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2206.02555
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Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
1 June 2022
Luca Biggio
Tommaso Bendinelli
Chetan S. Kulkarni
Olga Fink
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Papers citing
"Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction"
15 / 15 papers shown
Title
Neural Symbolic Regression that Scales
Luca Biggio
Tommaso Bendinelli
Alexander Neitz
Aurelien Lucchi
Giambattista Parascandolo
91
180
0
11 Jun 2021
Machine learning pipeline for battery state of health estimation
D. Roman
Saurabh Saxena
Valentin Robu
Michael G. Pecht
David Flynn
52
386
0
01 Feb 2021
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
96
931
0
06 Oct 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
301
5,849
0
20 Jun 2020
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
901
42,463
0
28 May 2020
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
651
4,921
0
23 Jan 2020
Deep Learning for Symbolic Mathematics
Guillaume Lample
François Charton
3DGS
117
414
0
02 Dec 2019
Causality for Machine Learning
Bernhard Schölkopf
CML
AI4CE
LRM
100
464
0
24 Nov 2019
How to Fine-Tune BERT for Text Classification?
Chi Sun
Xipeng Qiu
Yige Xu
Xuanjing Huang
91
1,527
0
14 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
95,229
0
11 Oct 2018
Music Transformer
Cheng-Zhi Anna Huang
Ashish Vaswani
Jakob Uszkoreit
Noam M. Shazeer
Ian Simon
Curtis Hawthorne
Andrew M. Dai
Matthew D. Hoffman
Monica Dinculescu
Douglas Eck
214
486
0
12 Sep 2018
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
883
9,353
0
06 Jun 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
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