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06/05/2023
Convex Relaxation for Fokker-Planck
We propose an approach to directly estimate the moments or marginals for...
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05/29/2023
Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching
In this paper, we propose a general framework for solving high-dimension...
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04/11/2023
Generative Modeling via Hierarchical Tensor Sketching
We propose a hierarchical tensor-network approach for approximating high...
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03/17/2023
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices
Physics-based covariance models provide a systematic way to construct co...
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06/23/2021
Committor functions via tensor networks
We propose a novel approach for computing committor functions, which des...
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12/18/2020
Multiscale semidefinite programming approach to positioning problems with pairwise structure
We consider the optimization of pairwise objective functions, i.e., obje...
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01/08/2020
Automatic Melody Harmonization with Triad Chords: A Comparative Study
Several prior works have proposed various methods for the task of automa...
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05/24/2019
Generative Latent Flow: A Framework for Non-adversarial Image Generation
Generative Adversarial Networks (GANs) have been shown to outperform non...
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08/28/2018
Superhighway: Bypass Data Sparsity in Cross-Domain CF
Cross-domain collaborative filtering (CF) aims to alleviate data sparsit...
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08/28/2018
Representation Learning for Image-based Music Recommendation
Image perception is one of the most direct ways to provide contextual in...
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11/01/2017