284 citations
- Centre National de la Recherche ScientifiqueFR17 papers
- Western Digital (United States)US15 papers
- University of California San DiegoUS14 papers
- Institut Jean LamourFR10 papers
- New York UniversityUS10 papers
- University of California, IrvineUS10 papers
- Université de LorraineFR9 papers
- Cornell UniversityUS8 papers
- Stanford UniversityUS8 papers
- Hitachi (United Kingdom)GB7 papers
- Lawrence Berkeley National LaboratoryUS7 papers
- SLAC National Accelerator LaboratoryUS7 papers
113 papers
Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Bo Fu, Mingjie Bi, Shota Umeda +6
The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing sy…
Mimicking large spot-scanning radiation fields for proton FLASH preclinical studies with a robotic motion platform
Fada Guan, Dadi Jiang, Xiaochun Wang +12
Previously, a synchrotron-based horizontal proton beamline (87.2 MeV) was successfully commissioned to deliver radiation doses in FLASH and conventional dose rate modes to small fi…
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
Takuya Kanazawa, Chetan Gupta
Sequential decision making in the real world often requires finding a good balance of conflicting objectives. In general, there exist a plethora of Pareto-optimal policies that emb…
A Functional approach for Two Way Dimension Reduction in Time Series
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
The rise in data has led to the need for dimension reduction techniques, especially in the area of non-scalar variables, including time series, natural language processing, and com…
Non-local magnon transconductance in extended magnetic insulating films.\\Part II: two-fluid behavior
Ryuhei Kohno, Kyongmo An, Eric Clot +14
This review presents a comprehensive study of the spatial dispersion of propagating magnons electrically emitted in extended yttrium-iron garnet (YIG) films by the spin transfer ef…
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
Takuya Kanazawa, Chetan Gupta
Development of an accurate, flexible, and numerically efficient uncertainty quantification (UQ) method is one of fundamental challenges in machine learning. Previously, a UQ method…