The log-plurisubharmonicity of fiberwise ξ−Bergman kernels for
variant functionals
March 29, 2023
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Mathematics
Complex Variables
In this paper, we establish the log-plurisubharmonicity of fiberwise
ξ-Bergman kernels for a family of variant functionals, thereby addressing a
question posed by Bo Berndtsson to the authors. As an application, we prove
that for a plur...
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms
for Optimization under Orthogonality Constraints
March 29, 2023
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Statistics
Computer Science
Mathematics
Machine Learning
Machine Learning
Optimization and Control
Orthogonality constraints naturally appear in many machine learning problems,
from principal component analysis to robust neural network training. They are
usually solved using Riemannian optimization algorithms, which minimize the
objectiv...
Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in
Spiking Neural Circuits
March 29, 2023
Computer Science
Neural and Evolutionary Computing
Machine Learning
Brain-inspired machine intelligence research seeks to develop computational
models that emulate the information processing and adaptability that
distinguishes biological systems of neurons. This has led to the development of
spiking neural ...
Formation of a magnetized hybrid star with a purely toroidal field from
phase-transition-induced collapse
March 29, 2023
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Physics
High Energy Astrophysical Phenomena
Strongly magnetized neutron stars are popular candidates for producing
detectable electromagnetic and gravitational-wave signals. Gravitational
collapses of neutron stars triggered by a phase transition from hadrons to
deconfined quarks in ...
Data inaccuracy quantification and uncertainty propagation for
bibliometric indicators
March 29, 2023
Computer Science
Digital Libraries
This study introduces an approach to estimate the uncertainty in bibliometric
indicator values that is caused by data errors. This approach utilizes Bayesian
regression models, estimated from empirical data samples, which are used to
predic...
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning
for Volumetric Organ Segmentation
March 29, 2023
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Computer Science
Computer Vision and Pattern Recognition
The recent popularity of foundation models and the pre-train-and-adapt
paradigm, where a large-scale model is transferred to downstream tasks, is
gaining attention for volumetric medical image segmentation. However, current
transfer learnin...
Hermitian Matrix Diagonalization and its Symmetry Properties
March 29, 2023
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Physics
High Energy Physics - Phenomenology
A hermitian matrix can be parametrized by a set consisting of its determinant
and the eigenvalues of its submatrices. We established a group of equations
which connect these variables with the mixing parameters of diagonalization.
These equ...
ContraSim -- Analyzing Neural Representations Based on Contrastive
Learning
March 29, 2023
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Computer Science
Computation and Language
Recent work has compared neural network representations via similarity-based
analyses to improve model interpretation. The quality of a similarity measure
is typically evaluated by its success in assigning a high score to
representations th...
Quantum-Wajsberg algebras
March 29, 2023
Mathematics
Quantum Algebra
We redefine the quantum-MV algebras starting from involutive BE algebras and
we introduce and study the notion of quantum-Wajsberg algebras. We define the
commutative quantum-Wajsberg algebras and we give a characterization of these
structu...
Microwave-Tunable Diode Effect in Asymmetric SQUIDs with Topological
Josephson Junctions
March 29, 2023
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Physics
Superconductivity
Mesoscale and Nanoscale Physics
In superconducting systems in which inversion and time-reversal symmetry are
simultaneously broken the critical current for positive and negative current
bias can be different. For superconducting systems formed by Josephson
junctions (JJs)...