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Multimodal Data Fusion of Non-Gaussian Spatial Fields in Sensor Networks
We develop a robust data fusion algorithm for field reconstruction of multiple physical phenomena. The contribution of this paper is twofold: First, we demonstrate how multi-spatial fields which can have any marginal distributions and exhibit complex dependence structures can be constructed. To this end we develop a ...
77
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From symmetries of the modular tower of genus zero real stable curves to an Euler class for the dyadic circle
We build actions of Thompson group V (related to the Cantor set) and of the so-called "spheromorphism" group of Neretin, on "towers" of moduli spaces of genus zero real stable curves. The latter consist of inductive limits of spaces which are the real parts of the Grothendieck-Knudsen compactification of the usual mo...
33
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SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
Deep cascaded architectures for magnetic resonance imaging (MRI) acceleration have shown remarkable success in providing high-quality reconstruction. However, as the number of cascades increases, the improvements in reconstruction tend to become marginal, indicating possible excess model capacity. Knowledge distillat...
22
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Check yourself before you wreck yourself: Assessing discrete choice models through predictive simulations
Typically, discrete choice modelers develop ever-more advanced models and estimation methods. Compared to the impressive progress in model development and estimation, model-checking techniques have lagged behind. Often, choice modelers use only crude methods to assess how well an estimated model represents reality. S...
77
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An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide
Current closed-loop insulin delivery algorithms need to be informed of carbohydrate intake disturbances. This can be a burden on people using these systems. Pramlintide is a hormone that delays gastric emptying, which enables insulin kinetics to align with the kinetics of carbohydrate absorption. Integrating pramlint...
22
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A General Approach for Calibration Weighting under Missing at Random
We propose a unified class of calibration weighting methods based on weighted generalized entropy to handle missing at random (MAR) data with improved stability and efficiency. The proposed generalized entropy calibration (GEC) formulates weight construction as a convex optimization program that unifies entropy-based a...
77
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Unified field theory of basic forces and elementary particles with gravitational origin of gauge symmetry in hyper-spacetime
A unified field theory of all known basic forces and elementary particles is built based on the postulates of gauge invariance and coordinate independence along with general conformal scaling symmetry. The hyper-spin charge of a unified hyper-spinor field is conjectured to correlate with the dimension of hyper-spacet...
44
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ncRNA Classification with Graph Convolutional Networks
Non-coding RNA (ncRNA) are RNA sequences which don't code for a gene but instead carry important biological functions. The task of ncRNA classification consists in classifying a given ncRNA sequence into its family. While it has been shown that the graph structure of an ncRNA sequence folding is of great importance f...
55
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Positive Lyapunov Exponents for Quasiperiodic Szego cocycles
In this paper we first obtain a formula of averaged Lyapunov exponents for ergodic Szego cocycles via the Herman-Avila-Bochi formula. Then using acceleration, we construct a class of analytic quasi-periodic Szego cocycles with uniformly positive Lyapunov exponents. Finally, a simple application of the main theorem in...
33
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Design of an Automated Ethanol Vapor Generating System for Alcohol Use Disorder(AUD) Animal Studies
Alcohol Use Disorder (AUD) is a prevalent addictive disorder affecting an estimated 29.5 million Americans. It is characterized by impaired control over alcohol consumption despite negative consequences. The number of diagnostic criteria met by an individual typically determines the severity of AUD. Research into AUD...
55
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An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation
Accurate evaluation of regional lung ventilation is essential for the management and treatment of lung cancer patients, supporting assessments of pulmonary function, optimization of therapeutic strategies, and monitoring of treatment response. Currently, ventilation scintigraphy using nuclear medicine techniques is wid...
44
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Preference for redistribution and institutional trust: Comparison before and after COVID-19
Using an individual-level panel dataset from Japan covering the period 2016-2024, we examined how the COVID-19 pandemic, as an unanticipated public crisis, affected preferences for income redistribution. Furthermore, we investigated how the association between redistribution preferences and trust in government changed ...
11
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Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables
Rare populations, such as endangered animals and plants, drug users and individuals with rare diseases, tend to cluster in regions. Adaptive cluster sampling is generally applied to obtain information from clustered and sparse populations since it increases survey effort in areas where the individuals of interest are...
