Miranda C. N. Cheng

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analytic Bijections for Smooth and Interpretable Normalizing Flows.
CoRR
Mathis Gerdes, Miranda C. N. Cheng
2026 J jnl
Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation.
CoRR
Zier Mensch, Lars Holdijk, Samuel Duffield, Maxwell Aifer, Patrick J. Coles, Max Welling, Miranda C. N. Cheng
2025 J jnl
Bijx: Bijections and normalizing flows with JAX/NNX.
J. Open Source Softw.
Mathis Gerdes, Miranda C. N. Cheng
2025 J jnl
Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories.
CoRR
Miranda C. N. Cheng, Niki Stratikopoulou
2024 J jnl
Continuous normalizing flows for lattice gauge theories.
CoRR
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
2024 J jnl
GUD: Generation with Unified Diffusion.
CoRR
Mathis Gerdes, Max Welling, Miranda C. N. Cheng
2022 J jnl
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows.
CoRR
Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng
2021 J jnl
Entangled q-Convolutional Neural Nets.
CoRR
Vassilis Anagiannis, Miranda C. N. Cheng
2021 J jnl
Entangled q-convolutional neural nets.
Mach. Learn. Sci. Technol.
Vassilis Anagiannis, Miranda C. N. Cheng
2021 J jnl
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows.
CoRR
Pim de Haan, Corrado Rainone, Miranda C. N. Cheng, Roberto Bondesan
2019 J jnl
Covariance in Physics and Convolutional Neural Networks.
CoRR
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling