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Satoshi Yamane
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Publications
- 2024
- [j16]Shunya Kidera, Kosuke Shintani, Toi Tsuneda, Satoshi Yamane:
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning. IEEE Access 12: 19942-19951 (2024) - [i8]Ryoma Furuyama, Daiki Kuyoshi, Satoshi Yamane:
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator. CoRR abs/2401.16772 (2024) - 2022
- [j14]Yuta Suzuki, Daiki Kuyoshi, Satoshi Yamane:
Single and Ensemble CNN Models with Out-Category Penalty for Image Classification. Int. J. Netw. Comput. 12(2): 339-358 (2022) - [c73]Kuniyasu Imade, Taro Kiriyama, Satoshi Yamane:
Regularization to Suppress Mode Collapse in GANs Using Image Similarity. GCCE 2022: 635-636 - 2021
- [j13]Yuta Suzuki, Toshiki Hatano, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane:
An Image Classification Model that Learns Image Features and Numerical Information. Int. J. Netw. Comput. 11(2): 426-437 (2021) - [c69]Toi Tsuneda, Kuniyasu Imade, Kousuke Shintani, Satoshi Yamane:
Enhanced EVA with Threshold Limit of Similarity. GCCE 2021: 329-331 - [c68]Toshiki Hatano, Toi Tsuneda, Satoshi Yamane:
A study of DQN using VisionTransformer as an image extractor. GCCE 2021: 345-346 - [c67]Taro Kiriyama, Yajun Wu, Satoshi Yamane:
Reduction of Timer Interrupts for Embedded Assembly Programs Based on Reduction of Interrupt Handler Executions. GCCE 2021: 464-466 - [c66]Yuta Suzuki, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane:
A Classifier for Reducing Numerical Errors using Ensemble Method. GCCE 2021: 653-654 - [c63]Daiki Kuyoshi, Yuta Suzuki, Satoshi Yamane:
Proposal of Ephemeral Value Adjustment with Dimensionality Reduction in Deep Reinforcement Learning. GCCE 2021: 672-674 - [c61]Toi Tsuneda, Taro Kiriyama, Kousuke Shintani, Satoshi Yamane:
GANs with Suppressed Mode Collapse Using Intrinsic Rewards. CANDAR (Workshops) 2021: 187-192 - [c60]Yuta Suzuki, Daiki Kuyoshi, Satoshi Yamane:
Single and Ensemble CNN Models with Out-Category Penalty in Cifar 10. CANDAR (Workshops) 2021: 464-467 - [c59]Kuniyasu Imade, Toi Tsuneda, Satoshi Yamane, Kousuke Shintani, Taro Kiriyama:
Loss Function of GAN to Make a Clear Judgment. CANDAR (Workshops) 2021: 478-480 - [c58]Toshiki Hatano, Toi Tsuneda, Yuta Suzuki, Kuniyasu Imade, Kazuki Shesimo, Satoshi Yamane:
GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation. ICM 2021: 1-6 - 2020
- [j11]Yajun Wu, Satoshi Yamane:
Model Checking of Real-Time Properties for Embedded Assembly Program Using Real-Time Temporal Logic RTCTL and Its Application to Real Microcontroller Software. IEICE Trans. Inf. Syst. 103-D(4): 800-812 (2020) - [j10]Kazuki Seshimo, Akira Ota, Daichi Nishio, Satoshi Yamane:
Practical Evaluation of Online Heterogeneous Machine Learning. IEICE Trans. Inf. Syst. 103-D(12): 2620-2631 (2020) - [c57]Satoshi Yamane, Kosuke Uemura:
Comparative Experiment of SPIN and SMT in Model Checking of Embedded Assembly Program. GCCE 2020: 54-57 - [c56]Yajun Wu, Hiromu Kamide, Satoshi Yamane:
Software Model Checking for Real-time Properties of Embedded Assembly Programs Based on Lazy Abstraction and Refinement. GCCE 2020: 62-65 - [c55]Yuta Suzuki, Satoshi Yamane:
Transfer Learning Model for Image Segmentation by Integrating U-Net ++ and SE Block. GCCE 2020: 81-83 - [c54]Daiki Kuyoshi, Toi Tsuneda, Satoshi Yamane:
Rainbow with Episodic Memory in Deep Reinforcement Learning. GCCE 2020: 113-116 - [c53]Daichi Nishio, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane:
Discriminator Soft Actor Critic without Extrinsic Rewards. GCCE 2020: 117-120 - [c49]Toshiki Hatano, Satoshi Yamane:
Boosting Binary Neural Networks for FPGA. GCCE 2020: 577-579 - [c48]Toshiki Hatano, Toi Tsuneda, Yuta Suzuki, Kousuke Shintani, Satoshi Yamane:
Image Classification with Additional Non-decision Labels using Self-supervised learning and GAN. CANDAR (Workshops) 2020: 125-129 - [c47]Daiki Kuyoshi, Kuniyasu Imade, Satoshi Yamane:
Efficient Exploration by Decision Making Considering Curiosity and Episodic Memory in Deep Reinforcement Learning. CANDAR (Workshops) 2020: 465-467 - [c46]Yuta Suzuki, Toshiki Hatano, Toi Tsuneda, Satoshi Yamane:
An Image Classification Model that Learns MNIST Image Features and Numerical Information. CANDAR (Workshops) 2020: 483-485 - [c45]Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane:
Q-learning in Continuous Action Space by Extending EVA. CANDAR (Workshops) 2020: 489-491 - [i6]Daichi Nishio, Daiki Kuyoshi, Toi Tsuneda, Satoshi Yamane:
Discriminator Soft Actor Critic without Extrinsic Rewards. CoRR abs/2001.06808 (2020) - 2019
- [c44]Daichi Nishio, Satoshi Yamane:
Random Projection in Neural Episodic Control. ACML 2019: 1-15 - [c43]Kousuke Uemura, Satoshi Yamane:
SMT-Based Bounded Model Checking of Embedded Assembly Program with Interruptions. DASC/PiCom/DataCom/CyberSciTech 2019: 633-639 - [c41]Kazuki Seshimo, Akira Ota, Daichi Nishio, Satoshi Yamane:
Online Heterogeneous Mixture Learning for Big Data. GCCE 2019: 699-701 - [i4]Daichi Nishio, Satoshi Yamane:
Random Projection in Neural Episodic Control. CoRR abs/1904.01790 (2019) - [i2]Kazuki Seshimo, Akira Ota, Daichi Nishio, Satoshi Yamane:
Online Heterogeneous Mixture Learning for Big Data. CoRR abs/1906.08068 (2019) - 2018
- [c39]Yajun Wu, Satoshi Yamane:
Model Checking of Embedded Systems Using RTCTL While Generating Timed Kripke Structure. COMPSAC (1) 2018: 257 - [c38]Daichi Nishio, Satoshi Yamane:
Faster Deep Q-Learning Using Neural Episodic Control. COMPSAC (1) 2018: 486-491 - [c36]Hiromu Kamide, Kosuke Uemura, Satoshi Yamane:
Model Check of Real-time Property of Embedded Assembly Program Using CEGAR. COMPSAC (1) 2018: 799-800 - [i1]Daichi Nishio, Satoshi Yamane:
Faster Deep Q-learning using Neural Episodic Control. CoRR abs/1801.01968 (2018)
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last updated on 2024-03-19 02:08 CET by the dblp team
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