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arxiv_dataset-194002310.17743
StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation cs.CL Stylistic headline generation is the task to generate a headline that not only summarizes the content of an article, but also reflects a desired style that attracts users. As style-specific article-headli...
arxiv topic:cs.CL
arxiv_dataset-194012310.17843
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing cs.LG cs.GT Data fuels machine learning (ML) - rich and high-quality training data is essential to the success of ML. However, to transform ML from the race among a few large corporations to an accessible technology that serves numerous ...
arxiv topic:cs.LG cs.GT
arxiv_dataset-194022310.17943
Low-Complexity and Information-Theoretic Optimal Memory AMP for Coded Generalized MIMO cs.IT math.IT This paper considers a generalized multiple-input multiple-output (GMIMO) with practical assumptions, such as massive antennas, practical channel coding, arbitrary input distributions, and general right-unitarily-...
arxiv topic:cs.IT math.IT
arxiv_dataset-194032310.18043
Interior Eigensolver Based on Rational Filter with Composite rule math.NA cs.NA Contour-integral-based rational filter leads to interior eigensolvers for non-Hermitian generalized eigenvalue problems. Based on Zolotarev's third problem, this paper proves the asymptotic optimality of the trapezoidal quadrature of th...
arxiv topic:math.NA cs.NA
arxiv_dataset-194042310.18143
A central limit theorem for random disc-polygons in smooth convex discs math.MG math.PR In this paper we prove a quantitative central limit theorem for the area of uniform random disc-polygons in smooth convex discs whose boundary is $C^2_+$. We use Stein's method and the asymptotic lower bound for the variance of ...
arxiv topic:math.MG math.PR
arxiv_dataset-194052310.18243
Quantum-inspired attribute selection algorithm: A Fidelity-based Quantum Decision Tree quant-ph A classical decision tree is completely based on splitting measures, which utilize the occurrence of random events in correspondence to its class labels in order to optimally segregate datasets. However, the splitting ...
arxiv topic:quant-ph
arxiv_dataset-194062310.18343
PHD: Pixel-Based Language Modeling of Historical Documents cs.CL The digitisation of historical documents has provided historians with unprecedented research opportunities. Yet, the conventional approach to analysing historical documents involves converting them from images to text using OCR, a process that overloo...
arxiv topic:cs.CL
arxiv_dataset-194072310.18443
Towards a fuller understanding of neurons with Clustered Compositional Explanations cs.LG cs.AI Compositional Explanations is a method for identifying logical formulas of concepts that approximate the neurons' behavior. However, these explanations are linked to the small spectrum of neuron activations (i.e., the ...
arxiv topic:cs.LG cs.AI
arxiv_dataset-194082310.18543
Robust Graph Matching when Nodes are Corrupt math.ST stat.AP stat.TH Two models are introduced to investigate graph matching in the presence of corrupt nodes. The weak model, inspired by biological networks, allows one or both networks to have a positive fraction of molecular entities interact randomly with their n...
arxiv topic:math.ST stat.AP stat.TH
arxiv_dataset-194092310.18643
The Simultaneous Lattice Packing-Covering Constant of Octahedra math.CO This paper proves that the simultaneous lattice packing-covering constant of an octahedron is $7/6$. In other words, $7/6$ is the smallest positive number $r$ such that for every octahedron $O$ centered at the origin there is a lattice $\Lambda...
arxiv topic:math.CO
arxiv_dataset-194102310.18743
Optimization of utility-based shortfall risk: A non-asymptotic viewpoint cs.LG We consider the problems of estimation and optimization of utility-based shortfall risk (UBSR), which is a popular risk measure in finance. In the context of UBSR estimation, we derive a non-asymptotic bound on the mean-squared error of ...
arxiv topic:cs.LG
arxiv_dataset-194112310.18843
Ultralong-term high-density data storage with atomic defects in SiC cond-mat.mtrl-sci There is an urgent need to increase the global data storage capacity, as current approaches lag behind the exponential growth of data generation driven by the Internet, social media and cloud technologies. In addition to increasin...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-194122310.18943
Dyanmics of falling raindrops physics.flu-dyn physics.data-an Studying water droplets is a rich lesson in fields of fluid dynamics, nonlinear systems, and differential equations. Understanding various physical aspects of raindrops can help us in understanding drop dynamics, rainfall density estimation, size distrib...
