Publications of Matthias Rupp
All genres
Talk (36)
2018
Talk
Rupp, Matthias: Accurate Interpolation of Ab Initio Calculations with Machine Learning.
(Sackler-CECAM school and workshop on Frontiers in Molecular Dynamics: Machine Learning, Deep Learning and Coarse Graining, Tel Aviv, Israel, Oct 2018).
Talk
Rupp, Matthias: Kernel Methods in Machine Learning.
(Hands-On DFT and Beyond: Frontiers of Advanced Electronic Structure and Molecular Dynamics Methods, Beijing, China, Jul 2018).
Talk
Rupp, Matthias: The Many-Body Tensor Representation.
(CECAM Workshop, Machine Learning at Interfaces, EPFL, Lausanne, Switzerland, Jun 2018).
Talk
Rupp, Matthias: Accurate Energy Predictions for Materials.
(International Workshop, Machine Learning for Quantum Many-body Physics, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany, Jun 2018).
Talk
Rupp, Matthias: High-Throughput Energy Predictions for Molecules and Materials via Machine Learning.
(Workshop: Modern Approaches to Coupling Scales in Materials Simulations, Lenggries, Germany, Jul 2018).
Talk
Rupp, Matthias: Machine Learning for Interpolation of Electronic Structure Calculations.
(The First International Conference on Machine Learning and Physics, Beijing, China, Jul 2018).
Talk
Rupp, Matthias: Accurate Energy Predictions for Materials and Molecules via Machine Learning.
(E-CAM Workshop, Improving the accuracy of ab-initio predictions for materials, Paris, France, Sep 2018).
Talk
Rupp, Matthias: Accurate Energy Predictions via Machine Learning.
(Conference on Quantum Machine Learning (QML+ 2018), Innsbruck, Austria, Sep 2018).
Talk
Rupp, Matthias: Machine Learning for Quantum Chemistry.
(The Löwdin Lectures, Uppsala University, Uppsala, Sweden, Nov 2018).
Talk
Rupp, Matthias: Accurate Energy Predictions for Materials.
(Seminar, State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun, China, Aug 2018).
2017
Talk
Rupp, Matthias: Many-Body Tensor Representation for Machine Learning of Solids.
(57th Sanibel Symposium, St. Simons Island, GA, USA, Feb 2017).
Talk
Rupp, Matthias: Many-Body Tensor Representation for Machine Learning of Materials.
(APS March Meeting 2017, New Orleans, LA, USA, Mar 2017).
Talk
Rupp, Matthias: Accurate Machine Learning Predictions for Materials Properties.
(Workshop on Machine Learning Strategies for Materials Science, Aalto, Finland, Mar 2017).
Talk
Rupp, Matthias: Many-Body Tensor Representation.
(Working Conference on Materials and Data Analysis, CMSA Harvard University, Cambridge, MA, USA, Mar 2017).
Talk
Rupp, Matthias: Unified Representation for Machine Learning of Molecules and Crystals.
(Workshop on Machine Learning and Many-Body Physics, Beijing, China, Jun 2017).
Talk
Rupp, Matthias: Machine Learning for Quantum Mechanics.
(Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Berlin, Germany, Jul 2017).
Talk
Rupp, Matthias: Interpolation of Electronic Structure Calculations via Machine Learning.
(International Workshop on Atomic Physics 2017, Dresden, Germany, Dec 2017).
Talk
Rupp, Matthias: Machine Learning for Interpolation of Electronic Structure Calculations.
(Seminar, Department of Thin Films and Nanostructures, Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic, Dec 2017).
2016
Talk
Rupp, Matthias: Practical Tutorial on Machine Learning for Electronic Structure Calculations.
(IPAM Workshop on Understanding Many-Particle Systems with Machine Learning, Los Angeles, CA, USA, Sep 2016).
Talk
Rupp, Matthias: New Data, Validation, Code and Representation for Interpolation Across Chemical Compound Space.
(IPAM Workshop on Machine Learning Meets Many-Particle Problems, Los Angeles, CA, USA, Sep 2016).