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Superfluous Latent Space Pitfalls, and Speedup with KL AnnealingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Yuma Ichikawa Koji Hukushima |
 Conditioning Latent-Space Clusters for Real-World Anomaly ClassificationIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023 |
 MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected
ReconstructionPattern Recognition (Pattern Recogn.), 2023 |
 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion CurveInternational Conference on Learning Representations (ICLR), 2022 |
 Confidence-Aware Graph Neural Networks for Learning Reliability
Assessment CommitmentsIEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2022 |
 Deep Data Density Estimation through Donsker-Varadhan RepresentationAnnals of Mathematics and Artificial Intelligence (AMAI), 2021 |
