22 citations · 128 across the 29 of their papers we have counts for
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stat.ML2023★ 2 cited
Coupled Variational Autoencoder
Xiaoran Hao, Patrick Shafto
Variational auto-encoders are powerful probabilistic models in generative tasks but suffer from generating low-quality samples which are caused by the holes in the prior. We propos…
stat.ML2021★ 2 cited
Discrete Probabilistic Inverse Optimal Transport
Wei-Ting Chiu, Pei Wang, Patrick Shafto
Optimal transport (OT) formalizes the problem of finding an optimal coupling between probability measures given a cost matrix. The inverse problem of inferring the cost given a cou…
stat.ML2018★ 2 cited
Standing Wave Decomposition Gaussian Process
Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto
We propose a Standing Wave Decomposition (SWD) approximation to Gaussian Process regression (GP). GP involves a costly matrix inversion operation, which limits applicability to lar…