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A variational approximation for analyzing the dynamics of panel data.

, , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 107-117. AUAI Press, (2021)

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A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging., , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds., , , and . CoRR, (2021)Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis., , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 719-727. Springer, (2015)An Äugmentation-Free" Rotation Invariant Classification Scheme on Point-Cloud and Its Application to Neuroimaging., and . ISBI, page 713-716. IEEE, (2020)Flow-based Generative Models for Learning Manifold to Manifold Mappings., , , and . AAAI, page 11042-11052. AAAI Press, (2021)Dictionary Learning and Sparse Coding on Statistical Manifolds., , and . CoRR, (2018)Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework., , and . Int. J. Neural Syst., (2014)Genre-Based Classification of Song Using Perceptual Features., , , and . ICACNI, volume 243 of Advances in Intelligent Systems and Computing, page 267-276. Springer, (2013)Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning., , and . CVPR, page 801-809. IEEE Computer Society, (2017)Spatial Transformer for 3D Points., , and . CoRR, (2019)