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川村一志 研究業績一覧 (10件)
論文
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Satoru Jimbo,
Daiki Okonogi,
Kota Ando,
Thiem Van Chu,
Jaehoon Yu,
Masato Motomura,
Kazushi Kawamura.
A Hybrid Integer Encoding Method for Obtaining High-quality Solutions of Quadratic Knapsack Problems on Solid-state Annealers,
IEICE Transactions on Information and Systems,
Vol. E105-D,
No. 12,
Dec. 2022.
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Kazutoshi Hirose,
Jaehoon Yu,
Kota Ando,
Yasuyuki Okoshi,
Angel Lopez Garcia-Arias,
Junnosuke Suzuki,
Thiem Van Chu,
Kazushi Kawamura,
Masato Motomura.
Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet,
International Solid-State Circuits Conference,
Feb. 2022.
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Junnosuke Suzuki,
Tomohiro Kaneko,
Kota Ando,
Kazutoshi Hirose,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura,
Jaehoon Yu.
ProgressiveNN: Achieving Computational Scalability with Dynamic Bit-Precision Adjustment by MSB-first Accumulative Computation,
International Journal of Networking and Computing,
July 2021.
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Shungo Kumazawa,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura,
Jaehoon Yu.
ExtraFerns: Fully Parallel Ensemble Learning Technique with Random Projection and Non-Greedy yet Minimal Memory Access Training,
International Journal of Networking and Computing,
July 2021.
国際会議発表 (査読有り)
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Yasuyuki Okoshi,
Angel Lopez Garcia-Arias,
Kazutoshi Hirose,
Kota Ando,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura,
Jaehoon Yu.
Multicoated Supermasks Enhance Hidden Networks,
International Conference on Machine Learning,
July 2022.
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Thiem Van Chu,
Ryuichi Kitajima,
Kazushi Kawamura,
Jaehoon Yu,
Masato Motomura.
A High-Performance and Flexible FPGA Inference Accelerator for Decision Forests Based on Prior Feature Space Partitioning,
International Conference on Field-Programmable Technology,
Dec. 2021.
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Kota Ando,
Jaehoon Yu,
Kazutoshi Hirose,
Hiroki Nakahara,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura.
Edge Inference Engine for Deep & Random Sparse Neural Networks with 4-bit Cartesian-Product MAC Array and Pipelined Activation Aligner,
Hot Chips,
Aug. 2021.
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Shungo Kumazawa,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura,
Jaehoon Yu.
ExtraFerns: Fully Parallel Ensemble Learning Technique with Non-Greedy yet Minimal Memory Access Training,
International Symposium on Computing and Networking (CANDAR),
Nov. 2020.
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Junnosuke Suzuki,
Kota Ando,
Kazutoshi Hirose,
Kazushi Kawamura,
Thiem Van Chu,
Masato Motomura,
Jaehoon Yu.
ProgressiveNN: Achieving Computational Scalability without Network Alteration by MSB-first Accumulative Computation,
International Symposium on Computing and Networking (CANDAR),
Nov. 2020.
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