253 citations
- Kyoto UniversityJP51 papers
- National Astronomical Observatory of JapanJP27 papers
- The University of TokyoJP27 papers
- Nagoya UniversityJP25 papers
- Hiroshima UniversityJP23 papers
- Université de MontréalCA19 papers
- Subaru (Japan)JP18 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Jet Propulsion LaboratoryUS16 papers
- Kagawa UniversityJP16 papers
- Nanjing UniversityCN16 papers
- The Graduate University for Advanced Studies, SOKENDAIJP16 papers
154 papers
Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM
Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi +3
This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for ma…
Skeletonization-Based Adversarial Perturbations on Large Vision Language Model's Mathematical Text Recognition
Masatomo Yoshida, Haruto Namura, Nicola Adami +1
This work explores the visual capabilities and limitations of foundation models by introducing a novel adversarial attack method utilizing skeletonization to reduce the search spac…
Integrating Distribution Matching into Semi-Supervised Contrastive Learning for Labeled and Unlabeled Data
Shogo Nakayama, Masahiro Okuda
The advancement of deep learning has greatly improved supervised image classification. However, labeling data is costly, prompting research into unsupervised learning methods such…
Discovery of multi-temperature coronal mass ejection signatures from a young solar analogue
Kosuke Namekata, Kevin France, Jongchul Chae +14
Coronal mass ejections (CMEs) on the early Sun may have profoundly influenced the planetary atmospheres of early Solar System planets. Flaring young solar analogues serve as excell…
Optimizing Data Lakes' Queries
Gregory, Weintraub
Cloud data lakes provide a modern solution for managing large volumes of data. The fundamental principle behind these systems is the separation of compute and storage layers. In th…
The Gauss-Markov Adjunction Provides Categorical Semantics of Residuals in Supervised Learning
Moto Kamiura
Enhancing the intelligibility and interpretability of machine learning is a crucial task in responding to the demand for Explicability as an AI principle, and in promoting the bett…