1 code implementation • 11 Jan 2024 • Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
Inspired by Word Tour, a one-dimensional word embedding method, we aim to improve the clarity of the word embedding space by maximizing the semantic continuity of the axes.
no code implementations • 29 Nov 2023 • Kohei Morimoto, Yusuke Takase, Kosuke Mitarai, Keisuke Fujii
In this paper, we introduce the quantum adaptive distribution search (QuADS), a quantum continuous optimization algorithm that integrates Grover adaptive search (GAS) with the covariance matrix adaptation - evolution strategy (CMA-ES), a classical technique for continuous optimization.
1 code implementation • 26 Aug 2023 • Hiroaki Yamagiwa, Yusuke Takase, Hiroyuki Kambe, Ryosuke Nakamoto
This paper proposes a novel zero-shot edge detection with SCESAME, which stands for Spectral Clustering-based Ensemble for Segment Anything Model Estimation, based on the recently proposed Segment Anything Model (SAM).