Meta-Learning Amidst Heterogeneity and Ambiguity by Kyeongryeol Go, Mingyu Kim, Seyoung Yun

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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

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Variational AutoEncoder for synthetic insurance data by Charlotte Jamotton, Donatien Hainaut

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Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding by Yuya Kawamura, Satoshi Takabe

Subjects: “…particle-based variational inference…”
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Key Frame Selection for Temporal Graph Optimization of Skeleton-Based Action Recognition by Jingyi Hou, Lei Su, Yan Zhao

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Stabilizing training of affine coupling layers for high-dimensional variational inference by Daniel Andrade

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Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network by Alaa Aldeen Joumah, Assef Jafar, Chadi Albitar

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Semantic information guided diffusion posterior sampling for remote sensing image fusion by Chenlin Zhang, Yajun Chang, Yuhang Wu, Yang Shui, Zelong Wang, Jubo Zhu

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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

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A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

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