Alberto Marchisio

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Muhammad ShafiqueProfessor, ECE, New York University (AD-UAE, Tandon-USA), Director eBRAIN LabEmail yang diverifikasi di nyu.edu
Maurizio MartinaDipartimento di Elettronica e Telecomunicazioni, Politecnico di TorinoEmail yang diverifikasi di polito.it
Guido MaseraProfessor of Electronics, Politecnico di TorinoEmail yang diverifikasi di polito.it
Muhammad Abdullah HanifPostdoctoral Associate, New York University, Abu DhabiEmail yang diverifikasi di nyu.edu
Beatrice BussolinoPh.D. student, Politecnico di TorinoEmail yang diverifikasi di polito.it
Vojtech MrazekAssistant professor & researcher, Brno University of TechnologyEmail yang diverifikasi di fit.vutbr.cz
Faiq KhalidPh.D. Scholar, Technische Universität Wien, Vienna, AustriaEmail yang diverifikasi di tuwien.ac.at
Rachmad V. W. PutraResearch Team Leader @ eBRAIN Lab, New York University (NYU) Abu Dhabi & Technische Universität WienEmail yang diverifikasi di nyu.edu
Alessio ColucciEmbedded Computing Systems, Institute of Computer Engineering, TU WienEmail yang diverifikasi di tuwien.ac.at
M. BENNAIUniversité Hassan II de CasablancaEmail yang diverifikasi di univh2c.ma
Nouhaila InnanResearch Team Lead @ eBRAIN Lab, Post-Doctoral Associate, New York University Abu DhabiEmail yang diverifikasi di nyu.edu
Andrea MassaPolitecnico di TorinoEmail yang diverifikasi di studenti.polito.it
Ihsen AlouaniCSIT, Queen's University Belfast, UKEmail yang diverifikasi di qub.ac.uk
Semeen RehmanAssociate Professor University of Amsterdam (UvA); Privatdozentin (TU Wien)Email yang diverifikasi di uva.nl
George PlastirasKIOS Research and Innovation Center of Excellence, University of CyprusEmail yang diverifikasi di ucy.ac.cy
Theocharis (Theo) TheocharidesAssociate Professor, ECE , KIOS Research and Innovation Center of Excellence, University of CyprusEmail yang diverifikasi di ucy.ac.cy
Christos KyrkouKIOS Research and Innovation Center of Excellence, University of CyprusEmail yang diverifikasi di ucy.ac.cy
Walid El MaouakiUniversity Hassan IIEmail yang diverifikasi di etu.univh2c.ma
Rehan HafizInformation Technology University (ITU), Lahore, PakistanEmail yang diverifikasi di itu.edu.pk
Jorge Manuel Miranda DiasProfessor of Robotics and AIEmail yang diverifikasi di ku.ac.ae

Ikuti

Alberto Marchisio

Research Team Lead @ eBRAIN Lab | Post-Doctoral Associate, New York University Abu Dhabi, UAE

Email yang diverifikasi di nyu.edu

machine learning hardware design neuromorphic computing quantum computing


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead M Capra, B Bussolino, A Marchisio, G Masera, M Martina, M Shafique IEEE Access 8, 225134-225180, 2020	230	2020
An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks M Capra, B Bussolino, A Marchisio, M Shafique, G Masera, M Martina Future Internet 12 (7), 113, 2020	208	2020
An efficient spiking neural network for recognizing gestures with a dvs camera on the loihi neuromorphic processor R Massa, A Marchisio, M Martina, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020	132	2020
Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges A Marchisio, MA Hanif, F Khalid, G Plastiras, C Kyrkou, T Theocharides, ... 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 553-559, 2019	99	2019
Carsnn: An efficient spiking neural network for event-based autonomous cars on the loihi neuromorphic research processor A Viale, A Marchisio, M Martina, G Masera, M Shafique 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021	65	2021
NASCaps: A framework for neural architecture search to optimize the accuracy and hardware efficiency of convolutional capsule networks A Marchisio, A Massa, V Mrazek, B Bussolino, M Martina, M Shafique Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020	63	2020
Is spiking secure? a comparative study on the security vulnerabilities of spiking and deep neural networks A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	51*	2020
Securing deep spiking neural networks against adversarial attacks through inherent structural parameters R El-Allami, A Marchisio, M Shafique, I Alouani 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 774-779, 2021	47	2021
Towards energy-efficient and secure edge AI: A cross-layer framework ICCAD special session paper M Shafique, A Marchisio, RVW Putra, MA Hanif 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021	46	2021
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks A Marchisio, G Nanfa, F Khalid, MA Hanif, M Martina, M Shafique Microprocessors and Microsystems 96, 104738, 2023	43*	2023
Neuroattack: Undermining spiking neural networks security through externally triggered bit-flips V Venceslai, A Marchisio, I Alouani, M Martina, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	40	2020
Capsacc: An efficient hardware accelerator for capsulenets with data reuse A Marchisio, MA Hanif, M Shafique 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 964-967, 2019	39	2019
Dvs-attacks: Adversarial attacks on dynamic vision sensors for spiking neural networks A Marchisio, G Pira, M Martina, G Masera, M Shafique 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021	36	2021
X-DNNs: Systematic cross-layer approximations for energy-efficient deep neural networks MA Hanif, A Marchisio, T Arif, R Hafiz, S Rehman, M Shafique Journal of Low Power Electronics 14 (4), 520-534, 2018	32	2018
PruNet: Class-blind pruning method for deep neural networks A Marchisio, MA Hanif, M Martina, M Shafique 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	27	2018
Q-capsnets: A specialized framework for quantizing capsule networks A Marchisio, B Bussolino, A Colucci, M Martina, G Masera, M Shafique 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020	25	2020
SwiftTron: An efficient hardware accelerator for quantized transformers A Marchisio, D Dura, M Capra, M Martina, G Masera, M Shafique 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023	23	2023
FasTrCaps: An integrated framework for fast yet accurate training of capsule networks A Marchisio, B Bussolino, A Colucci, MA Hanif, M Martina, G Masera, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	22*	2020
A survey on quantum machine learning: Current trends, challenges, opportunities, and the road ahead K Zaman, A Marchisio, MA Hanif, M Shafique arXiv preprint arXiv:2310.10315, 2023	21	2023
A methodology for automatic selection of activation functions to design hybrid deep neural networks A Marchisio, MA Hanif, S Rehman, M Martina, M Shafique arXiv preprint arXiv:1811.03980, 2018	20	2018

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