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Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge
  Prediction

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction

1 June 2022
Luca Biggio
Tommaso Bendinelli
Chetan S. Kulkarni
Olga Fink
ArXivPDFHTML

Papers citing "Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction"

5 / 5 papers shown
Title
Smart filter aided domain adversarial neural network for fault diagnosis
  in noisy industrial scenarios
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai
Gaëtan Frusque
Tianfu Li
Qi Li
Olga Fink
AI4CE
22
0
0
04 Jul 2023
Machine learning pipeline for battery state of health estimation
Machine learning pipeline for battery state of health estimation
D. Roman
Saurabh Saxena
Valentin Robu
Michael G. Pecht
David Flynn
26
374
0
01 Feb 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,876
0
14 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
282
9,136
0
06 Jun 2015
1