77
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Towards an Axiomatic Approach to Hierarchical Clustering of Measures
We propose some axioms for hierarchical clustering of probability measures and investigate their ramifications. The basic idea is to let the user stipulate the clusters for some elementary measures. This is done without the need of any notion of metric, similarity or dissimilarity. Our main results then show that for...
77
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Magnetism of Two Coupled Harmonic Oscillators
The thermodynamical properties of a system of two coupled harmonic oscillators in the presence of an uniform magnetic field B are investigated. Using an unitary transformation, we show that the system can be diagonalized in simple way and then obtain the energy spectrum solutions. These will be used to determine the ...
44
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Combined Algorithm for Data Mining using Association rules
Association Rule mining is one of the most important fields in data mining and knowledge discovery. This paper proposes an algorithm that combines the simple association rules derived from basic Apriori Algorithm with the multiple minimum support using maximum constraints. The algorithm is implemented, and is compare...
00
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Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking
Protein-peptide interactions play essential functional roles in living organisms and their structural characterization is a hot subject of current experimental and theoretical research. Computational modeling of the structure of protein-peptide interactions is usually divided into two stages: prediction of the bindin...
55
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Generalization of Mirsky's theorem on diagonals and eigenvalues of matrices
Mirsky proved that, for the existence of a complex matrix with given eigenvalues and diagonal entries, the obvious necessary condition is also sufficient. We generalize this theorem to matrices over any field and provide a short proof. Moreover, we show that there is a unique companion-matrix-type solution for this p...
33
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On intermediate Marginals in Martingale Optimal Transportation
We study the influence of additional intermediate marginal distributions on the value of the martingale optimal transport problem. From a financial point of view, this corresponds to taking into account call option prices not only, as usual, for those call options where the respective future maturities coincide with ...
66
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An algorithm for removing sensitive information: application to race-independent recidivism prediction
Predictive modeling is increasingly being employed to assist human decision-makers. One purported advantage of replacing or augmenting human judgment with computer models in high stakes settings-- such as sentencing, hiring, policing, college admissions, and parole decisions-- is the perceived "neutrality" of compute...
77
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Photocurrent Enhancement of Graphene Photodetectors by Photon Tunneling of Light into Surface Plasmons
We demonstrate that surface plasmon resonances excited by photon tunneling through an adjacent dielectric medium enhance photocurrent detected by a graphene photodetector. The device is created by overlaying a graphene sheet over an etched gap in a gold film deposited on glass. The detected photocurrents are compared...
44
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Utility maximisation and utility indifference price for exponential semi-martingale models with random factor
We consider utility maximization problem for semi-martingale models depending on a random factor $\xi$. We reduce initial maximization problem to the conditional one, given $\xi=u$, which we solve using dual approach. For HARA utilities we consider information quantities like Kullback-Leibler information and Hellinge...
66
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Double-Sided Markets with Strategic Multi-dimensional Players
We consider mechanisms for markets that are double-sided and have players with multi-dimensional strategic spaces on at least one side. The players of the market are strategic, and act to optimize their own utilities. The mechanism designer, on the other hand, aims to optimize a social goal, i.e., the gain from trade...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
Locally Simultaneous Inference
Selective inference is the problem of giving valid answers to statistical questions chosen in a data-driven manner. A standard solution to selective inference is simultaneous inference, which delivers valid answers to the set of all questions that could possibly have been asked. However, simultaneous inference can be...
77
[ 0, 0, 0, 0.5, 0, 0, 0, 0.5 ]
B+ANN: A Fast Billion-Scale Disk-based Nearest-Neighbor Index
Storing and processing of embedding vectors by specialized Vector databases (VDBs) has become the linchpin in building modern AI pipelines. Most current VDBs employ variants of a graph-based ap- proximate nearest-neighbor (ANN) index algorithm, HNSW, to an- swer semantic queries over stored vectors. Inspite of its wide...
00
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OpenML Benchmarking Suites
Machine learning research depends on objectively interpretable, comparable, and reproducible algorithm benchmarks. We advocate the use of curated, comprehensive suites of machine learning tasks to standardize the setup, execution, and reporting of benchmarks. We enable this through software tools that help to create ...
77
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Garbled Quantum Computation
The universal blind quantum computation protocol (UBQC) (Broadbent, Fitzsimons, Kashefi 2009) enables an almost classical client to delegate a quantum computation to an untrusted quantum server (in form of a garbled quantum computation) while the security for the client is unconditional. In this contribution we explo...
