Publications of Matthias Rupp

Rupp, M.: 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 (2018)

Rupp, M.: Kernel Methods in Machine Learning. Hands-On DFT and Beyond: Frontiers of Advanced Electronic Structure and Molecular Dynamics Methods, Beijing, China (2018)

Rupp, M.: The Many-Body Tensor Representation. CECAM Workshop, Machine Learning at Interfaces, EPFL, Lausanne, Switzerland (2018)

Rupp, M.: 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 (2018)

Rupp, M.: High-Throughput Energy Predictions for Molecules and Materials via Machine Learning. Workshop: Modern Approaches to Coupling Scales in Materials Simulations, Lenggries, Germany (2018)

Rupp, M.: Machine Learning for Interpolation of Electronic Structure Calculations. The First International Conference on Machine Learning and Physics, Beijing, China (2018)

Rupp, M.: Accurate Energy Predictions for Materials and Molecules via Machine Learning. E-CAM Workshop, Improving the accuracy of ab-initio predictions for materials, Paris, France (2018)

Rupp, M.: Accurate Energy Predictions via Machine Learning. Conference on Quantum Machine Learning (QML+ 2018), Innsbruck, Austria (2018)

Rupp, M.: Machine Learning for Quantum Chemistry. The Löwdin Lectures, Uppsala University, Uppsala, Sweden (2018)

Rupp, M.: Accurate Energy Predictions for Materials. Seminar, State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun, China (2018)

Rupp, M.: Many-Body Tensor Representation for Machine Learning of Solids. 57th Sanibel Symposium, St. Simons Island, GA, USA (2017)

Rupp, M.: Many-Body Tensor Representation for Machine Learning of Materials. APS March Meeting 2017, New Orleans, LA, USA (2017)

Rupp, M.: Accurate Machine Learning Predictions for Materials Properties. Workshop on Machine Learning Strategies for Materials Science, Aalto, Finland (2017)

Rupp, M.: Many-Body Tensor Representation. Working Conference on Materials and Data Analysis, CMSA Harvard University, Cambridge, MA, USA (2017)

Rupp, M.: Unified Representation for Machine Learning of Molecules and Crystals. Workshop on Machine Learning and Many-Body Physics, Beijing, China (2017)

Rupp, M.: Machine Learning for Quantum Mechanics. Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Berlin, Germany (2017)

Rupp, M.: Interpolation of Electronic Structure Calculations via Machine Learning. International Workshop on Atomic Physics 2017, Dresden, Germany (2017)

Rupp, M.: 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 (2017)

Rupp, M.: Practical Tutorial on Machine Learning for Electronic Structure Calculations. IPAM Workshop on Understanding Many-Particle Systems with Machine Learning, Los Angeles, CA, USA (2016)

Rupp, M.: 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 (2016)