groups
On Tuesday and Thursday, we are working in groups, discussing publications that are related to topics of the research training group. Both days end with a short presentation on results. Groups 1 to 6 meet on Tuesday, and Groups 7 to 12 on Thursday.
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Tensor-tensor products: Misha Kilmer et al.: https://arxiv.org/pdf/2001.00046.pdf
- Alex Breuer, Christoph Staudt, Niklas Merk, Paul Gerhardt Rump, Torsten Bosse
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A Bayesian machine scientist: Roger Guimerà et al.: https://www.science.org/doi/10.1126/sciadv.aav6971
- Henrik Voigt, Martin Bücker, Paul Kahlmeyer, Pepe Eulzer, Shantanu Pramod Kodgirwar
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Maximum entropy principle: Adom Giffin: https://arxiv.org/pdf/0901.2987.pdf
- Brian Zahoransky, Joachim Giesen, Michael Habeck, Tim Hoffmann, Wolfhart Feldmeier
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Probabilistic theorem proving: V. Gogate and P. Domingos: Probabilistic Theorem Proving: https://arxiv.org/pdf/1202.3724.pdf
- Andreas Goral, Olaf Beyersdorff, Luc Spachmann, Stefan Perko, Steffen Meier
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Graph Neural Networks as Fast Global Search Heuristics: - Jan Tönshoff et al.: https://arxiv.org/pdf/2208.10227.pdf
- Agnes Schleitzer, Benjamin Böhm, Julien Klaus, Matthias Mitterreiter, Meena Mahajan
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Inside-Outside and Forward-Backward Algorithms Are Just Backprop: Jason Eisner: https://aclanthology.org/W16-5901.pdf
- Andreas Kröpelin, Christian Hoener zu Siederdissen, Johannes Schoder, Shima Baniadamdizaj, Vincent Messow
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The frontier of simulation-based inference: Kyle Cranmer, Johann Brehmer, and Gilles Louppe: https://arxiv.org/pdf/1911.01429.pdf
- Johannes Schoder, Martin Bücker, Michael Habeck, Pepe Eulzer, Vincent Messow
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Causality for Machine Learning: Bernhard Schölkopf: https://arxiv.org/pdf/1911.10500.pdf
- Andreas Goral, Andreas Kröpelin, Meena Mahajan, Olaf Beyersdorff, Wolfhart Feldmeier
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Sampling can be faster than optimization: Yi-An Ma et al.: https://www.pnas.org/doi/epdf/10.1073/pnas.1820003116
- Benjamin Böhm, Brian Zahoransky, Christian Hoener zu Siederdissen, Luc Spachmann, Shantanu Pramod Kodgirwar
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Lectures on Randomized Numerical Linear Algebra: Petros Drineas and Michael W. Mahoney: https://arxiv.org/pdf/1712.08880.pdf
- Julien Klaus, Niklas Merk, Shima Baniadamdizaj, Stefan Perko, Steffen Meier
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Towards Learning Quantifier Instantiation in SMT: Mikolás Janota et al.: https://drops.dagstuhl.de/opus/volltexte/2022/16681/pdf/LIPIcs-SAT-2022-7.pdf
- Agnes Schleitzer, Christoph Staudt, Joachim Giesen, Paul Kahlmeyer, Tim Hoffmann
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Tensor comprehensions: Nicolas Vasilache et al.: https://arxiv.org/pdf/1802.04730.pdf
- Alex Breuer, Henrik Voigt, Matthias Mitterreiter, Paul Gerhardt Rump, Torsten Bosse