44
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Social dynamics of financial networks
The global financial crisis in 2007-2009 demonstrated that systemic risk can spread all over the world through a complex web of financial linkages, yet we still lack fundamental knowledge about the evolution of the financial web. In particular, interbank credit networks shape the core of the financial system, in whic...
66
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On controllers of prime ideals in group algebras of torsion-free abelian groups of finite rank
In the presented paper we consider some methods of studying of prime ideals in group algebras of abelian groups of finite rank
33
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A Closed-form Transceiver Design for Interference Alignment and Cancellation (IAC) in MIMO Interference Channel
For a K-user interference channel, the degree of freedom (DoF) which can be achieved through interference alignment (IA) is constrained to signal space dimension governed by the number of Tx/Rx antennas. To overcome this problem, IA can be combined with interference cancellation (IC), involving a new receiver archite...
22
[ 0, 0, 1, 0, 0, 0, 0, 0 ]
Blue-Noise Sampling on Graphs
In the area of graph signal processing, a graph is a set of nodes arbitrarily connected by weighted links; a graph signal is a set of scalar values associated with each node; and sampling is the problem of selecting an optimal subset of nodes from which a graph signal can be reconstructed. This paper proposes the use...
22
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Limits of bifractional Brownian noises
Let $B^{H,K}=(B^{H,K}_{t}, t\geq 0)$ be a bifractional Brownian motion with two parameters $H\in (0,1)$ and $K\in(0,1]$. The main result of this paper is that the increment process generated by the bifractional Brownian motion $(B^{H,K}_{h+t} -B^{H,K}_{h}, t\geq 0)$ converges when $h\to \infty$ to $(2^{(1-K)/{2}}B^{H...
33
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The structure of H2O shells in Mira atmospheres: Correlation with disk brightness distributions and a spectrophotometric signature
Dynamic models of M-type Mira variables predict the occurrence of water "shells", i.e. of zones of high H2O density and high H2O absorption inside the stellar atmosphere. The density, position and width of these shells is closely correlated with different types of two-component shapes of the intensity distribution on...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Continual Prediction from EHR Data for Inpatient Acute Kidney Injury
Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. In order to optimally predict AKI before it develops at any time during a hospital stay, we present a novel framework in which AKI is continually predicted automatically from EHR data over the entire hosp...
55
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Relative AR-correspondence, co-t-structure and silting pair
As a generalization of tilting pair, which was introduced by Miyashita in \cite{YM}, the notion of silting pair is introduced in this paper. The authors extends a characterization of tilting modules given by Bazzoni \cite[Theorem~3.11]{BS} to silting pairs, and proves that there is an one-to-one correspondence betwee...
33
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In Praise and in Criticism of the Model of Continuous Spontaneous Localization of the Wave-Function
Different attempts to solve the measurement problem of the quantum mechanics (QM) by denying the collapse principle, and replacing it with changes in the quantum formalism, failed because the changes in the formalism lead to contradictions with QM predictions. To the difference, Ghirardi, Rimini and Weber took the co...
44
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On optimality of mollifiers
Mollifiers are used in a variety of contexts, for instance to study the non-vanishing of $L$-functions. In this paper, we study the general question of finding optimal mollifiers and provide criteria to identify them provided the corresponding mollified moments can be computed. As an application, we study the non-vanis...
33
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Nonparametric Regression with Dyadic Data
This paper studies the identification and estimation of a nonparametric nonseparable dyadic model where the structural function and the distribution of the unobservable random terms are assumed to be unknown. The identification and the estimation of the distribution of the unobservable random term are also proposed. ...
11
[ 0, 1, 0, 0, 0, 0, 0, 0 ]
Modelling the Impact of Screening Men for Chlamydia Trachomatis on the Prevalence in Women
Chlamydia trachomatis is the most commonly reported infectious disease in the United States and causes important reproductive morbidity in women. The Centers for Disease Control and Prevention have recommended routine screening of sexually active women under age 25 but have not recommended screening among men. Conseq...
55
[ 0, 0, 0, 0, 0, 1, 0, 0 ]
Event-Triggered Design with Guaranteed Minimum Inter-Event Times and Lp Performance
In an event-based scenario, the system decides when to update the actuators based on a real time triggering condition on the measured signals. This condition can be defined in various forms and varies depending on the system properties and design problem. This paper proposes a framework to design the triggering condi...
