Covariance in Physics and Convolutional Neural Networks. - Miranda C. N. Cheng; Vassilis Anagiannis; Maurice Weiler; Pim de Haan; Taco S. Cohen; Max Welling (CoRR, 2019)

Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows. - Pim de Haan; Corrado Rainone; Miranda C. N. Cheng; Roberto Bondesan (CoRR, 2021)

Entangled q-convolutional neural nets. - Vassilis Anagiannis; Miranda C. N. Cheng (Mach. Learn. Sci. Technol., 2021)

Learning Lattice Quantum Field Theories with Equivariant Continuous Flows. - Mathis Gerdes; Pim de Haan; Corrado Rainone; Roberto Bondesan; Miranda C. N. Cheng (CoRR, 2022)

GUD: Generation with Unified Diffusion. - Mathis Gerdes; Max Welling; Miranda C. N. Cheng (CoRR, 2024)

Continuous normalizing flows for lattice gauge theories. - Mathis Gerdes; Pim de Haan; Roberto Bondesan; Miranda C. N. Cheng (CoRR, 2024)

Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories. - Miranda C. N. Cheng; Niki Stratikopoulou (CoRR, 2025)