Lorenzo Stella

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Multivariate Time Series

Learning Algorithm

Top Venues

Comput. Optim. Appl.

Publications

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
Chronos: Learning the Language of Time Series. CoRR (2024)
Syama Sundar Rangapuram, Jan Gasthaus, Lorenzo Stella, Valentin Flunkert, David Salinas, Yuyang Wang, Tim Januschowski
Deep Non-Parametric Time Series Forecaster. CoRR (2023)
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. 55 (6) (2023)
Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR (2023)
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82 (2) (2022)
Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS (2020)
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
GluonTS: Probabilistic and Neural Time Series Modeling in Python. J. Mach. Learn. Res. 21 (2020)
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
Neural forecasting: Introduction and literature overview. CoRR (2020)
Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. CoRR (2020)
Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. ICSOC Workshops (2020)
Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference (2020)
Massimiliano Anselmi, Paolo Calligari, Jochen S. Hub, Marco Tartaglia, Gianfranco Bocchinfuso, Lorenzo Stella
Structural Determinants of Phosphopeptide Binding to the N-Terminal Src Homology 2 Domain of the SHP2 Phosphatase. J. Chem. Inf. Model. 60 (6) (2020)
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 64 (2) (2019)
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
GluonTS: Probabilistic Time Series Models in Python. CoRR (2019)
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. 28 (3) (2018)
Erica Ciotta, Paolo Prosposito, Pietro Tagliatesta, Chiara Lorecchio, Lorenzo Stella, Saulius Kaciulis, Peiman Soltani, Ernesto Placidi, Roberto Pizzoferrato
Discriminating between Different Heavy Metal Ions with Fullerene-Derived Nanoparticles. Sensors 18 (5) (2018)
Syama Sundar Rangapuram, Matthias W. Seeger, Jan Gasthaus, Lorenzo Stella, Yuyang Wang, Tim Januschowski
Deep State Space Models for Time Series Forecasting. NeurIPS (2018)
Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos
A simple and efficient algorithm for nonlinear model predictive control. CDC (2017)
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. 67 (3) (2017)
Puya Latafat, Lorenzo Stella, Panagiotis Patrinos
New primal-dual proximal algorithm for distributed optimization. CDC (2016)
Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad
Douglas-rachford splitting: Complexity estimates and accelerated variants. CDC (2014)