Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments von Unke, Oliver T, Stöhr, Martin, Ganscha, Stefan, Unterthiner, Thomas, Maennel, Hartmut, Kashubin, Sergii, Ahlin, Daniel, Gastegger, Michael, Medrano Sandonas, Leonardo, Berryman, Joshua T, Tkatchenko, Alexandre, Müller, Klaus-Robert

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Variance Reduction in Deep Learning: More Momentum is All You Need von Tondji, Lionel, Kashubin, Sergii, Cisse, Moustapha

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Variance Reduction in Deep Learning: More Momentum is All You Need von Tondji, Lionel, Kashubin, Sergii, Cisse, Moustapha

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Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations von Unke, Oliver T, Stöhr, Martin, Ganscha, Stefan, Unterthiner, Thomas, Maennel, Hartmut, Kashubin, Sergii, Ahlin, Daniel, Gastegger, Michael, Sandonas, Leonardo Medrano, Tkatchenko, Alexandre, Müller, Klaus-Robert

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Continental-Scale Building Detection from High Resolution Satellite Imagery von Sirko, Wojciech, Kashubin, Sergii, Ritter, Marvin, Annkah, Abigail, Bouchareb, Yasser Salah Eddine, Dauphin, Yann, Keysers, Daniel, Neumann, Maxim, Cisse, Moustapha, Quinn, John

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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data von Keysers, Daniel, Schärli, Nathanael, Scales, Nathan, Buisman, Hylke, Furrer, Daniel, Kashubin, Sergii, Momchev, Nikola, Sinopalnikov, Danila, Stafiniak, Lukasz, Tihon, Tibor, Tsarkov, Dmitry, Wang, Xiao, van Zee, Marc, Bousquet, Olivier

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Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations von Unke, Oliver T, Stöhr, Martin, Ganscha, Stefan, Unterthiner, Thomas, Maennel, Hartmut, Kashubin, Sergii, Ahlin, Daniel, Gastegger, Michael, Leonardo Medrano Sandonas, Tkatchenko, Alexandre, Klaus-Robert Müller

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Continental-Scale Building Detection from High Resolution Satellite Imagery von Sirko, Wojciech, Kashubin, Sergii, Ritter, Marvin, Annkah, Abigail, Yasser Salah Eddine Bouchareb, Dauphin, Yann, Keysers, Daniel, Neumann, Maxim, Cisse, Moustapha, Quinn, John

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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data von Keysers, Daniel, Schärli, Nathanael, Scales, Nathan, Buisman, Hylke, Furrer, Daniel, Kashubin, Sergii, Momchev, Nikola, Sinopalnikov, Danila, Stafiniak, Lukasz, Tihon, Tibor, Tsarkov, Dmitry, Wang, Xiao, Marc van Zee, Bousquet, Olivier

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