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Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks.

, , and . ACML, volume 77 of Proceedings of Machine Learning Research, page 161-176. PMLR, (2017)

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Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks., , and . ACML, volume 77 of Proceedings of Machine Learning Research, page 161-176. PMLR, (2017)Learned transform compression with optimized entropy encoding., , and . CoRR, (2021)Improving VAE generations of multimodal data through data-dependent conditional priors., , and . CoRR, (2019)Structured nonlinear variable selection., , and . CoRR, (2018)Large-Scale Nonlinear Variable Selection via Kernel Random Features., , , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 177-192. Springer, (2018)Forecasting and Granger Modelling with Non-linear Dynamical Dependencies., , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 544-558. Springer, (2017)Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data., , and . Entropy, 22 (8): 888 (2020)Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors., , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1254-1261. IOS Press, (2020)GrannGAN: Graph annotation generative adversarial networks., , and . CoRR, (2022)Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation., , , and . CoRR, (2023)