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L. Miguel Silveira
L. Miguel Silveira
IEEE Fellow, Prof. of ECE, INESC-ID / IST Técnico Lisboa, Universidade de Lisboa
在 inesc-id.pt 的电子邮件经过验证
标题
引用次数
年份
Echo State Networks for Accurate and Efficient Modeling of Dynamic Circuits
P Machado, R Barbulescu, LM Silveira
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024
2024
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
F Pavanello, C Marchand, I O’Connor, R Orobtchouk, F Mandorlo, ...
2023 IEEE European Test Symposium (ETS), 1-6, 2023
32023
Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks
R Barbulescu, G Mestre, AL Oliveira, LM Silveira
Scientific Reports 13 (1), 467, 2023
82023
General Chairs Message
F Aloul, LM Silveira
IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, 2023
2023
VLSI-SoC 2023 General Chairs
F Aloul, LM Silveira
IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, I-II, 2023
2023
Sistema de Visualização 3D de Circuitos Integrados Digitais utilizando VRML
C Zibreira, CP Coelho, J Valentim, LM Silveira, J Pereira
The Eurographics Association, 2023
2023
Machine Learning Techniques to Model Highly Nonlinear Multi-field Dynamics
R Barbulescu, G Ciuprina, A Duca, LM Silveira
International Conference on Scientific Computing in Electrical Engineering …, 2022
2022
5 Post-processing methods for passivity enforcement
S Grivet-Talocia, LM Silveira
Also of Interest, 139, 2021
2021
Black-box model reduction of the C. Elegans nervous system*
R Bărbulescu, LM Silveira
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
22021
Efficient model reduction of myelinated compartments as port-Hamiltonian systems
R Barbulescu, G Ciuprina, T Ionescu, D Ioan, LM Silveira
Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The …, 2021
2021
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data
G Mestre, R Barbulescu, AL Oliveira, LM Silveira
arXiv preprint arXiv:2107.06762, 2021
12021
LM (eds.): Model Order Reduction. Volume 3: Applications
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, WS Schilder
De Gruyter, 2021
62021
Model Order Reduction: Volume I: System-and Data-Driven Methods and Algorithms
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, W Schilders, ...
De Gruyter, 2021
62*2021
Preface to the first Volume of Model Order Reduction
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, W Schilders, ...
De Gruyter, 2021
2021
Model Order Reduction: Basic Concepts and Notation
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, W Schilders, ...
Model Order Reduction: Volume 1: System-and Data-Driven Methods and …, 2021
62021
Preface to the third Volume of Model Order Reduction
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, W Schilders, ...
2021
Applications: vol. 3: Applications
P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, WHA Schilders, ...
Walter de Gruyter GmbH, 2020
2020
Simplification by pruning as a model order reduction approach for RF-MEMS switches
G Ciuprina, D Ioan, AS Lup, LM Silveira, A Duca, M Kraft
COMPEL-The international journal for computation and mathematics in …, 2020
52020
Model Order Reduction: Volume 3 Applications
P Benner, W Schilders, S Grivet-Talocia, A Quarteroni, G Rozza, ...
De Gruyter, 2020
1972020
Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms
P Benner, W Schilders, S Grivet-Talocia, A Quarteroni, G Rozza, ...
De Gruyter, 2020
1402020
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