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

v1v2 (latest)

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

31 March 2021

Frank Noé

ArXiv (abs)PDF HTML

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

12 / 12 papers shown

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 36 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