184 citations · 577 across the 31 of their papers we have counts for
31 papers
Variability studies of active galactic nuclei from the long-term monitoring program with the Cherenkov Telescope Array
Guillaume Grolleron, Josefa Becerra González, Jonathan Biteau +13
Blazars are active galactic nuclei (AGN) with a relativistic jet oriented toward the observer. This jet is composed of accelerated particles which can display emission over the ent…
Prospects for -ray observations of the Perseus galaxy cluster with the Cherenkov Telescope Array
The Cherenkov Telescope Array Consortium, :, K. Abe +564
Galaxy clusters are expected to be dark matter (DM) reservoirs and storage rooms for the cosmic-ray protons (CRp) that accumulate along the cluster's formation history. Accordingly…
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita, Satoshi Hara
This paper addresses the communication issues when estimating hyper-gradients in decentralized federated learning (FL). Hyper-gradients in decentralized FL quantifies how the perfo…
Evaluation of Similarity-based Explanations
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara +1
Explaining the predictions made by complex machine learning models helps users to understand and accept the predicted outputs with confidence. One promising way is to use similarit…
Interpretable Companions for Black-Box Models
Danqing Pan, Tong Wang, Satoshi Hara
We present an interpretable companion model for any pre-trained black-box classifiers. The idea is that for any input, a user can decide to either receive a prediction from the bla…
Data Cleansing for Models Trained with SGD
Satoshi Hara, Atsushi Nitanda, Takanori Maehara
Data cleansing is a typical approach used to improve the accuracy of machine learning models, which, however, requires extensive domain knowledge to identify the influential instan…