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Trust-Region Variational Inference with Gaussian Mixture Models., , and . J. Mach. Learn. Res., (2020)Classifying EEG for brain computer interfaces using Gaussian processes., , , and . Pattern Recognit. Lett., 29 (3): 354-359 (2008)Nonintrusive Load Monitoring Based on Self-Supervised Learning., , , , and . IEEE Trans. Instrum. Meas., (2023)Transfer Learning for Non-Intrusive Load Monitoring., , and . CoRR, (2019)Algorithms to Calculate the Most Reliable Maximum Flow in Content Delivery Network., , , , and . Comput. Syst. Sci. Eng., 41 (2): 699-715 (2022)Causal Effect Estimation Using Variational Information Bottleneck., , , , , and . WISA, volume 13579 of Lecture Notes in Computer Science, page 288-296. Springer, (2022)Scale-free network model under exogenous pressures., , and . Int. J. Model. Identif. Control., 3 (1): 79-82 (2008)Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning., , , and . NILM@SenSys, page 11-15. ACM, (2020)Trust-Region Variational Inference with Gaussian Mixture Models., , and . CoRR, (2019)Towards reproducible state-of-the-art energy disaggregation., , , , , , , , and . BuildSys@SenSys, page 193-202. ACM, (2019)