DATE 2024

2024年3月25-27日にスペインのバレンシア市で開催された Design, Automation and Test in Europe Conference (DATE) 2024 にて、M1の小池くんと教員の佐藤が以下の研究発表を行いました(発表日はそれぞれ25日、27日)。また、橋本先生がパネリストとして Focus session “Resilience of Deep Learning Applications: Where We Are and Where We Want to Go” に登壇しました(27日)。

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “DNA-based similar image retrieval via triplet network-driven encoder,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-2, March 2024.
  • Sosei Ikeda, Hiromitsu Awano, and Takashi Sato, “Fast parameter optimization of delayed feedback reservoir with backpropagation and gradient descent,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-6, March 2024.

DAC2024採録決定

以下の論文が、2024年7月に米国カリフォルニア州San Franciscoで開催予定のDesign Automation Conference (DAC) に採択されました。

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “Triplet network-based DNA encoding for enhanced similarity image retrieval,” in Proc. ACM/IEEE Design Automation Conference (DAC), July 2024, to appear. (regular paper acceptance ratio: 23%)
  • Quan Cheng, Qiufeng Li, Longyang Lin, Wang Liao, Liuyao Dai, Hao Yu and Masanori Hashimoto, “How accurately can soft error impact be estimated in black-box/white-box cases? — a case study with an edge AI SoC –, July 2024, to appear. (regular paper acceptance ratio: 23%)

DATE2024採録決定

以下の論文が、2024年3月にスペインValenciaで開催予定のDesign Automation and Test in Europe (DATE) に採択されました。

  • Sosei Ikeda, Hiromitsu Awano, and Takashi Sato, “Fast parameter optimization of delayed feedback reservoir with backpropagation and gradient descent,” in Proc. Design, Automation and Test in Europe (DATE), March 2024, to appear. (regular paper acceptance ratio: 25%)
  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “DNA-based similar image retrieval via triplet network-driven encoder,” in Proc. Design, Automation and Test in Europe (DATE), March 2024, to appear.