Miranda C. N. Cheng

According to our database, Miranda C. N. Cheng authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation.

Zier Mensch, Lars Holdijk, Samuel Duffield, Maxwell Aifer, Patrick J. Coles, Max Welling, Miranda C. N. Cheng

CoRR, February, 2026

Analytic Bijections for Smooth and Interpretable Normalizing Flows.

Mathis Gerdes, Miranda C. N. Cheng

CoRR, January, 2026

2025

Bijx: Bijections and normalizing flows with JAX/NNX.

Mathis Gerdes, Miranda C. N. Cheng

J. Open Source Softw., December, 2025

Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories.

Miranda C. N. Cheng, Niki Stratikopoulou

CoRR, April, 2025

2024

Continuous normalizing flows for lattice gauge theories.

Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng

CoRR, 2024

GUD: Generation with Unified Diffusion.

Mathis Gerdes, Max Welling, Miranda C. N. Cheng

CoRR, 2024

2022

Learning Lattice Quantum Field Theories with Equivariant Continuous Flows.

Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng

CoRR, 2022

2021

Entangled q-convolutional neural nets.

Vassilis Anagiannis, Miranda C. N. Cheng

Mach. Learn. Sci. Technol., 2021

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

2019

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