Table of works
Frequent tags in this search: neural:14 network:7 networks:6 training:4 accelerator:3 multiplier:3 bayesian:2 convolutional:2 deep:2 efficient:2 floating-point:2 fpga:2 logarithm-approximate:2 :1 activations:1 adapting:1 analog:1 analysis:1 applicable:1 b2n2:1 bernoulli:1 booth:1 bynqnet:1 cascsde:1 comparison:1 crossbar-based:1 data:1 detection:1 digital:1 dynamics:1
14 publications are found. : URL for this page. : HTML
| Author (author) | Title (title) | Journal/Conference | Volume / Number | Pages (pages) | Published date | Impact factor / Acceptance | File | |
|---|---|---|---|---|---|---|---|---|
| Academic Journal |
, , , , , , M. Hashimoto |
Reliability Exploration of System-On-Chip with Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks |
IEEE Transactions on Circuits and Systems I: Regular Papers | 70(10) |
3978 -- 3991 |
October 2023 |
pdf | |
| Academic Journal |
, , , , , M. Hashimoto |
A Low-Power Sparse Convolutional Neural Network Accelerator with Pre-Encoding Radix-4 Booth Multiplier |
IEEE Transactions on Circuits and Systems II | 70(6) |
2246 - 2250 |
June 2023 |
pdf | |
| Academic Journal |
, M. Hashimoto |
B2N2: Resource Efficient Bayesian Neural Network Accelerator Using Bernoulli Sampler on FPGA |
Integration, the VLSI Journal | 89 |
1-8 |
March 2023 |
pdf | |
| Academic Journal |
, Y. Masuda, J. Chen, J. Yu, M. Hashimoto |
Logarithm-Approximate Floating-Point Multiplier Is Applicable to Power-Efficient Neural Network Training |
Integration, the VLSI Journal | 74 |
19--31 |
September 2020 |
pdf | |
| International Conference |
, , , , , , , , W. Liao, , T. Sato, , M. Hashimoto |
A Radiation-Hardened Neuromorphic Imager with Self-Healing Spiking Pixels and Unified Spiking Neural Network for Space Robotics |
Digest of Symposium on VLSI Technology and Circuits | June 2025 |
pdf | |||
| International Conference |
, M. Hashimoto |
Performance Comparison of Memristor Crossbar-Based Analog and Fpga-Based Digital Weight-Memory-Less Neural Networks |
Proceedings of IEEE International Conference on Rebooting Computing (ICRC) | December 2023 |
pdf | |||
| International Conference |
Y. Zhang, , , , , M. Hashimoto |
Fault Mode Analysis of Neural Network-Based Object Detection on GPUs with Neutron Irradiation Test |
Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS) | October 2020 |
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| International Conference |
, J. Yu, M. Hashimoto |
Memory Efficient Training Using Lookup-Table-Based Quantization for Neural Network |
Proceedings of International Conference on Artificial Intelligence Circuits and Systems (AICAS) | August 2020 |
pdf | |||
| International Conference |
, M. Hashimoto |
BYNQNet: Bayesian Neural Network with Quadratic Activations for Sampling-Free Uncertainty Estimation on FPGA |
Proceedings of Design, Automation and Test in Europe Conference (DATE) | April 2020 |
pdf | |||
| International Conference |
, , W. Liao, M. Hashimoto |
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies |
Proceedings of Asia and South Pacific Design Automation Conference (ASP-DAC) | January 2020 |
pdf | |||
| International Conference |
, J. Yu, M. Hashimoto |
Training Data Reduction Using Support Vectors for Neural Networks |
Proceedings of Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (ASC) | November 2019 |
pdf | |||
| International Conference |
, J. Yu, M. Hashimoto |
Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier |
Proceedings of International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) | July 2019 |
pdf | |||
| International Conference |
, J. Yu, M. Hashimoto |
Adapting Soft Cascade to Mac Operations of Convolutional Neural Networks |
Proceedings of International Symposium on Multimedia and Communication Technology (ISMAC) | August 2018 |
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| Book |
|
Photonic Neural Networks with Spatiotemporal Dynamics |
Springer Singapore | October 2023 |