22
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Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer
This paper introduces and reviews some of the principles and methods used in Bayesian reliability. It specifically discusses methods used in the analysis of success/no-success data and then reminds the reader of a simple Monte Carlo algorithm that can be used to calculate the posterior distribution of a system's reli...
77
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Extended Principal Component Analysis
Principal Component Analysis (PCA) is a transform for finding the principal components (PCs) that represent features of random data. PCA also provides a reconstruction of the PCs to the original data. We consider an extension of PCA which allows us to improve the associated accuracy and diminish the numerical load, i...
77
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On the potential of quantum walks for modeling financial return distributions
Accurate modeling of the temporal evolution of asset prices is crucial for understanding financial markets. We explore the potential of discrete-time quantum walks to model the evolution of asset prices. Return distributions obtained from a model based on the quantum walk algorithm are compared with those obtained fr...
66
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J-NeuS: Joint field optimization for Neural Surface reconstruction in urban scenes with limited image overlap
Reconstructing the surrounding surface geometry from recorded driving sequences poses a significant challenge due to the limited image overlap and complex topology of urban environments. SoTA neural implicit surface reconstruction methods often struggle in such setting, either failing due to small vision overlap or exh...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
Learning and Selfconfirming Equilibria in Network Games
Consider a set of agents who play a network game repeatedly. Agents may not know the network. They may even be unaware that they are interacting with other agents in a network. Possibly, they just understand that their payoffs depend on an unknown state that is, actually, an aggregate of the actions of their neighbor...
11
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FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces
Objective: To propose novel SSVEP classification methodologies using deep neural networks (DNNs) and improve performances in single-channel and user-independent brain-computer interfaces (BCIs) with small data lengths. Approach: We propose the utilization of filter banks (creating sub-band components of the EEG signa...
22
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The miscalibration of the honeybee odometer
We examine a series of articles on honeybee odometry and navigation published between 1996 and 2010, and find inconsistencies in results, duplicated figures, indications of data manipulation, and incorrect calculations. This suggests that redoing the experiments in question is warranted.
55
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Does Cancer Growth Depend on Surface Extension?
We argue that volumetric growth dynamics of a solid cancer depend on the tumor system's overall surface extension. While this at first may seem evident, to our knowledge, so far no theoretical argument has been presented explaining this relationship explicitly. In here, we therefore develop a conceptual framework bas...
55
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Adaptive Penalized Doubly Robust Regression for Longitudinal Data
Longitudinal data often involve heterogeneity, sparse signals, and contamination from response outliers or high-leverage observations especially in biomedical science. Existing methods usually address only part of this problem, either emphasizing penalized mixed effects modeling without robustness or robust mixed effec...
77
[ 0, 0, 0, 0.5, 0, 0, 0, 0.5 ]
New estimates of the convergence rate in the Lyapunov theorem
We investigate the convergence rate in the Lyapunov theorem when the third absolute moments exist. By means of convex analysis we obtain the sharp estimate for the distance in the mean metric between a probability distribution and its zero bias transformation. This bound allows to derive new estimates of the converge...
33
[ 0, 0, 0, 1, 0, 0, 0, 0 ]
A General Theory of the Stochastic Linear Bandit and Its Applications
Recent growing adoption of experimentation in practice has led to a surge of attention to multiarmed bandits as a technique to reduce the opportunity cost of online experiments. In this setting, a decision-maker sequentially chooses among a set of given actions, observes their noisy rewards, and aims to maximize her ...
00
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A Survey of Pathways for Mechano-Electric Coupling in the Atria
Mechano-electric coupling (MEC) in atrial tissue has received sparse investigation to date, despite the well-known association between chronic atrial dilation and atrial fibrillation (AF). Of note, no fewer than six different mechanisms pertaining to stretch-activated channels, cellular capacitance and geometric effe...
55
[ 0, 0, 0, 0, 0, 1, 0, 0 ]
Near Field Electric (NFE): Energy-efficient, High-speed Communication at Decimeter-range
Near-field technologies enable contactless payments, building access, automotive keyless entry, and supply chain tracking. Existing approaches face fundamental trade-offs: magnetic-based methods (NFC/NFMI) achieve low power but are limited to sub-megabit rates, while millimeter-wave techniques provide gigabits/sec conn...
