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06/09/2022
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
The dual tasks of quantum Hamiltonian learning and quantum Gibbs samplin...
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05/31/2022
More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites
In 3D printing, stiff fibers (e.g., carbon fiber) can reinforce thermopl...
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06/29/2021
Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
We investigate a correspondence between two formalisms for discrete prob...
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07/01/2020
On Linear Identifiability of Learned Representations
Identifiability is a desirable property of a statistical model: it impli...
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05/13/2020
Learning Composable Energy Surrogates for PDE Order Reduction
Meta-materials are an important emerging class of engineered materials i...
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05/28/2019
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
We introduce a flexible, scalable Bayesian inference framework for nonli...
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03/27/2017