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Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching
In this paper, we propose a general framework for solving high-dimensional partial differential equations with tensor networks.
Generative Modeling via Hierarchical Tensor Sketching
We propose a hierarchical tensor-network approach for approximating high-dimensional probability density via empirical distribution.
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