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

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ADVANCEMENTS IN ALZHEIMER’S DIAGNOSIS THROUGH MRI USING BAYESIAN CONVOLUTIONAL NEURAL NETWORKS AND VARIATIONAL INFERENCE by Alifia Ardha Nareswari, Dina Tri Utari

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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

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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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Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models by Chenling Xu, Romain Lopez, Edouard Mehlman, Jeffrey Regier, Michael I Jordan, Nir Yosef

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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

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Non-invasive arterial input function estimation using an MRA atlas and machine learning by Rajat Vashistha, Hamed Moradi, Amanda Hammond, Kieran O’Brien, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens

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BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks by Whitney Sloneker, Shalin Patel, Hung-Jen Wang, Lorin Crawford, Ritambhara Singh

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Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model by Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan

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spVelo: RNA velocity inference for multi-batch spatial transcriptomics data by Wenxin Long, Tianyu Liu, Lingzhou Xue, Hongyu Zhao

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A Comparative Study on Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning with Different Coupling Structures by Simiao Chen, Shenyuan Gu, Yilin Zhao, Xuelei Feng, Yong Shen

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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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Pedestrian dynamics modeling and social force analysis based on object detection by Fangyan Yang, Rong Liu, Daoyu Zhu

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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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Matching Game Preferences Through Dialogical Large Language Models: A Perspective by Renaud Fabre, Daniel Egret, Patrice Bellot

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Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network by Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li

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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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A theoretical perspective on mode collapse in variational inference by Roman Soletskyi, Marylou Gabrié, Bruno Loureiro

Subjects: “…variational inference…”
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