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Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery.

, , , , , , and . IEEE J. Sel. Top. Signal Process., 10 (7): 1238-1253 (2016)

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Learning Disentangled Behavior Embeddings., , , , , , , and . NeurIPS, page 22562-22573. (2021)Visualizing the PHATE of Neural Networks., , , and . NeurIPS, page 1840-1851. (2019)The Numerical Stability of Hyperbolic Representation Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24925-24949. PMLR, (2023)Iterative diffusion-based anomaly detection., and . ICASSP, page 1682-1686. IEEE, (2017)Multiscale anomaly detection using diffusion maps and saliency score., and . ICASSP, page 2823-2827. IEEE, (2014)Comparing Graph Transformers via Positional Encodings., , , , and . ICML, OpenReview.net, (2024)SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States., , and . ICML, OpenReview.net, (2024)Data-Driven Tree Transforms and Metrics., , , , and . CoRR, (2017)Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery., , , , , , and . IEEE J. Sel. Top. Signal Process., 10 (7): 1238-1253 (2016)Co-manifold learning with missing data., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4605-4614. PMLR, (2019)