Yasufumi Sakai

Orcid: 0000-0001-7135-9449

According to our database1, Yasufumi Sakai authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Structured Pruning with Automatic Pruning Rate Derivation for Image Processing Neural Networks.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Channel-wise quantization without accuracy degradation using Δloss analysis.
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

Regularizing Data for Improving Execution Time of NLP Model.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
A High-Speed Neural Architecture Search Considering the Number of Weights.
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing.
Proceedings of the Ninth International Symposium on Computing and Networking, 2021

Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization.
Proceedings of the Asian Conference on Machine Learning, 2021

2019
Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2016
A 28.3 Gb/s 7.3 pJ/bit 35 dB backplane transceiver with eye sampling phase adaptation in 28 nm CMOS.
Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016

3.5 A 56Gb/s NRZ-electrical 247mW/lane serial-link transceiver in 28nm CMOS.
Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016

2014
A 1.95 GHz Fully Integrated Envelope Elimination and Restoration CMOS Power Amplifier Using Timing Alignment Technique for WCDMA and LTE.
IEEE J. Solid State Circuits, 2014

3.2 A 1.95GHz fully integrated envelope elimination and restoration CMOS power amplifier with envelope/phase generator and timing aligner for WCDMA and LTE.
Proceedings of the 2014 IEEE International Conference on Solid-State Circuits Conference, 2014


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