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Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.

U. Shin, M. Ishii, A. Okazaki, M. Ito, M. Rasch, W. Kim, A. Nomura, W. Choi, D. Koh, K. Hosokawa, M. BrightSky, S. Munetoh, and S. Kim. Adv. Intell. Syst., (2022)

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Jürgen J Rasch

Malte J Deventer

Armin Malter

Other publications of authors with the same name

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators.M. Rasch, C. Mackin, M. Gallo, A. Chen, A. Fasoli, F. Odermatt, N. Li, S. Nandakumar, P. Narayanan, H. Tsai and 3 other author(s). CoRR, (2023)Towards Exact Gradient-based Training on Analog In-memory Computing.Z. Wu, T. Gokmen, M. Rasch, and T. Chen. CoRR, (2024)Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.C. Lammie, A. Vasilopoulos, J. Büchel, G. Camposampiero, M. Gallo, M. Rasch, and A. Sebastian. ISCAS, page 1-5. IEEE, (2024)Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices.K. Spoon, H. Tsai, A. Chen, M. Rasch, S. Ambrogio, C. Mackin, A. Fasoli, A. Friz, P. Narayanan, M. Stanisavljevic and 1 other author(s). Frontiers Comput. Neurosci., (2021)Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation.V. Kalantzis, M. Squillante, S. Ubaru, T. Gokmen, C. Wu, A. Gupta, H. Avron, T. Nowicki, M. Rasch, O. Onen and 5 other author(s). CoRR, (2024)Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.M. Ito, M. Rasch, M. Ishii, A. Okazaki, S. Kim, J. Okazawa, A. Nomura, K. Hosokawa, and W. Haensch. ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 185-194. Springer, (2019)AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.H. Benmeziane, C. Lammie, I. Boybat, M. Rasch, M. Gallo, H. Tsai, R. Muralidhar, S. Niar, H. Ouarnoughi, V. Narayanan and 2 other author(s). EDGE, page 233-244. IEEE, (2023)Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila.D. Zhang, Y. Li, S. Wu, and M. Rasch. Frontiers Comput. Neurosci., (2013)Analog AI as a Service: A Cloud Platform for In-Memory Computing.K. Maghraoui, K. Tran, K. Ruby, B. Godoy, J. Murray, M. Gallo-Bourdeau, T. Deshane, P. Gonzalez, D. Moreda, H. Benmeziane and 5 other author(s). SSE, page 43-53. IEEE, (2024)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).H. Tsai, P. Narayanan, S. Jain, S. Ambrogio, K. Hosokawa, M. Ishii, C. Mackin, C. Chen, A. Okazaki, A. Nomura and 13 other author(s). ISCAS, page 1-5. IEEE, (2023)

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Disambiguation of "Rasch, Malte J."

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Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.

Please choose a person to relate this publication to

Jürgen J Rasch

Jürgen J Rasch

Jürgen J Rasch

Malte J Deventer

Armin Malter

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rasch, Malte J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.

Please choose a person to relate this publication to

Jürgen J Rasch

Jürgen J Rasch

Jürgen J Rasch

Malte J Deventer

Armin Malter

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.