451 citations
- The University of TokyoJP34 papers
- The University of OsakaJP13 papers
- Waseda UniversityJP13 papers
- Fujitsu (China)CN12 papers
- Japan Science and Technology AgencyJP12 papers
- RIKEN Center for Advanced PhotonicsJP9 papers
- National Institute of Advanced Industrial Science and TechnologyJP8 papers
- RIKEN Center for Quantum Computing8 papers
- Hiroshima UniversityJP7 papers
- Hokkaido UniversityJP6 papers
- Kyoto UniversityJP6 papers
- Kyushu UniversityJP6 papers
177 papers
ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images
Jinbin Huang, Yuki Ueno, Chen Chen +4
Generative image models can produce highly realistic images, raising concerns about potential misuse in creating deceptive content. Current deepfake approaches face several challen…
Backward Compatibility in Tree-Based Explanations and Enhanced CART Algorithm
Hirofumi Suzuki
In the operation of machine learning models, model update is a fundamental process that requires careful consideration of its impact on downstream decision-making. Particularly whe…
Sparse Robust Optimal Control in Continuous-Time: A Computationally Viable Approach
Siddhartha Ganguly, Ashwin Aravind, Souvik Das +2
This article presents a novel, numerically viable algorithm for solving sparse robust optimal control problems in continuous time. We consider a constrained linear noisy system gov…
HiAER-Spike Software-Hardware Reconfigurable Platform for Event-Driven Neuromorphic Computing at Scale
Gwenevere Frank, Gopabandhu Hota, Keli Wang +12
In this work, we present HiAER-Spike, a modular, reconfigurable, event-driven neuromorphic computing platform designed to execute large spiking neural networks with up to 160 milli…
Software Testing in the Quantum World
Rui Abreu, Shaukat Ali, Paolo Arcaini +11
Quantum computing offers significant speedups for simulating physical, chemical, and biological systems, and for optimization and machine learning. As quantum software grows in com…
User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios
Xiaoyuan Wu, Roshni Kaushik, Wenkai Li +2
Large language models (LLMs) are rapidly being adopted for tasks like drafting emails, summarizing meetings, and answering health questions. In these settings, users may need to sh…