22
[ 0, 0, 1, 0, 0, 0, 0, 0 ]
Generalizing Hamiltonian Monte Carlo with Neural Networks
We present a general-purpose method to train Markov chain Monte Carlo kernels, parameterized by deep neural networks, that converge and mix quickly to their target distribution. Our method generalizes Hamiltonian Monte Carlo and is trained to maximize expected squared jumped distance, a proxy for mixing speed. We dem...
77
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Spectral analysis of stationary random bivariate signals
A novel approach towards the spectral analysis of stationary random bivariate signals is proposed. Using the Quaternion Fourier Transform, we introduce a quaternion-valued spectral representation of random bivariate signals seen as complex-valued sequences. This makes possible the definition of a scalar quaternion-va...
77
[ 0, 0, 0, 0, 0, 0, 0, 1 ]
Boundedness of fractional operators in weighted variable exponent spaces with non doubling measures
In the context of variable exponent Lebesgue spaces equipped with a lower Ahlfors measure we obtain weighted norm inequalities over bounded domains for the centered fractional maximal function and the fractional integral operator.
33
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Impact of nonideal cycles on the efficiency of quantum heat engines
Given a quantum heat engine that operates in a cycle that reaches maximal efficiency for a time-dependent Hamiltonian H(t) of the working substance, with overall controllable driving H(t) = g(t) H, we study the deviation of the efficiency from the optimal value due to a generic time-independent perturbation in the Ha...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
The Black Death Anomaly: A Non-Abelian Field Theory of Epidemiological Safe Zones
Classical reaction-diffusion models of the 14th-century Black Death fail to explain the rapid genetic radiation of \textit{Yersinia pestis} and the anomalous emergence of vast, untouched geographic safe zones, such as Central Europe. In this work, we resolve these historical anomalies by embedding macroscopic pathogen ...
55
[ 0, 0, 0, 0, 0, 1, 0, 0 ]
Global Inflation Dynamics: regularities & forecasts
The analysis of dollar inflation performed by the authors through the approximation of empirical data for 1913-2012 with a power-law function with an accelerating log-periodic oscillation superimposed over it has made it possible to detect a quasi-singularity point around the 17th of December, 2012. It is demonstrate...
66
[ 0, 0, 0, 0, 0, 0, 1, 0 ]
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
We study the $K$-armed dueling bandit problem, a variation of the standard stochastic bandit problem where the feedback is limited to relative comparisons of a pair of arms. We introduce a tight asymptotic regret lower bound that is based on the information divergence. An algorithm that is inspired by the Determinist...
77
[ 0.5, 0, 0, 0, 0, 0, 0, 0.5 ]
Modular functors from non-semisimple 3d TFTs
Given a not necessarily semisimple modular tensor category C, we use the corresponding 3d TFT defined in [arXiv:1912.02063] to explicitly describe a modular functor as a symmetric monoidal 2-functor from a 2-category of oriented bordisms to a 2-category of finite linear categories. This recovers a result by Lyubashen...
33
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Has a Standard Physics Solution to the Solar Neutrino Problem Been Found? - a Response
In a recent paper Dar and Shaviv (1994) presented results of calculations with an improved standard solar model (SSM) that suggest a standard physics solution to the solar neutrino problem. In a subsequent publication with a similar title Bahcall et al. (1994) have claimed to refute the results obtained by Dar and Sh...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
The Epsilon Calculus with Equality and Herbrand Complexity
Hilbert's epsilon calculus is an extension of elementary or predicate calculus by a term-forming operator $\varepsilon$ and initial formulas involving such terms. The fundamental results about the epsilon calculus are so-called epsilon theorems, which have been proven by means of the epsilon elimination method. It is...
33
[ 0.5, 0, 0, 0.5, 0, 0, 0, 0 ]
Online Job Scheduling in Distributed Machine Learning Clusters
Nowadays large-scale distributed machine learning systems have been deployed to support various analytics and intelligence services in IT firms. To train a large dataset and derive the prediction/inference model, e.g., a deep neural network, multiple workers are run in parallel to train partitions of the input datase...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
A mean-field game model for homogeneous flocking
Empirically derived continuum models of collective behavior among large populations of dynamic agents are a subject of intense study in several fields, including biology, engineering and finance. We formulate and study a mean-field game model whose behavior mimics an empirically derived non-local homogeneous flocking...
