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Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning., , , , , , , , и . MetaDL@AAAI, том 140 из Proceedings of Machine Learning Research, стр. 77-89. PMLR, (2021)Preface., , , , , , , , , и . TAG-ML, том 196 из Proceedings of Machine Learning Research, стр. 1-5. PMLR, (2022)Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools., и . CVPR Workshops, стр. 620-627. IEEE, (2023)Multi-Dimensional Scaling on Groups., и . ICCVW, стр. 4222-4227. IEEE, (2021)In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?, , , , , и . NeurIPS, (2022)Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics., , , и . ICMLA, стр. 276-281. IEEE, (2019)Random Filters for Enriching the Discriminatory power of Topological Representations., , , и . TAG-ML, том 196 из Proceedings of Machine Learning Research, стр. 183-188. PMLR, (2022)Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps., и . ICLR, OpenReview.net, (2022)Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets., , , и . IEEE BigData, стр. 1045-1051. IEEE, (2018)Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets., , , и . HPEC, стр. 1-7. IEEE, (2018)