Publications of Matthias Rupp

Talk (36)

2016
Talk
Rupp, Matthias: Understanding Many-Particle Systems with Machine Learning.
(Workshop, Institute for Pure and Applied Mathematics (IPAM), Lake Arrowhead, CA, USA, Dec 2016).
2015
Talk
Rupp, Matthias: Representing Atoms in Molecules.
(CECAM/Psi-k Workshop, From Many-Body Hamiltonians to Machine Learning and Back, Berlin, Germany, May 2015).
Talk
Rupp, Matthias: Quantum Mechanics / Machine Learning Models.
(Hands-on Workshop Density-Functional Theory and Beyond: First-Principles Simulations of Molecules and Materials, Berlin, Germany, Jul 2015).
Talk
Rupp, Matthias: Machine Learning for Materials Science.
(IPAM Workshop on Materials for a Sustainable Energy Future, Reunion Meeting, Institute for Pure and Applied Mathematics, Lake Arrowhead, CA, USA, Jun 2015).
Talk
Rupp, Matthias: Challenges in Development of Accurate and Efficient Atomistic Machine Learning Models.
(CECAM Workshop, Big Data of Materials Science - Critical Next Steps, Lausanne, Switzerland, Nov 2015).
Talk
Rupp, Matthias: Predicting Results of Quantum Mechanical Calculations: Challenges for Machine Learning.
(Workshop, Frontiers in Data-Driven Science and Technology: Recent Advances in Machine Learning and Applications, Nagoya, Japan, Nov 2015).
Talk
Rupp, Matthias: Quantum Mechanical Properties of Atoms in Molecules via Machine Learning.
(Psi-k 2015 Conference, San Sebastian, Spain, Sep 2015).
Talk
Rupp, Matthias: Machine Learning Models for Materials Science at the Atomic Scale.
(Seminar, National Institute for Materials Science (NIMS), Tsukuba, Japan, Nov 2015).

Thesis - PhD (1)

2023
Thesis - PhD
Langer, Marcel Florin: Machine Learning for Atomistic Modeling: Representations and Thermal Transport.

Editorial (1)

2018
Editorial
Rupp, Matthias, O.Anatole von Lilienfeld and Kieron Burke: Special Topic on Data-Enabled Theoretical Chemistry.
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