Angular spectrum of quantum fluctuations in causal structure
March 11, 2023
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Physics
General Relativity and Quantum Cosmology
Quantum Physics
Scaling arguments are used to constrain the angular spectrum of distortions
on boundaries of macroscopic causal diamonds, produced by Planck-scale vacuum
fluctuations of causally-coherent quantum gravity. The small-angle spectrum of
displac...
PARASOL: Parametric Style Control for Diffusion Image Synthesis
March 11, 2023
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Computer Science
Computer Vision and Pattern Recognition
We propose PARASOL, a multi-modal synthesis model that enables disentangled,
parametric control of the visual style of the image by jointly conditioning
synthesis on both content and a fine-grained visual style embedding. We train a
latent ...
A heuristic search algorithm for discovering large Condorcet domains
March 11, 2023
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Computer Science
Discrete Mathematics
The study of large Condorcet domains (CD) has been a significant area of
interest in voting theory. In this paper, our goal is to search for large CDs
that are hitherto unknown. With a straightforward combinatorial definition,
searching for...
Semantic-Aware Multi-Terminal Coding for Gaussian Mixture Sources
March 11, 2023
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Computer Science
Mathematics
Information Theory
Information Theory
A novel distributed source coding model which named semantic-aware
multi-terminal (MT) source coding is proposed and investigated in the paper,
where multiple agents independently encode an imperceptible semantic source,
while both semantic...
Direct Bayesian Regression for Distribution-valued Covariates
March 11, 2023
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Statistics
Mathematics
Methodology
Statistics Theory
Statistics Theory
In this manuscript, we study the problem of scalar-on-distribution
regression; that is, instances where subject-specific distributions or
densities, or in practice, repeated measures from those distributions, are the
covariates related to a...
Learning from limited temporal data: Dynamically sparse historical
functional linear models with applications to Earth science
March 11, 2023
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Statistics
Methodology
Applications
Scientists and statisticians often want to learn about the complex
relationships that connect two time-varying variables. Recent work on sparse
functional historical linear models confirms that they are promising for this
purpose, but sever...
An Implementation of the Optimal Scheme for Energy Efficient Bus
Encoding
March 11, 2023
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Computer Science
Mathematics
Information Theory
Information Theory
In computer system buses, most of the energy is spent to change the voltage
of each line from high to low or vice versa. Bus encoding schemes aim to
improve energy efficiency by limiting the number of transitions between
successive uses of ...
Making Batch Normalization Great in Federated Deep Learning
March 11, 2023
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Computer Science
Machine Learning
Artificial Intelligence
Batch Normalization (BN) is widely used in {centralized} deep learning to
improve convergence and generalization. However, in {federated} learning (FL)
with decentralized data, prior work has observed that training with BN could
hinder perf...
Multimodal Data Integration for Oncology in the Era of Deep Neural
Networks: A Review
March 11, 2023
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Computer Science
Machine Learning
Cancer has relational information residing at varying scales, modalities, and
resolutions of the acquired data, such as radiology, pathology, genomics,
proteomics, and clinical records. Integrating diverse data types can improve
the accurac...
3DInAction: Understanding Human Actions in 3D Point Clouds
March 11, 2023
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Computer Science
Computer Vision and Pattern Recognition
We propose a novel method for 3D point cloud action recognition.
Understanding human actions in RGB videos has been widely studied in recent
years, however, its 3D point cloud counterpart remains under-explored. This is
mostly due to the in...