Picture for David Pfau

David Pfau

Natural Quantum Monte Carlo Computation of Excited States

Aug 31, 2023
Figure 1 for Natural Quantum Monte Carlo Computation of Excited States
Figure 2 for Natural Quantum Monte Carlo Computation of Excited States
Figure 3 for Natural Quantum Monte Carlo Computation of Excited States
Figure 4 for Natural Quantum Monte Carlo Computation of Excited States
Viaarxiv icon

Neural Wave Functions for Superfluids

May 11, 2023
Figure 1 for Neural Wave Functions for Superfluids
Figure 2 for Neural Wave Functions for Superfluids
Figure 3 for Neural Wave Functions for Superfluids
Figure 4 for Neural Wave Functions for Superfluids
Viaarxiv icon

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Add code
Nov 24, 2022
Figure 1 for A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Figure 2 for A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Figure 3 for A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Figure 4 for A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Viaarxiv icon

Ab-initio quantum chemistry with neural-network wavefunctions

Aug 26, 2022
Figure 1 for Ab-initio quantum chemistry with neural-network wavefunctions
Figure 2 for Ab-initio quantum chemistry with neural-network wavefunctions
Figure 3 for Ab-initio quantum chemistry with neural-network wavefunctions
Figure 4 for Ab-initio quantum chemistry with neural-network wavefunctions
Viaarxiv icon

Integrable Nonparametric Flows

Dec 03, 2020
Figure 1 for Integrable Nonparametric Flows
Figure 2 for Integrable Nonparametric Flows
Viaarxiv icon

Better, Faster Fermionic Neural Networks

Add code
Nov 13, 2020
Figure 1 for Better, Faster Fermionic Neural Networks
Figure 2 for Better, Faster Fermionic Neural Networks
Figure 3 for Better, Faster Fermionic Neural Networks
Figure 4 for Better, Faster Fermionic Neural Networks
Viaarxiv icon

Disentangling by Subspace Diffusion

Add code
Jun 23, 2020
Figure 1 for Disentangling by Subspace Diffusion
Figure 2 for Disentangling by Subspace Diffusion
Figure 3 for Disentangling by Subspace Diffusion
Figure 4 for Disentangling by Subspace Diffusion
Viaarxiv icon

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

Add code
Sep 05, 2019
Figure 1 for Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
Figure 2 for Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
Figure 3 for Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
Figure 4 for Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
Viaarxiv icon

Towards a Definition of Disentangled Representations

Add code
Dec 05, 2018
Figure 1 for Towards a Definition of Disentangled Representations
Figure 2 for Towards a Definition of Disentangled Representations
Viaarxiv icon

Spectral Inference Networks: Unifying Spectral Methods With Deep Learning

Add code
Jun 06, 2018
Figure 1 for Spectral Inference Networks: Unifying Spectral Methods With Deep Learning
Figure 2 for Spectral Inference Networks: Unifying Spectral Methods With Deep Learning
Figure 3 for Spectral Inference Networks: Unifying Spectral Methods With Deep Learning
Figure 4 for Spectral Inference Networks: Unifying Spectral Methods With Deep Learning
Viaarxiv icon