78 citations
- Keio UniversityJP2 papers
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Bavarian Research Institute for Digital TransformationDE1 paper
- Centre for Quantum Computation and Communication TechnologyAU1 paper
- City College of Dongguan University of TechnologyCN1 paper
- City University of Hong KongHK1 paper
- Computing CenterRU1 paper
- Fujitsu (Japan)JP1 paper
- Graduate School USAUS1 paper
- Hong Kong Polytechnic UniversityHK1 paper
- Institute of Informatics of the Slovak Academy of SciencesSK1 paper
- Keio University Shonan FujisawaJP1 paper
8 papers
Training-free image inversion for one-step diffusion models
Tao Wu, Senmao Li, Yaxing Wang +3
In this work, we introduce a novel training-free inversion (TFinv) framework for one-step diffusion models,addressing key challenges in real image inversion and editing. We first i…
JGS2: Near Second-order Converging Jacobi/Gauss-Seidel for GPU Elastodynamics
Lei Lan, Zixuan Lu, Chun Yuan +5
In parallel simulation, convergence and parallelism are often seen as inherently conflicting objectives. Improved parallelism typically entails lighter local computation and weaker…
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos
Yifan Wu, Zhiyang Dou, Yuko Ishiwaka +5
Reproducing realistic collective behaviors presents a captivating yet formidable challenge. Traditional rule-based methods rely on hand-crafted principles, limiting motion diversit…
Optimization of Connection Patterns between Mobile Phones and Base Stations using Quantum Annealing
Taisei Takabayashi, Shoichi Sudo, Toshihiro Aoki +2
In current mobile networks, optimizing which base station a mobile phone in a particular area connects to is crucial for ensuring good communication quality for each mobile phone b…
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues
Mengze Hong, Wailing Ng, Chen Jason Zhang +2
Discovering customer intentions is crucial for automated service agents, yet existing intent clustering methods often fall short due to their reliance on embedding distance metrics…
Tensor-based quantum phase difference estimation for large-scale demonstration
Shu Kanno, Kenji Sugisaki, Hajime Nakamura +5
We develop an energy calculation algorithm leveraging quantum phase difference estimation (QPDE) scheme and a tensor-network-based unitary compression method in the preparation of…