44
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Dual-induced multifractality in online viewing activity
Although recent studies have found that the long-term correlations relating to the fat-tailed distribution of inter-event times exist in human activity, and that these correlations indicate the presence of fractality, the property of fractality and its origin have not been analyzed. We use both DFA and MFDFA to analy...
44
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A Comparative Study of Oscillatory Perturbations in Car-Following Models
As connected and autonomous vehicles become more widespread, platooning has emerged as a key strategy to improve road capacity, reduce fuel consumption, and enhance traffic flow. However, the benefits of platoons strongly depend on their ability to maintain stability. Instability can lead to unsafe spacing and increase...
22
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The Limits of Mathematics---The Book
This is a revised version of the course notes handed to each participant at the limits of mathematics short course, Orono, Maine, June 1994.
44
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Strong light-matter coupling in lead halide perovskite quantum dot solids
Strong coupling between lead halide perovskite materials and optical resonators enables both the polaritonic control of the photophysical properties of these emerging semiconductors and the observation of novel fundamental physical phenomena. However, the difficulty to achieve optical-quality perovskite quantum dot (...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Quantification of protein homodimer affinity using native mass spectrometry
Biological processes rely on finely tuned homo- and heteromeric interactions between (biomacro)molecules. The strength of an interaction, typically given by the dissociation constant (KD), plays a crucial role in basic research and must be monitored throughout the development of drugs and agrochemicals. An ideal method...
55
[ 0, 0, 0, 0, 0, 1, 0, 0 ]
Spectral Redundancy for Calibrating Interferometers and Suppressing the Foreground Wedge in 21cm Cosmology
Observations of 21cm line from neutral hydrogen promise to be an exciting new probe of astrophysics and cosmology during the Cosmic Dawn and through the Epoch of Reionization (EoR) to when dark energy accelerates the expansion of the Universe. At each of these epochs, separating bright foregrounds from the cosmologic...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Who is using AI to code? Global diffusion and impact of generative AI
Generative coding tools promise big productivity gains, but uneven uptake could widen skill and income gaps. We train a neural classifier to spot AI-generated Python functions in over 30 million GitHub commits by 170,000 developers, tracking how fast -- and where -- these tools take hold. Today, AI writes an estimated ...
00
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Mechanism Design with Information Leakage
We study the design of mechanisms -- e.g., auctions -- when the designer does not control information flows between mechanism participants. A mechanism equilibrium is leakage-proof if no player conditions their actions on leaked information; a property distinct from ex-post incentive compatibility. Only leakage-proof m...
11
[ 0, 1, 0, 0, 0, 0, 0, 0 ]
Mathematics of Differential Machine Learning in Derivative Pricing and Hedging
This article introduces the groundbreaking concept of the financial differential machine learning algorithm through a rigorous mathematical framework. Diverging from existing literature on financial machine learning, the work highlights the profound implications of theoretical assumptions within financial models on t...
66
[ 0.5, 0, 0, 0, 0, 0, 0.5, 0 ]
Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
Sentence Embedding stands as a fundamental task within the realm of Natural Language Processing, finding extensive application in search engines, expert systems, and question-and-answer platforms. With the continuous evolution of large language models such as LLaMA and Mistral, research on sentence embedding has rece...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
Causal reasoning in typical computer vision tasks
Deep learning has revolutionized the field of artificial intelligence. Based on the statistical correlations uncovered by deep learning-based methods, computer vision has contributed to tremendous growth in areas like autonomous driving and robotics. Despite being the basis of deep learning, such correlation is not s...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
Sound velocity peak and conformality in isospin QCD
We study zero temperature equations of state (EOS) in isospin QCD within a quark-meson model which is renormalizable and hence eliminates high density artifacts in models with the ultraviolet cutoff (e.g., NJL models). The model exhibits a crossover transition of pion condensations from the Bose-Einstein-Condensation...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Type II blow-up mechanism for supercritical harmonic map heat flow
The harmonic map heat flow is a geometric flow well known to produce solutions whose gradient blows up in finite time. A popular model for investigating the blow-up is the heat flow for maps $\mathbb R^{d}\to S^{d}$, restricted to equivariant maps. This model displays a variety of possible blow-up mechanisms, example...
