Computing equivariant matrices on homogeneous spaces for Geometric Deep
Learning and Automorphic Lie Algebras
March 13, 2023
Mathematics
Computer Science
Representation Theory
Artificial Intelligence
We develop an elementary method to compute spaces of equivariant maps from a
homogeneous space G/H of a Lie group G to a module of this group. The Lie
group is not required to be compact. More generally, we study spaces of
invariant sec...
Compositeness of Tcc​ and X(3872) by considering decay and
coupled-channels effects
March 13, 2023
|
Physics
High Energy Physics - Phenomenology
Nuclear Theory
The compositeness of weakly bound states is discussed using the effective
field theory from the viewpoint of the low-energy universality. We introduce a
model with coupling of the single-channel scattering to the bare state, and
study the c...
Testing structural balance theories in heterogeneous signed networks
March 13, 2023
| | | |
Physics
Physics and Society
Data Analysis, Statistics and Probability
The abundance of data about social relationships allows the human behavior to
be analyzed as any other natural phenomenon. Here we focus on balance theory,
stating that social actors tend to avoid establishing cycles with an odd number
of n...
RIS-Jamming: Breaking Key Consistency in Channel Reciprocity-based Key
Generation
March 13, 2023
| | | | | | | |
Computer Science
Mathematics
Information Theory
Information Theory
Channel Reciprocity-based Key Generation (CRKG) exploits reciprocal channel
randomness to establish shared secret keys between wireless terminals. This new
security technique is expected to complement existing cryptographic techniques
for s...
Representation Learning for Stack Overflow Posts: How Far are We?
March 13, 2023
| | | | | | | |
Computer Science
Software Engineering
The tremendous success of Stack Overflow has accumulated an extensive corpus
of software engineering knowledge, thus motivating researchers to propose
various solutions for analyzing its content.The performance of such solutions
hinges sign...
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial
Wedge Pressure from Cardiac MRI
March 13, 2023
| | | | | |
Computer Science
Quantitative Biology
Machine Learning
Computer Vision and Pattern Recognition
Quantitative Methods
Heart failure is a serious and life-threatening condition that can lead to
elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure
(PAWP) is an important surrogate marker indicating high pressure in the left
ventricle. PA...
Conditions on detecting tripartite entangled state in psychophysical
experiments
March 13, 2023
| |
Physics
Biological Physics
Quantum Physics
This paper explores the sensitivity of the human visual system to quantum
entangled light. We examine the possibility of human subjects perceiving
multipartite entangled state through psychophysical experiments. Our focus
begins with a bipa...
Evolution of Gaussian measures and application to the one dimensional
nonlinear Schr{\"o}dinger equation
March 13, 2023
|
Mathematics
Analysis of PDEs
In this note, we give an overview of some results obtained in [3]. This
latter work is devoted to the study of the one-dimensional nonlinear
Schr{\"o}dinger equation with random initial conditions. Namely, we describe
the nonlinear evolutio...
Lifelong Continual Learning for Anomaly Detection: New Challenges,
Perspectives, and Insights
March 13, 2023
| | |
Computer Science
Machine Learning
Artificial Intelligence
Anomaly detection is of paramount importance in many real-world domains,
characterized by evolving behavior. Lifelong learning represents an emerging
trend, answering the need for machine learning models that continuously adapt
to new chall...
Intrinsic spin-orbit torque mechanism for deterministic all-electric
switching of noncollinear antiferromagnets
March 13, 2023
| | |
Physics
Mesoscale and Nanoscale Physics
Using a pure electric current to control kagome noncollinear antiferromagnets
is promising in information storage and processing, but a full description is
still lacking, in particular, on intrinsic (i.e., no external magnetic fields
or ext...