61 citations
- The University of TokyoJP4 papers
- Fujitsu (China)CN3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Fujitsu (United Kingdom)GB2 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- University of ManchesterGB2 papers
- University of TsukubaJP2 papers
- Aalborg UniversityDK1 paper
- Baidu (China)CN1 paper
- Bank of JapanJP1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
7 papers · 1 filter
Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
Makiko Konoshima, Hirotaka Tamura, Yoshiyuki Kabashima
The 0/1 matrix factorization defines matrix products using logical AND and OR as product-sum operators, revealing the factors influencing various decision processes. Instances and…
Quantum spin Hall states in the lateral heteromonolayers of WTe2-MoTe2
Mari Ohfuchi, Akihiko Sekine
We used density functional theory to investigate the lateral heteromonolayers of WTe2 and MoTe2. We confirmed that topologically nontrivial and trivial phases are energetically fav…
Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations
Yuri Nakao, Takuya Yokota
Due to the opacity of machine learning technology, there is a need for explainability and fairness in the decision support systems used in public or private organizations. Although…
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
Shusaku Egami, Takanori Ugai, Mikiko Oono +2
Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-physical systems that can understand the various contextual information of daily life…
Fair Oversampling Technique using Heterogeneous Clusters
Ryosuke Sonoda
Class imbalance and group (e.g., race, gender, and age) imbalance are acknowledged as two reasons in data that hinder the trade-off between fairness and utility of machine learning…
Applying Ising Machines to Multi-objective QUBOs
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +2
Multi-objective optimisation problems involve finding solutions with varying trade-offs between multiple and often conflicting objectives. Ising machines are physical devices that…