40 citations
- Toyohashi University of TechnologyJP3 papers
- National Research and Innovation AgencyID2 papers
- Asia Pacific Center for Theoretical PhysicsKR1 paper
- Institut Bisnis dan Teknologi IndonesiaID1 paper
- Institut Teknologi dan Bisnis KalbeID1 paper
- National Taiwan University of Science and TechnologyTW1 paper
- Pohang University of Science and TechnologyKR1 paper
- Pukyong National UniversityKR1 paper
- Tohoku UniversityJP1 paper
- Tohoku University HospitalJP1 paper
- Universitas Ahmad DahlanID1 paper
- Universitas Teknologi IndonesiaID1 paper
7 papers
Effect of higher-order interactions on noisy majority-rule dynamics with random group sizes
Roni Muslim, Jong-Min Park, Jihye Kim +1
We study opinion dynamics with higher-order interactions, motivated by the fact that social influence often takes place in groups rather than only through pairwise contacts. We int…
Determination of the HERA coherent diffractive production cross section via artificial neural network
Taufiq Iqbal Baihaqi, Chalis Setyadi, Zulkaida Akbar +2
An exclusive coherent diffractive production dataset from HERA, covering a large kinematic range in the photon virtuality , the squared momentum transfer , and the p…
Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion
Oskar Natan, Jun Miura
We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The model performs multiple views of semantic s…
Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation
Oskar Natan, Jun Miura
We present Seq-DeepIPC, a sequential end-to-end perception-to-control model for legged robot navigation in real-world environments. Seq-DeepIPC advances intelligent sensing for aut…
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
Oskar Natan, Jun Miura
We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-re…
SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
Muhammad Alfian Amrizal, Raka Satya Prasasta, Santana Yuda Pradata +3
High-performance computing (HPC) systems consume enormous amounts of energy, with idle nodes as a major source of energy waste. Powering down idle nodes can mitigate this problem,…