Metabonomic, transcriptomic, and genomic variation of a population cohort by Michael Inouye, Johannes Kettunen, Pasi Soininen, Kaisa Silander, Samuli Ripatti, Linda S Kumpula, Eija Hämäläinen, Pekka Jousilahti, Antti J Kangas, Satu Männistö, Markku J Savolainen, Antti Jula, Jaana Leiviskä, Aarno Palotie, Veikko Salomaa, Markus Perola, Mika Ala‐Korpela, Leena Peltonen

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Improved Variational Bayes for Space-Time Adaptive Processing by Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang

“…To significantly improve sparsity, this paper introduces a hierarchical Bayesian prior framework and derives iterative parameter update formulas through variational inference techniques. However, this algorithm encounters significant computational hurdles during the parameter update process. …”
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Sources of variation in cell-type RNA-Seq profiles. by Johan Gustafsson, Felix Held, Jonathan L Robinson, Elias Björnson, Rebecka Jörnsten, Jens Nielsen

“…Cell-type specific gene expression profiles are needed for many computational methods operating on bulk RNA-Seq samples, such as deconvolution of cell-type fractions and digital cytometry. …”
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Effective Variational Data Assimilation in Air-Pollution Prediction by Rossella Arcucci, Christopher Pain, Yi-Ke Guo

“…To improve prediction for air flows and pollution transport, we propose a Variational Data Assimilation (VarDA) model which assimilates data from sensors into the open-source, finite-element, fluid dynamics model Fluidity. …”
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Distributionally Robust Variational Quantum Algorithms With Shifted Noise by Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang

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Privacy preserving federated learning with convolutional variational bottlenecks by Daniel Scheliga, Patrick Mäder, Marco Seeland

“…To preserve the privacy preserving effect of PRECODE, our analysis reveals that variational modeling must be placed early in the network. …”
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Variational formulation of active nematic fluids: theory and simulation by W Mirza, A Torres-Sánchez, G Vilanova, Marino Arroyo

“…Alternative to classical nonequilibrium thermodynamics and bracket formalisms, here we develop a theoretical and computational framework for active nematics based on Onsager’s variational formalism to irreversible thermodynamics, according to which the dynamics result from the minimization of a Rayleighian functional capturing the competition between free-energy release, dissipation and activity. …”
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Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations by Diego Marcheggiani, Ivan Titov

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On Riesz-Caputo Formulation for Sequential Fractional Variational Principles by Fahd Jarad, Thabet Abdeljawad, Dumitru Baleanu

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Performance analysis of a filtering variational quantum algorithm by Gabriel Marin-Sanchez, David Amaro

“…The filtering variational quantum eigensolver (F-VQE) is a variational hybrid quantum algorithm designed to solve combinatorial optimization problems on existing quantum computers with limited qubit number, connectivity, and fidelity. …”
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Different sets of QTLs influence fitness variation in yeast by Gal Hagit Romano, Yonat Gurvich, Ofer Lavi, Igor Ulitsky, Ron Shamir, Martin Kupiec

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Exploiting diurnal temperature variations to monitor the growth of tubers by Marissa Bezemer, Neil Budko

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Robust Stability and Stability Radius for Variational Control Systems by Bogdan Sasu

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Duality models for some nonclassical problems in the calculus of variations by G. J. Zalmai

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Introducing the kernel descent optimizer for variational quantum algorithms by Lars Simon, Holger Eble, Manuel Radons

“…Abstract In recent years, variational quantum algorithms have garnered significant attention as a candidate approach for near-term quantum advantage using noisy intermediate-scale quantum (NISQ) devices. …”
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Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities by Danfeng Wu, Li-Jun Zhu, Zhuang Shan, Tzu-Chien Yin

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Analytical Model of Random Variation in Drain Current of FGMOSFET by Rawid Banchuin

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Clinical Impact of Neutrophil Variation on COVID-19 Complications by Khadija El Azhary, Bouchra Ghazi, Fadila Kouhen, Jalila El Bakkouri, Hasna Chamlal, Adil El Ghanmi, Abdallah Badou

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Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging by Roberto Limongi, Alexandra B. Skelton, Lydia H. Tzianas, Angelica M. Silva

“…In this review, we describe recent works revealing that mind and brain-related computational phenotypes show structural (not random) variation over time, longitudinal changes. …”
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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…The transfer function is approximated by a type of artificial neural network called a variational autoencoder (VAE). The VAE first encodes input data, including offshore hazard curves and topographic and bathymetric data. …”
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