Depth-first proof-number search with heuristic edge cost and application to chemical synthesis planning
- Akihiro Kishimoto
- Beat Buesser
- et al.
- 2019
- NeurIPS 2019
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27 results for Bei Chen
Forecasting uncertainty in electricity demand
- Tri K Wijaya
- Mathieu Sinn
- et al.
- 2015
- AAAI 2015
Mixing properties of conditional Markov Chains with unbounded feature functions
- Mathieu Sinn
- Bei Chen
- 2012
- NeurIPS 2012
Structured Dimensionality Reduction for Additive Model Regression
- Alhussein Fawzi
- Jean-Baptiste Fiot
- et al.
- 2016
- IEEE TKDE
AutoAI-TS: AutoAI for Time Series Forecasting
- Syed Yousaf Shah
- Dhaval Patel
- et al.
- 2021
- SIGMOD 2021
Recurrent neural networks for autoregressive moving average model selection
- Bei Chen
- Beat Buesser
- et al.
- 2019
- ICBK 2019
Castor: Contextual IoT time series data and model management at scale
- Bei Chen
- Bradley Eck
- et al.
- 2018
- ICDM 2018
A scalable demand and renewable energy forecasting system for distribution grids
- Vincent P. A. Lonij
- Jean-Baptiste Fiot
- et al.
- 2016
- PESGM 2016
Data management system for energy analytics and its application to forecasting
- Francesco Fusco
- Pascal Pompey
- et al.
- 2016
- EDBT/ICDT 2016
Understanding building operation from semantic context
- Anika Schumann
- Joern Ploennigs
- et al.
- 2015
- IECON 2015