Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction-Reference-Cited by-同舟云学术

Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction

Published:2021-08-18 Issue: Volume: Page:
ISSN:
Container-title:17th International Symposium on Spatial and Temporal Databases
language:
Short-container-title:

Author:

Petkevicius Linas¹,Saltenis Simonas¹,Civilis Alminas¹,Torp Kristian²

Affiliation:

1. Vilnius University, Lithuania

2. Aalborg University, Denmark

Funder

European Regional Development Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469830.3470915

Reference34 articles.

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4. A. Dosovitskiy L. Beyer A. Kolesnikov D. Weissenborn X. Zhai T. Unterthiner M. Dehghani M. Minderer G. Heigold S. Gelly 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929(2020). A. Dosovitskiy L. Beyer A. Kolesnikov D. Weissenborn X. Zhai T. Unterthiner M. Dehghani M. Minderer G. Heigold S. Gelly 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929(2020).

5. I. Goodfellow Y. Bengio A. Courville and Y. Bengio. 2016. Deep learning. Vol. 1. MIT press Cambridge. I. Goodfellow Y. Bengio A. Courville and Y. Bengio. 2016. Deep learning. Vol. 1. MIT press Cambridge.

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