33
[ 0, 0, 0, 1, 0, 0, 0, 0 ]
Finite-Time Trajectory Tracking of a Four wheeled Mecanum Mobile Robot
Four Wheeled Mecanum Robot (FWMR) possess the capability to move in any direction on a plane making it a cornerstone system in modern industrial operations. Despite the extreme maneuverability offered by FWMR, the practical implementation or real-time simulation of Mecanum wheel robots encounters substantial challeng...
22
[ 0.5, 0, 0.5, 0, 0, 0, 0, 0 ]
ZZ+jet production via gluon fusion at the LHC
Pair production of Z bosons in association with a hard jet is an important background for Higgs particle or new physics searches at the LHC. The loop-induced gluon-fusion process gg > ZZg contributes formally only at the next-to-next-to-leading order. Nevertheless, it can get enhanced by the large gluon flux at the L...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
On Some Properties of Finsler Manifolds of Stretch Curvature
Finsler metrics with relatively non-negative (non-positive, respectively), constant and isotropic stretch curvatures are investigated in this paper. In particular, it is proved that every non-Riemannian $(\alpha, \beta)$-metric with a nonzero constant flag curvature and a non-zero relatively isotropic stretch curvatu...
33
[ 0, 0, 0, 0.5, 0.5, 0, 0, 0 ]
The Optimal Decay Rate of Strong Solution for the Compressible Nematic Liquid Crystal Equations with Large Initial Data
This paper is devoted to establishing the optimal decay rate of the global large solution to compressible nematic liquid crystal equations when the initial perturbation is large and belongs to $L^1(\mathbb R^3)\cap H^2(\mathbb R^3)$. More precisely, we show that the first and second order spatial derivatives of large...
33
[ 0, 0, 0, 1, 0, 0, 0, 0 ]
1-stable fluctuations in branching Brownian motion at critical temperature I: the derivative martingale
Let $(Z_t)_{t\geq 0}$ denote the derivative martingale of branching Brownian motion, i.e.\@ the derivative with respect to the inverse temperature of the normalized partition function at critical temperature. A well-known result by Lalley and Sellke [\textit{Ann. Probab.}, 15(3):1052--1061, 1987] says that this marti...
33
[ 0, 0, 0, 0.5, 0.5, 0, 0, 0 ]
Viscosity characterization of the value function of an investment-consumption problem in presence of illiquid assets
We study a problem of optimal investment/consumption over an infinite horizon in a market consisting of a liquid and an illiquid asset. The liquid asset is observed and can be traded continuously, while the illiquid one can only be traded and observed at discrete random times corresponding to the jumps of a Poisson p...
66
[ 0, 0, 0, 0, 0, 0, 1, 0 ]
Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
The spatial composition and cellular heterogeneity of the tumor microenvironment plays a critical role in cancer development and progression. High-definition pathology imaging of tumor biopsies provide a high-resolution view of the spatial organization of different types of cells. This allows for systematic assessmen...
77
[ 0, 0, 0, 0, 0, 0, 0, 1 ]
Statistical Limits of Supervised Quantum Learning
Within the framework of statistical learning theory it is possible to bound the minimum number of samples required by a learner to reach a target accuracy. We show that if the bound on the accuracy is taken into account, quantum machine learning algorithms for supervised learning---for which statistical guarantees ar...
44
[ 0.3333333333333333, 0, 0, 0, 0.3333333333333333, 0, 0, 0.3333333333333333 ]
Duopoly insurers' incentives for data quality under a mandatory cyber data sharing regime
We study the impact of data sharing policies on cyber insurance markets. These policies have been proposed to address the scarcity of data about cyber threats, which is essential to manage cyber risks. We propose a Cournot duopoly competition model in which two insurers choose the number of policies they offer (i.e.,...
11
[ 0.5, 0.5, 0, 0, 0, 0, 0, 0 ]
Noise sensitivity in bootstrap percolation
Answering questions of Itai Benjamini, we show that the event of complete occupation in 2-neighbour bootstrap percolation on the d-dimensional box [n]^d, for d\geq 2, at its critical initial density p_c(n), is noise sensitive, while in k-neighbour bootstrap percolation on the d-regular random graph G_{n,d}, for 2\leq...
33
[ 0, 0, 0, 1, 0, 0, 0, 0 ]
Graph Neural Networks for Topological Feature Extraction in ECG Classification
The electrocardiogram (ECG) is a dependable instrument for assessing the function of the cardiovascular system. There has recently been much emphasis on precisely classifying ECGs. While ECG situations have numerous similarities, little attention has been paid to categorizing ECGs using graph neural networks. In this...
