David Salinas
发表
André Lieutier,
Dominique Attali,
David Salinas,
2012,
Int. J. Comput. Geom. Appl..
Julio Delgado,
Ramesh Nallapati,
Edo Liberty,
2020,
SIGMOD Conference.
Syama Sundar Rangapuram,
Danielle C. Maddix,
Ali Caner Türkmen,
2019
.
David Salinas,
2013
.
Muhammad Bilal Zafar,
Michele Donini,
David Salinas,
2021,
ArXiv.
Syama Sundar Rangapuram,
Danielle C. Maddix,
Bernie Wang,
2022,
ACM Computing Surveys.
C. Archambeau,
M. Seeger,
Aaron Klein,
2022,
AutoML.
Syama Sundar Rangapuram,
Danielle C. Maddix,
Bernie Wang,
2020,
ACM Comput. Surv..
Syama Sundar Rangapuram,
Konstantinos Benidis,
Michael Bohlke-Schneider,
2020,
ArXiv.
Michael Bohlke-Schneider,
David Salinas,
Jan Gasthaus,
2019,
NeurIPS.
Valentin Flunkert,
David Salinas,
Jan Gasthaus,
2017,
International Journal of Forecasting.
Giovanni Zappella,
David Salinas,
C'edric Archambeau,
2021,
ArXiv.
Michael Bohlke-Schneider,
Tim Januschowski,
Valentin Flunkert,
2020,
International Journal of Forecasting.
Syama Sundar Rangapuram,
Konstantinos Benidis,
Michael Bohlke-Schneider,
2020,
J. Mach. Learn. Res..
Joos-Hendrik Böse,
Matthias W. Seeger,
Tim Januschowski,
2017,
Proc. VLDB Endow..
Felix Bießmann,
Tim Januschowski,
Sebastian Schelter,
2018,
IEEE Data Eng. Bull..
C. Archambeau,
M. Seeger,
Aaron Klein,
2023,
2305.03623.
Syama Sundar Rangapuram,
Konstantinos Benidis,
Tim Januschowski,
2019,
AISTATS.
Felix Bießmann,
Dustin Lange,
Sebastian Schelter,
2018,
CIKM.
David Salinas,
Valentin Flunkert,
Tim Januschowski,
2022,
ArXiv.
Thao Dang,
David Salinas,
T. Dang,
2009,
CAV.
Matthias W. Seeger,
Valentin Flunkert,
David Salinas,
2016,
NIPS.
Florent Lafarge,
Pierre Alliez,
David Salinas,
2015,
Comput. Graph. Forum.
Syama Sundar Rangapuram,
Yuyang Wang,
Konstantinos Benidis,
2019,
ArXiv.
Cedric Archambeau,
Matthias Seeger,
Riccardo Grazzi,
2021,
ArXiv.
Sebastian Schelter,
David Salinas,
Felix Biessmann,
2019,
J. Mach. Learn. Res..
David Salinas,
Valerio Perrone,
Huibin Shen,
2020,
ICML.
André Lieutier,
Dominique Attali,
David Salinas,
2011,
SoCG '11.
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
pdf
Tim Januschowski,
Stephan Rabanser,
Valentin Flunkert,
2020,
ArXiv.
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
pdf
Matthias W. Seeger,
Syama Sundar Rangapuram,
Yuyang Wang,
2017,
ArXiv.
André Lieutier,
Dominique Attali,
David Salinas,
2013
.