Symmetric and antisymmetric kernels for machine learning problems in
quantum physics and chemistry

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Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

31 March 2021

Frank Noé

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Papers citing "Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry"

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Title
Convergence to the fixed-node limit in deep variational Monte Carlo Zeno Schätzle J. Hermann Frank Noé 28 18 0 11 Oct 2020
On Representing (Anti)Symmetric Functions Marcus Hutter 63 22 0 30 Jul 2020
Kernel-based approximation of the Koopman generator and Schrödinger operator Stefan Klus Feliks Nuske B. Hamzi 38 58 0 27 May 2020
Approximating the Permanent by Sampling from Adaptive Partitions Jonathan Kuck Tri Dao Hamid Rezatofighi Ashish Sabharwal Stefano Ermon 131 8 0 26 Nov 2019
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 215 456 0 16 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 84 465 0 05 Sep 2019
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 73 90 0 13 Aug 2018
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces Mattes Mollenhauer Ingmar Schuster Stefan Klus Christof Schütte 52 19 0 24 Jul 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems G. Gnecco 25 3 0 27 Jun 2016
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels T. Pahikkala Markus Viljanen A. Airola Willem Waegeman 24 5 0 19 Jun 2015
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 531 0 03 Mar 2010