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Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs.

, , , , , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 650-659. Springer, (2020)

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A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction., , , , , , and . ICASSP, page 544-548. IEEE, (2016)On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder., , , , , and . CoRR, (2019)Unsupervised Anomaly Detection on Microservice Traces through Graph VAE., , , , , , , and . WWW, page 2874-2884. ACM, (2023)Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE., , , , , , , and . INFOCOM, page 1891-1899. IEEE, (2019)A Lightweight and Multi-Branch Module in Facial Semantic Segmentation Feature Extraction., , , , , and . IEEE Access, (2024)Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis., , , , , , , , , and . CCGrid, page 77-86. IEEE, (2024)Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs., , , , , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 650-659. Springer, (2020)SVR based double-scale regression for dynamic emotion prediction in music., , , , , , and . ICASSP, page 549-553. IEEE, (2016)VAEPP: Variational Autoencoder with a Pull-Back Prior., , , , and . ICONIP (3), volume 12534 of Lecture Notes in Computer Science, page 366-379. Springer, (2020)Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder., , and . IPCCC, page 1-9. IEEE, (2018)