Detecting and Mitigating Mode-Collapse for Flow-based Sampling of
Lattice Field Theories

Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories

27 February 2023

Christopher J. Anders

Shinichi Nakajima

Papers citing "Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories"

12 / 12 papers shown

Title
Path Gradients after Flow Matching Lorenz Vaitl Leon Klein 5 0 0 15 May 2025
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 54 1 0 11 Mar 2025
Physics-Conditioned Diffusion Models for Lattice Gauge Theory Qianteng Zhu Gert Aarts Wei Wang K. Zhou L. Wang 53 1 0 08 Feb 2025
Simulating the Hubbard Model with Equivariant Normalizing Flows Dominic Schuh Janik Kreit Evan Berkowitz L. Funcke Thomas Luu K. Nicoli Marcel Rodekamp 32 3 0 13 Jan 2025
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 26 4 0 28 Oct 2024
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows M. Caselle E. Cellini A. Nada 23 4 0 24 Sep 2024
Fast and Unified Path Gradient Estimators for Normalizing Flows Lorenz Vaitl Ludwig Winkler Lorenz Richter Pan Kessel 31 4 0 23 Mar 2024
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows Bálint Máté Franccois Fleuret AI4CE 19 0 0 01 Jan 2024
Generative Diffusion Models for Lattice Field Theory L. Wang Gert Aarts Kai Zhou DiffM 22 10 0 06 Nov 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 24 40 0 04 Oct 2023
Diffusion Models as Stochastic Quantization in Lattice Field Theory L. Wang Gert Aarts Kai Zhou DiffM 13 14 0 29 Sep 2023
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows M. Caselle E. Cellini A. Nada 18 14 0 03 Jul 2023