Artykuły udostępnione publicznie: - Bipin RajendranWięcej informacji
Niedostępne w żadnym miejscu: 8
Arbitrary spike time dependent plasticity (STDP) in memristor by analog waveform engineering
N Panwar, B Rajendran, U Ganguly
IEEE Electron Device Letters 38 (6), 740-743, 2017
Upoważnienia: Department of Science & Technology, India
Computational memory-based inference and training of deep neural networks
A Sebastian, I Boybat, M Dazzi, I Giannopoulos, V Jonnalagadda, V Joshi, ...
2019 Symposium on VLSI Technology, T168-T169, 2019
Upoważnienia: European Commission
Impact of conductance drift on multi-PCM synaptic architectures
I Boybat, SR Nandakumar, M Le Gallo, B Rajendran, Y Leblebici, ...
2018 Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2018
Upoważnienia: Swiss National Science Foundation
On pairing of bipolar RRAM memory with NPN selector based on set/reset array power considerations
R Mandapati, A Borkar, VSS Srinivasan, P Bafna, P Karkare, S Lodha, ...
IEEE transactions on nanotechnology 12 (6), 1178-1184, 2013
Upoważnienia: Department of Science & Technology, India
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance
S Santurkar, B Rajendran
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Upoważnienia: Department of Science & Technology, India
Acceleration of convolutional networks using nanoscale memristive devices
SR Kulkarni, AV Babu, B Rajendran
Engineering Applications of Neural Networks: 19th International Conference …, 2018
Upoważnienia: US National Science Foundation
An efficient synaptic architecture for artificial neural networks
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Tuma, B Rajendran, ...
2017 17th Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2017
Upoważnienia: Swiss National Science Foundation
Heterogeneous Embedded Neural Processing Units Utilizing PCM-Based Analog In-Memory Computing
I Boybat, T Boesch, M Allegra, M Baldo, JJ Bertolini-Agnoletto, GW Burr, ...
2024 IEEE International Electron Devices Meeting (IEDM), 1-4, 2024
Upoważnienia: European Commission
Dostępne w jakimś miejscu: 37
Neuromorphic computing with multi-memristive synapses
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications 9 (1), 2514, 2018
Upoważnienia: Swiss National Science Foundation, European Commission
Accurate deep neural network inference using computational phase-change memory
V Joshi, M Le Gallo, S Haefeli, I Boybat, SR Nandakumar, C Piveteau, ...
Nature communications 11 (1), 2473, 2020
Upoważnienia: European Commission
Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing
A Mehonic, A Sebastian, B Rajendran, O Simeone, E Vasilaki, AJ Kenyon
Advanced Intelligent Systems 2 (11), 2000085, 2020
Upoważnienia: UK Engineering and Physical Sciences Research Council, European Commission
Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization
SR Kulkarni, B Rajendran
Neural Networks 103, 118-127, 2018
Upoważnienia: US National Science Foundation
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches
B Rajendran, A Sebastian, M Schmuker, N Srinivasa, E Eleftheriou
IEEE Signal Processing Magazine, 2019
Upoważnienia: US National Science Foundation, European Commission
A phase-change memory model for neuromorphic computing
SR Nandakumar, M Le Gallo, I Boybat, B Rajendran, A Sebastian, ...
Journal of Applied Physics 124, 152135, 2018
Upoważnienia: US National Science Foundation, European Commission
Mixed-precision deep learning based on computational memory
SR Nandakumar, M Le Gallo, C Piveteau, V Joshi, G Mariani, I Boybat, ...
Frontiers in neuroscience 14, 406, 2020
Upoważnienia: European Commission
A 250 mV Cu/SiO2/W Memristor with Half-Integer Quantum Conductance States
SR Nandakumar, M Minvielle, S Nagar, C Dubourdieu, B Rajendran
Nano letters 16 (3), 1602-1608, 2016
Upoważnienia: Department of Science & Technology, India
Experimental demonstration of supervised learning in spiking neural networks with phase-change memory synapses
SR Nandakumar, I Boybat, M Le Gallo, E Eleftheriou, A Sebastian, ...
Scientific reports 10 (1), 8080, 2020
Upoważnienia: US National Science Foundation, European Commission
Reducing read latency of phase change memory via early read and turbo read
PJ Nair, C Chou, B Rajendran, MK Qureshi
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
Upoważnienia: Department of Science & Technology, India
Building brain-inspired computing systems: Examining the role of nanoscale devices
SR Nandakumar, SR Kulkarni, AV Babu, B Rajendran
IEEE Nanotechnology Magazine 12 (3), 19-35, 2018
Upoważnienia: US National Science Foundation
Adversarial training for probabilistic spiking neural networks
A Bagheri, O Simeone, B Rajendran
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
Upoważnienia: US National Science Foundation, European Commission
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