Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial [PDF]
, 2014 Yarin Gal, Mark van der Wilk
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Advanced Functional Materials, EarlyView.Ag+‐mediated hydrothermal crystal engineering promotes preferential [hk1]‐oriented growth of Sb2Se3 via an ultrathin MoOx interlayer, improving crystallinity and suppressing non‐radiative recombination. The optimized Ag+ treatment photocathode delivers 24.7 mA cm−2 at 0 VRHE and improved stability, revealing an ion‐modulated route to high‐performance ...
Ziying Zhang +10 more
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Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes [PDF]
, 2017 Zhenwen Dai +2 more
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Infrared Nanocrystals for Space Application: Hardness to Irradiations
Advanced Functional Materials, EarlyView.This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret +22 more
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Efficient Model-Free Reinforcement Learning Using Gaussian Process [PDF]
, 2018 Ying Fan, Letian Chen, Yizhou Wang
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deepgp: Bayesian Deep Gaussian Processes using MCMC [PDF]
, 2020 Annie S. Booth
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Advanced Functional Materials, EarlyView.This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy +6 more
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Pathwise integrals and Ito-Tanaka Formula for Gaussian processes [PDF]
, 2013 Tommi Sottinen, Lauri Viitasaari
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Data-driven method for real-time prediction and uncertainty\n quantification of fatigue failure under stochastic loading using artificial\n neural networks and Gaussian process regression [PDF]
, 2021 Maor Farid
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Structural Porosity and Low Mineral Density in Enamel Rods Drive Molar Incisor Hypomineralisation
Advanced Functional Materials, EarlyView.This study uses advanced imaging modalities on multiple length scales to show that molar‐incisor hypomineralization does not present as a locally homogeneous pathology. Instead, microstructural defects, characterized through non‐mineralized, protein‐rich sheaths and an altered mineral structure in between prism rods, resulting in local differences in ...
Katharina Jähn‐Rickert +14 more
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