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Coarse-grained and Emergent Distributed Parameter Systems from Data., , , and . ACC, page 4063-4068. IEEE, (2021)An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning., , , , , , , , , and . IEEE Access, (2018)NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps., , and . CoRR, (2020)Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems., , , , , and . CoRR, (2022)Global Heteroclinic Rebel Dynamics Among Large 2-Clusters in Permutation Equivariant Systems., , , and . SIAM J. Appl. Dyn. Syst., 20 (3): 1277-1319 (2021)Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification., , , and . CinC, page 1-4. IEEE, (2020)Coarse-grained and emergent distributed parameter systems from data., , , and . CoRR, (2020)Initializing LSTM internal states via manifold learning., , , , , and . CoRR, (2021)Learning emergent PDEs in a learned emergent space., , , , , , and . CoRR, (2020)The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks., , , , , and . ICASSP, page 1264-1268. IEEE, (2020)