22
[ 0.5, 0, 0.5, 0, 0, 0, 0, 0 ]
k-hop Graph Neural Networks
Graph neural networks (GNNs) have emerged recently as a powerful architecture for learning node and graph representations. Standard GNNs have the same expressive power as the Weisfeiler-Leman test of graph isomorphism in terms of distinguishing non-isomorphic graphs. However, it was recently shown that this test cann...
77
[ 0.5, 0, 0, 0, 0, 0, 0, 0.5 ]
On the simulation of the Hawkes process via Lambert-W functions
Several methods have been developed for the simulation of the Hawkes process. The oldest approach is the inverse sampling transform (ITS) suggested in \citep{ozaki1979maximum}, but rapidly abandoned in favor of more efficient alternatives. This manuscript shows that the ITS approach can be conveniently discussed in t...
11
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Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
The grade of clear cell renal cell carcinoma (ccRCC) is a critical prognostic factor, making ccRCC nuclei grading a crucial task in RCC pathology analysis. Computer-aided nuclei grading aims to improve pathologists' work efficiency while reducing their misdiagnosis rate by automatically identifying the grades of tumo...
22
[ 0.5, 0, 0.5, 0, 0, 0, 0, 0 ]
Exotic roton excitations in quadrupolar Bose-Einstein condensates
We investigate the occurrence of rotons in a quadrupolar Bose-Einstein condensate confined to two dimensions. Depending on the particle density, the ratio of the contact and quadrupole-quadrupole interactions, and the alignment of the quadrupole moments with respect to the confinement plane, the dispersion relation f...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
We propose a novel deep layer cascade (LC) method to improve the accuracy and speed of semantic segmentation. Unlike the conventional model cascade (MC) that is composed of multiple independent models, LC treats a single deep model as a cascade of several sub-models. Earlier sub-models are trained to handle easy and ...
00
[ 1, 0, 0, 0, 0, 0, 0, 0 ]
Observability and Synchronization of Neuron Models
Observability is the property that enables to distinguish two different locations in $n$-dimensional state space from a reduced number of measured variables, usually just one. In high-dimensional systems it is therefore important to make sure that the variable recorded to perform the analysis conveys good observabili...
55
[ 0, 0, 0, 0, 0.5, 0.5, 0, 0 ]
Anatomy of the Class I protostar L1489 IRS with NOEMA -- I. Disk, streamers, outflow(s) and bubbles at 3mm
Over the past few years, chemical studies have revealed multiple structures in the vicinity of young stellar objects (YSOs). It has become evident that specific physical conditions are associated with the emission of particular molecular lines, allowing us to use molecular probes of the YSO physics. Consequently, che...
44
[ 0, 0, 0, 0, 1, 0, 0, 0 ]
Non-separability of Physical Systems as a Foundation of Consciousness
A hypothesis is presented that non-separability of degrees of freedom is the fundamental property underlying consciousness in physical systems. The amount of consciousness in a system is determined by the extent of non-separability and the number of degrees of freedom involved. Non-interacting and feedforward systems...
55
[ 0, 0, 0, 0, 0.5, 0.5, 0, 0 ]
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities
Upgrades to advanced scientific user facilities such as next-generation x-ray light sources, nanoscience centers, and neutron facilities are revolutionizing our understanding of materials across the spectrum of the physical sciences, from life sciences to microelectronics. However, these facility and instrument upgra...
00
[ 0.5, 0, 0, 0, 0.5, 0, 0, 0 ]
Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond
The Finite Selection Model (FSM) was developed by Carl Morris in the 1970s for the design of the RAND Health Insurance Experiment (HIE) (Morris 1979, Newhouse et al. 1993), one of the largest and most comprehensive social science experiments conducted in the U.S. The idea behind the FSM is that each treatment group t...
77
[ 0, 0, 0, 0, 0, 0, 0, 1 ]
Predicting Credit Default Probabilities Using Bayesian Statistics and Monte Carlo Simulations
Banks and financial institutions all over the world manage portfolios containing tens of thousands of customers. Not all customers are high credit-worthy, and many possess varying degrees of risk to the Bank or financial institutions that lend money to these customers. Hence assessment of credit risk is paramount in ...
77
[ 0, 0, 0, 0, 0, 0, 0.5, 0.5 ]
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