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ORCIDMachine Learning: Science and Technology, Volume 7
Volume 7, Number 1, 2026
- Robin Thériault
, Daniele Tantari:
Saddle hierarchy in dense associative memory. 15001 - Christian Ferko, James Halverson:
Quantum mechanics and neural networks. 15002 - Xiaodan Chen, Fei Zheng, Jiangjiang Xia, Jiang Zhu, Yeqiang Shu, Danian Liu:
High-resolution regional SST AI downscaling based on multi-mode inputs from nested ROMS simulations. 15003 - Ruijie Bai, Ziyuan Liu, Xiangyao Wu, Yuhang Wu, Xu Qian:
Hermite neural operator for solving partial differential equations on unbounded domains *. 15004 - Jonathan Colen, Malachi Schram, Kishansingh Rajput, Armen Kasparian:
Explainable physics-based constraints on reinforcement learning for accelerator optimization. 15005 - Yucong Lu, Xinyue Mo, Huan Li:
GNADET: A geospatial neural advection-diffusion equation framework with graph transformer for surface temperature forecasting. 15006 - Ting Li, Shanglong Liu, Guangzhi Xu, Peizhong Xie:
Quantum complete graph self-attention network for particle flow classification. 15007 - James Alvey, Carlo R. Contaldi, Mauro Pieroni:
Simulation-based inference with deep ensembles: evaluating calibration uncertainty and detecting model misspecification. 15008 - Kevin Bhimani, Julieta Gruszko, Morgan Clark, John F. Wilkerson, Aobo Li:
CycleGAN-driven transfer learning for electronics response emulation in high-purity germanium detectors. 15009 - Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko:
Detecting underdetermination in parameterized quantum circuits. 15010
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