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Learning Group Importance using the Differentiable Hypergeometric Distribution., , , and . ICLR, OpenReview.net, (2023)Tree Variational Autoencoders., , , and . CoRR, (2023)Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072)., , , , and . Dagstuhl Reports, 13 (2): 47-70 (February 2023)DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds., , , , and . ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 194-212. PMLR, (2020)A Deep Variational Approach to Clustering Survival Data., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2022)Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps., , , and . CoRR, (2019)A Deep Variational Approach to Clustering Survival Data., , , , , , , , and . CoRR, (2021)Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms., , , , , , and . GCPR, volume 13485 of Lecture Notes in Computer Science, page 529-542. Springer, (2022)T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states., , , , , and . CHIL, page 236-245. ACM, (2021)Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models., , , , , and . CoRR, (2022)