194 citations
- Sony (Taiwan)TW9 papers
- The University of Texas at AustinUS7 papers
- Sony Computer Science LaboratoriesJP6 papers
- Massachusetts Institute of TechnologyUS3 papers
- Sony (Japan)JP3 papers
- DEVCOM Army Research LaboratoryUS2 papers
- Google (United States)US2 papers
- Keio UniversityJP2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Nokia (United States)US2 papers
- Toyota Technological Institute at ChicagoUS2 papers
- Adobe Systems (United States)US1 paper
51 papers
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
Yansong Liu, Li-Hsi, Lin +4
Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devices cannot measure. The Quality of Recovery (QoR-15) survey is t…
Break-the-Beat! Controllable MIDI-to-Drum Audio Synthesis
Shuyang Cui, Zhi Zhong, Qiyu Wu +9
Current methods for creating drum loop audio in digital music production, such as using one-shot samples or resampling, often demand non-trivial efforts of creators. While recent g…
Emergent, not Immanent: A Baradian Reading of Explainable AI
Fabio Morreale, Joan Serrà, Yuki Mitsufuji
Explainable AI (XAI) is frequently positioned as a technical problem of revealing the inner workings of an AI model. This position is affected by unexamined onto-epistemological as…
A Model of Causal Explanation on Neural Networks for Tabular Data
Takashi Isozaki, Masahiro Yamamoto, Atsushi Noda
The problem of explaining the results produced by machine learning methods continues to attract attention. Neural network (NN) models, along with gradient boosting machines, are ex…
The Fine-Structure Constant as a Scaled Quantity
Harry Sticker
The fine-structure constant alpha approximately 1/137 is traditionally regarded as a fundamental dimensionless parameter. I argue instead that alpha is a scaled quantity that arise…