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Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps., , , , , , , , and . TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 79-85. PMLR, (2022)TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data., , and . CVPR Workshops, page 600-609. IEEE, (2023)On the Symmetries of Deep Learning Models and their Internal Representations., , , and . NeurIPS, (2022)Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis., , , , , and . ICMLA, page 403-408. IEEE, (2021)Data-Driven Invertible Neural Surrogates of Atmospheric Transmission., , , , and . CoRR, (2024)Persistence Images: A Stable Vector Representation of Persistent Homology., , , , , , , , , and . J. Mach. Learn. Res., (2017)Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing., , , , and . CoRR, (2023)Do neural networks trained with topological features learn different internal representations?, , , and . NeurReps, volume 197 of Proceedings of Machine Learning Research, page 122-136. PMLR, (2022)Preface., , , , , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2023)TopTemp: Parsing Precipitate Structure from Temper Topology., , , , and . TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 199-205. PMLR, (2022)