Towards Antisymmetric Neural Ansatz Separation

Towards Antisymmetric Neural Ansatz Separation

5 August 2022

Joan Bruna

Papers citing "Towards Antisymmetric Neural Ansatz Separation"

14 / 14 papers shown

Title
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 55 8 0 02 Jun 2022
Optimization-Based Separations for Neural Networks Itay Safran Jason D. Lee 286 14 0 04 Dec 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 255 60 0 05 Jul 2021
Quantitative approximation results for complex-valued neural networks A. Caragea D. Lee J. Maly G. Pfander F. Voigtlaender 37 6 0 25 Feb 2021
On Representing (Anti)Symmetric Functions Marcus Hutter 56 22 0 30 Jul 2020
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 202 455 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 72 461 0 05 Sep 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 119 164 0 25 Jan 2019
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 133 903 0 30 Jan 2018
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 177 1,614 0 05 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 400 2,462 0 10 Mar 2017
Depth Separation for Neural Networks Amit Daniely MDE 37 74 0 27 Feb 2017
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 213 732 0 12 Dec 2015
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 75 769 0 20 Nov 2015

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