Results 21 to 30 of about 2,222,592 (283)
A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector [PDF]
Journal of High Energy Physics, 2019 A bstractWe present a novel framework for carrying out global analyses of the Standard Model Effective Field Theory (SMEFT) at dimension-six: SMEFiT.
N. Hartland +6 more
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Optimal Streaming and Tracking Distinct Elements with High Probability [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2018 The distinct elements problem is one of the fundamental problems in streaming algorithms—given a stream of integers in the range { 1,… ,n}, we wish to provide a (1+ε) approximation to the number of distinct elements in the input.
Jarosław Błasiok
semanticscholar +1 more source
Incorporating Expert Prior in Bayesian Optimisation via Space Warping [PDF]
Knowledge-Based Systems, 2020 Bayesian optimisation is a well-known sample-efficient method for the optimisation of expensive black-box functions. However when dealing with big search spaces the algorithm goes through several low function value regions before reaching the optimum of ...
Anil Ramachandran +4 more
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Foundational Problems of Quantum Theory: Novel Approach to Temporal Probability Density
Journal of Physics: Theories and Applications, 2022 Present study focuses on some foundational problems of quantum theory specifically deals with the concept of probability density and relating introductory problems.
Mustafa Erol, M. Emre Kuzucu
doaj +1 more source
Generic Stationary Measures and Actions [PDF]
, 2015 Let $G$ be a countably infinite group, and let $\mu$ be a generating probability measure on $G$. We study the space of $\mu$-stationary Borel probability measures on a topological $G$ space, and in particular on $Z^G$, where $Z$ is any perfect Polish ...
Bowen, Lewis, Hartman, Yair, Tamuz, Omer
core +2 more sources
Neutrino oscillation in the q-metric
European Physical Journal C: Particles and Fields, 2020 We investigate neutrino oscillation in the field of an axially symmetric space-time, employing the so-called q-metric, in the context of general relativity.
Kuantay Boshkayev +2 more
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Data-Targeted Prior Distribution for Variational AutoEncoder
Fluids, 2021 Bayesian methods were studied in this paper using deep neural networks. We are interested in variational autoencoders, where an encoder approaches the true posterior and the decoder approaches the direct probability.
Nissrine Akkari +3 more
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Fidelity of hyperbolic space for Bayesian phylogenetic inference.
PLoS Computational Biology, 2023 Bayesian inference for phylogenetics is a gold standard for computing distributions of phylogenies. However, Bayesian phylogenetics faces the challenging computational problem of moving throughout the high-dimensional space of trees.
Matthew Macaulay +2 more
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Amyloid burden quantification depends on PET and MR image processing methodology.
PLoS ONE, 2021 Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer's Disease in-vivo. However, quantification can be affected by the image processing methodology applied.
Guilherme D Kolinger +7 more
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Madelung transform and probability densities in hybrid quantum–classical dynamics [PDF]
Nonlinearity, 2019 This paper extends the Madelung–Bohm formulation of quantum mechanics to describe the time-reversible interaction of classical and quantum systems. The symplectic geometry of the Madelung transform leads to identifying hybrid quantum–classical Lagrangian
F. Gay‐Balmaz, C. Tronci
semanticscholar +1 more source