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2020 – today
- 2022
[i4]Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner
, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Alexandre Tkatchenko, Klaus-Robert Müller:
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations. CoRR abs/2205.08306 (2022)- 2021
- [i3]Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn:
Continental-Scale Building Detection from High Resolution Satellite Imagery. CoRR abs/2107.12283 (2021) - [i2]Lionel Tondji, Sergii Kashubin, Moustapha Cissé:
Variance Reduction in Deep Learning: More Momentum is All You Need. CoRR abs/2111.11828 (2021) - 2020
- [c1]Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR 2020
2010 – 2019
- 2019
- [i1]Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR abs/1912.09713 (2019)
Coauthor Index
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