Fully‐Constrained Variable Projection for Water‐Fat Models
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter +4 more
wiley +1 more source
Characterization of the spectra of rotating truncated gas planets and inertia-gravity modes. [PDF]
de Hoop MV, Holman S.
europepmc +1 more source
Accurate and Efficient Data‐Driven Partitioned Scheme for Coupled Heterogeneous Numerical Models
ABSTRACT Heterogeneous numerical models (HNMs) combine conventional discretization modules such as finite elements with nonconventional data‐driven and reduced‐order modules. HNMs can improve computational efficiency and enable simulations of multi‐physics systems in which one or more constituent components lack first‐principles descriptions and must ...
Edward Huynh +3 more
wiley +1 more source
Giant Mpemba Effect via Weak Interactions in Open Quantum Systems. [PDF]
Longhi S.
europepmc +1 more source
Non‐Elliptical Dimension Reduction in Survival Regression
ABSTRACT Sufficient dimension reduction (SDR) in survival regression aims to identify low‐dimensional structures that preserve the relationship between survival time and predictors. Classical SDR methods, such as sliced inverse regression (SIR), rely on strong assumptions such as linearity, constant variance and coverage conditions, which are often ...
Minjee Kim, Minjeong Kim, Jae Keun Yoo
wiley +1 more source
Generalized Eigenvalue Problem in Subspace-Based Excited-State Methods for Quantum Computers. [PDF]
Kwao PF +3 more
europepmc +1 more source
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal +3 more
wiley +1 more source
Shifts in brain dynamics and drivers of consciousness state transitions. [PDF]
Bodenheimer J +3 more
europepmc +1 more source
Robust broadband adaptive beamforming for planar arrays with tunable nulls in high-dynamic scenario. [PDF]
Hao F +6 more
europepmc +1 more source
Wigner Distribution Sets Universal Lower Bound for Quantum Advantage in Gaussian Boson Sampling. [PDF]
Kocharovsky VV, Kalra K.
europepmc +1 more source

