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Disambiguation of "Gasthaus, Jan"

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Dependent Dirichlet Process Spike Sorting

, , , and . Advances in Neural Information Processing Systems (NIPS), (2009)

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Manfred Gasthaus

Leonhard Gasthaus

Matthias Ernst Gasthaus

Marion Agnes Gasthaus

Tsai-Yu Jansen

Einfluss der Konversion laparoskopischer Operationen auf Tumorwachstum, hepatische Metastasierung und Tumorangiogenese. Uni Heidelberg, (2010)
 

Other publications of authors with the same name

Neural forecasting: Introduction and literature overview., , , , , , , , , and 2 other author(s). CoRR, (2020)Deep State Space Models for Time Series Forecasting., , , , , and . NeurIPS, page 7796-7805. (2018)Forecasting Big Time Series: Theory and Practice., , , , and . KDD, page 3209-3210. ACM, (2019)Multivariate Quantile Function Forecaster., , , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10603-10621. PMLR, (2022)Dependent Dirichlet Process Spike Sorting, , , and . Advances in Neural Information Processing Systems (NIPS), (2009)Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale., , , , , , and . CoRR, (2017)End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8832-8843. PMLR, (2021)Forecasting Big Time Series: Theory and Practice., , , , and . WWW (Companion Volume), page 320-321. ACM / IW3C2, (2020)Lossless Compression Based on the Sequence Memoizer., , and . DCC, page 337-345. IEEE Computer Society, (2010)Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models., , , and . ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 97-109. Springer, (2020)