Redshift Evolution of the X-Ray and Ultraviolet Luminosity Relation of Quasars: Calibrated Results from SNe Ia by Xiaolei Li, Ryan E. Keeley, Arman Shafieloo

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A Factor Graph Approach to Variational Sparse Gaussian Processes by Hoang Minh Huu Nguyen, Ismail Senoz, Bert De Vries

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Signal Recovery in Power Systems by Correlated Gaussian Processes by Marcel Zimmer, Daniele Carta, Thiemo Pesch, Andrea Benigni

Subjects: “…Gaussian processes (GPs)…”
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Memory‐constrained implementation of lattice‐based encryption scheme on standard Java Card platform by Ye Yuan, Kazuhide Fukushima, Junting Xiao, Shinsaku Kiyomoto, Tsuyoshi Takagi

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Distributed Gaussian Processes With Uncertain Inputs by Peter L. Green

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Sensor Placement and State Estimation in Water Distribution Systems Using Edge Gaussian Processes by Bulat Kerimov, Vincent Pons, Spyros Pritsis, Riccardo Taormina, Franz Tscheikner-Gratl

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Anatomical Plausibility in Deformable Image Registration Using Bayesian Optimization for Brain MRI Analysis by Mauricio Castaño-Aguirre, Hernán Felipe García, David Cárdenas-Peña, Gloria Liliana Porras-Hurtado, Álvaro Ángel Orozco-Gutiérrez

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An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia by Diego Armando Pérez-Rosero, Diego Alejandro Manrique-Cabezas, Jennifer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

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A Two-Stage Strategy Integrating Gaussian Processes and TD3 for Leader–Follower Coordination in Multi-Agent Systems by Xicheng Zhang, Bingchun Jiang, Fuqin Deng, Min Zhao

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Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using a Data-driven Systematic Effect Model by Li-Yang Gao, Léon V. E. Koopmans, Florent G. Mertens, Satyapan Munshi, Yichao Li, Stefanie A. Brackenhoff, Emilio Ceccotti, J. Kariuki Chege, Anshuman Acharya, Raghunath Ghara, Sambit K. Giri, Ilian T. Iliev, Garrelt Mellema, Xin Zhang

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Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

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Gaussian processes enabled model calibration in the context of deep geological disposal by Lennart Paul, Jorge-Humberto Urrea-Quintero, Umer Fiaz, Ali Hussein, Hazem Yaghi, Joachim Stahlmann, Ulrich Römer, Henning Wessels

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Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping by SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, V. E.

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Variable Sampling Composite Observer Based Frequency Locked Loop and its Application in Grid Connected System by ARUN, K., SELVAJYOTHI, K.

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A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination by Jun Ren, Ying Zhou, Yudi Hu, Jing Yang, Hongkun Fang, Xuejing Lyu, Jintao Guo, Xiaodong Shi, Qiyuan Li

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Model-agnostic Cosmological Inference with SDSS-IV eBOSS: Simultaneous Probing for the Background and Perturbed Universe by Purba Mukherjee, Anjan A Sen

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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

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Calibration of Electron Microscopes Through Deep Learning and Bayesian Optimization by Jilles S. van Hulst, Roy A. C. van Zuijlen, Narges Javaheri, Maurits Diephuis, Duarte J. Antunes, W. P. M. H. Heemels

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A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs by Gregory Sallaberry, Benjamin W. Priest, Robert Armstrong, Michael Schneider, Amanda Muyskens, Trevor Steil, Keita Iwabuchi

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MATSE—multi-fidelity augmented time-series emulation: galvanic corrosion applications by Aditya Venkatraman, Ryan M Katona, David Montes de Oca Zapiain

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