Jan Gasthaus
Jan Gasthaus
Gatsby Computational Neuroscience Unit, UCL
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
D Salinas, V Flunkert, J Gasthaus, T Januschowski
International Journal of Forecasting 36 (3), 1181-1191, 2020
1302020
A stochastic memoizer for sequence data
F Wood, C Archambeau, J Gasthaus, L James, YW Teh
Proceedings of the 26th annual international conference on machine learning …, 2009
1112009
The sequence memoizer
F Wood, J Gasthaus, C Archambeau, L James, YW Teh
Communications of the ACM 54 (2), 91-98, 2011
712011
Deep state space models for time series forecasting
SS Rangapuram, MW Seeger, J Gasthaus, L Stella, Y Wang, ...
Advances in neural information processing systems, 7785-7794, 2018
702018
Dependent Dirichlet process spike sorting
J Gasthaus, F Wood, D Gorur, YW Teh
Advances in neural information processing systems, 497-504, 2009
482009
Probabilistic demand forecasting at scale
JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ...
Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017
442017
Lossless compression based on the Sequence Memoizer
J Gasthaus, F Wood, YW Teh
2010 Data Compression Conference, 337-345, 2010
352010
Improvements to the sequence memoizer
J Gasthaus, YW Teh
Advances in Neural Information Processing Systems, 685-693, 2010
282010
Forecasting big time series: old and new
C Faloutsos, J Gasthaus, T Januschowski, Y Wang
Proceedings of the VLDB Endowment 11 (12), 2102-2105, 2018
222018
Probabilistic forecasting with spline quantile function rnns
J Gasthaus, K Benidis, Y Wang, SS Rangapuram, D Salinas, V Flunkert, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
192019
Deep factors for forecasting
Y Wang, A Smola, DC Maddix, J Gasthaus, D Foster, T Januschowski
arXiv preprint arXiv:1905.12417, 2019
182019
Criteria for classifying forecasting methods
T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ...
International Journal of Forecasting 36 (1), 167-177, 2020
172020
Gluonts: Probabilistic time series models in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
152019
FIASCO: Filtering the internet by automatic subtree classification, osnabruck
D Bauer, J Degen, X Deng, P Herger, J Gasthaus, E Giesbrecht, L Jansen, ...
Building and Exploring Web Corpora: Proceedings of the 3rd Web as Corpus …, 2007
142007
GP-select: Accelerating EM using adaptive subspace preselection
JA Shelton, J Gasthaus, Z Dai, J Lücke, A Gretton
Neural Computation 29 (8), 2177-2202, 2017
132017
Spike sorting using time-varying DIRICHLET process mixture models
JA Gasthaus, F Wood
PhD thesis. University College London, London, 2008
102008
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
D Salinas, M Bohlke-Schneider, L Callot, R Medico, J Gasthaus
Advances in Neural Information Processing Systems, 6827-6837, 2019
82019
Now available in amazon sagemaker: Deepar algorithm for more accurate time series forecasting
T Januschowski, D Arpin, D Salinas, V Flunkert, J Gasthaus, L Stella, ...
82018
Forecasting big time series: Theory and practice
C Faloutsos, V Flunkert, J Gasthaus, T Januschowski, Y Wang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
62019
Approximate bayesian inference in linear state space models for intermittent demand forecasting at scale
M Seeger, S Rangapuram, Y Wang, D Salinas, J Gasthaus, ...
arXiv preprint arXiv:1709.07638, 2017
62017
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