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Chronos: Learning the Language of Time Series

A. Ansari, L. Stella, C. Turkmen, X. Zhang, P. Mercado, H. Shen, O. Shchur, S. Rangapuram, S. Arango, S. Kapoor, J. Zschiegner, D. Maddix, M. Mahoney, K. Torkkola, A. Wilson, M. Bohlke-Schneider, and Y. Wang. (2024)

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Lorenzo Cubillos

Lorenzo Zani

Lorenzo Pettazzi

Lorenzo Sguaitamatti

Lorenzo Guiducci

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Forward-backward quasi-Newton methods for nonsmooth optimization problems.L. Stella, A. Themelis, and P. Patrinos. Comput. Optim. Appl., 67 (3): 443-487 (2017)Structural Determinants of Phosphopeptide Binding to the N-Terminal Src Homology 2 Domain of the SHP2 Phosphatase.M. Anselmi, P. Calligari, J. Hub, M. Tartaglia, G. Bocchinfuso, and L. Stella. J. Chem. Inf. Model., 60 (6): 3157-3171 (2020)Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms.A. Themelis, L. Stella, and P. Patrinos. Comput. Optim. Appl., 82 (2): 395-440 (2022)Normalizing Kalman Filters for Multivariate Time Series Analysis.E. de Bézenac, S. Rangapuram, K. Benidis, M. Bohlke-Schneider, R. Kurle, L. Stella, H. Hasson, P. Gallinari, and T. Januschowski. NeurIPS, (2020)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.K. Benidis, S. Rangapuram, V. Flunkert, Y. Wang, D. Maddix, A. Türkmen, J. Gasthaus, M. Bohlke-Schneider, D. Salinas, L. Stella and 3 other author(s). ACM Comput. Surv., 55 (6): 121:1-121:36 (2023)Deep Non-Parametric Time Series Forecaster.S. Rangapuram, J. Gasthaus, L. Stella, V. Flunkert, D. Salinas, Y. Wang, and T. Januschowski. CoRR, (2023)Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models.F. Ayed, L. Stella, T. Januschowski, and J. Gasthaus. ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 97-109. Springer, (2020)GluonTS: Probabilistic Time Series Models in Python.A. Alexandrov, K. Benidis, M. Bohlke-Schneider, V. Flunkert, J. Gasthaus, T. Januschowski, D. Maddix, S. Rangapuram, D. Salinas, J. Schulz and 3 other author(s). CoRR, (2019)Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient.P. Latafat, A. Themelis, L. Stella, and P. Patrinos. CoRR, (2023)Newton-Type Alternating Minimization Algorithm for Convex Optimization.L. Stella, A. Themelis, and P. Patrinos. IEEE Trans. Automat. Contr., 64 (2): 697-711 (2019)

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Disambiguation of "Stella, Lorenzo"

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Chronos: Learning the Language of Time Series

Please choose a person to relate this publication to

Lorenzo Cubillos

Lorenzo Zani

Lorenzo Pettazzi

Lorenzo Sguaitamatti

Lorenzo Guiducci

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Stella, Lorenzo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Chronos: Learning the Language of Time Series

Please choose a person to relate this publication to

Lorenzo Cubillos

Lorenzo Zani

Lorenzo Pettazzi

Lorenzo Sguaitamatti

Lorenzo Guiducci

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Chronos: Learning the Language of Time Series