6 citations
- The University of TokyoJP6 papers
- Gifu UniversityJP3 papers
- High Energy Accelerator Research OrganizationJP3 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT3 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT3 papers
- King's College LondonGB3 papers
- Kyoto UniversityJP3 papers
- Nagoya UniversityJP3 papers
- Tohoku UniversityJP3 papers
- Universidad Autónoma de MadridES3 papers
- University of OxfordGB3 papers
- University of WarsawPL3 papers
24 papers
An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models
Kei Nishihara, Yaochu Jin, Masaya Nakata
An ensemble of surrogate models helps improve the prediction quality and robustness of surrogate models, and in turn, the search performance of surrogate-assisted evolutionary algo…
Revisiting the limits on dark matter annihilation cross-section and decay lifetime in light of electron and positron fluxes
Nagisa Hiroshima, Kazunori Kohri, Partha Kumar Paul +1
We revisit the upper bound on the annihilation cross-section, of a stable dark matter (DM) of mass GeV by considering five different channels: $W^+…
Design and Performance of a Monolithic Plastic Scintillator Tracker with Embedded Scatterers
Naoki Otani, Seungho Han, Shun Ito +4
We propose a new scintillator-based tracker concept based on a monolithic plastic scintillator plate with embedded scatterers and wavelength-shifting fiber readout. The embedded sc…
Search for Diffuse Supernova Neutrino Background with 956.2 days of Super-Kamiokande Gadolinium Dataset
K. Abe, S. Abe, Y. Asaoka +245
We report the search result for the Diffuse Supernova Neutrino Background (DSNB) in neutrino energies beyond 9.3~MeV in the gadolinium-loaded Super-Kamiokande (SK) detector with $2…
Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Keisuke Sugawara, Kento Uchida, Shinichi Shirakawa
Sample reweighting is a major approach to addressing distribution shifts, such as label noise and class imbalance. Meta-Weight-Net (MW-Net) is a promising sample reweighting networ…
Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
Probabilistic model-based evolutionary algorithms are promising for black-box optimization. Specifically, the adaptive stochastic natural gradient (ASNG) adaptively updates its lea…