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Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating., , and . WWW, page 883-892. ACM, (2018)State Space Gaussian Processes with Non-Gaussian Likelihood., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 3786-3795. PMLR, (2018)Robust Gyroscope-Aided Camera Self-Calibration., , and . FUSION, page 772-779. IEEE, (2018)Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER., , , , , , and . NeuroImage, 60 (2): 1517-1527 (2012)Unifying Probabilistic Models for Time-Frequency Analysis., , , , and . CoRR, (2018)End-to-End Probabilistic Inference for Nonstationary Audio Analysis., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6776-6785. PMLR, (2019)Computationally Efficient Bayesian Learning of Gaussian Process State Space Models., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 213-221. JMLR.org, (2016)Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming, , , , and . Statistics and Computing, (2022)Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions., and . MLSP, page 1-6. IEEE, (2014)Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders., , and . CoRR, (2019)