arxiv topic:physics.flu-dyn physics.data-an
arxiv_dataset-194132310.19043
Differentially Private Permutation Tests: Applications to Kernel Methods math.ST cs.CR cs.LG stat.ME stat.ML stat.TH Recent years have witnessed growing concerns about the privacy of sensitive data. In response to these concerns, differential privacy has emerged as a rigorous framework for privacy protection, gaini...
arxiv topic:math.ST cs.CR cs.LG stat.ME stat.ML stat.TH
arxiv_dataset-194142310.19143
Quantum-Acoustical Drude Peak Shift quant-ph Quantum acoustics -- a recently developed framework parallel to quantum optics -- establishesa nonperturbative and coherent treatment of the electron-phonon interaction in real space. The quantum-acoustical representation reveals a displaced Drude peak hid ing in plain s...
arxiv topic:quant-ph
arxiv_dataset-194152310.19243
Electromagnetic current operators for phenomenological relativistic models nucl-th hep-ph Background: Phenomenological Poincar\'e invariant quantum mechanical models can provide an efficient description of the dynamics of strongly interacting particles that is consistent with spectral and scattering observables. ...
arxiv topic:nucl-th hep-ph
arxiv_dataset-194162310.19343
Quantile Super Learning for independent and online settings with application to solar power forecasting stat.ME Estimating quantiles of an outcome conditional on covariates is of fundamental interest in statistics with broad application in probabilistic prediction and forecasting. We propose an ensemble method fo...
arxiv topic:stat.ME
arxiv_dataset-194172310.19443
Asymptotically accurate and locking-free finite element implementation of first order shear deformation theory for plates math.NA cs.NA physics.class-ph A formulation of the asymptotically exact first-order shear deformation theory for linear-elastic homogeneous plates in the rescaled coordinates and rotation ang...
arxiv topic:math.NA cs.NA physics.class-ph
arxiv_dataset-194182310.19543
Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models econ.EM This paper introduces new techniques for estimating, identifying and simulating mixed causal-noncausal invertible-noninvertible models. We propose a framework that integrates high-order cumulants, merging both...
arxiv topic:econ.EM
arxiv_dataset-194192310.19643
Polemical Case Study of Opinion Dynamics:Patterns of Filter Bubbles in Non-Consensus, Rewire Phenomena physics.soc-ph In this paper, we will review some of the issues that have been raised by opinion dynamics theory to date. In particular, we conducted a hypothesis-based simulation using a socio-physical approach...
arxiv topic:physics.soc-ph
arxiv_dataset-194202310.19743
Tell Me What Is Good About This Property: Leveraging Reviews For Segment-Personalized Image Collection Summarization cs.LG cs.CV Image collection summarization techniques aim to present a compact representation of an image gallery through a carefully selected subset of images that captures its semantic content. W...
arxiv topic:cs.LG cs.CV
arxiv_dataset-194212310.19843
Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach cs.LG cs.AI cs.NE Currently, almost all direct marketing activities take place virtually rather than in person, weakening interpersonal skills at an alarming pace. Furthermore...
arxiv topic:cs.LG cs.AI cs.NE
arxiv_dataset-194222310.19943
The Acquisition of Physical Knowledge in Generative Neural Networks cs.LG q-bio.NC As children grow older, they develop an intuitive understanding of the physical processes around them. Their physical understanding develops in stages, moving along developmental trajectories which have been mapped out extensively in...
arxiv topic:cs.LG q-bio.NC
arxiv_dataset-194232310.20043
On the Universality of Energy Extraction from Black Hole Spacetimes gr-qc astro-ph.GA astro-ph.HE The launching of astrophysical jets provides the most compelling observational evidence for direct extraction of black hole (BH) spin energy via the Blandford-Znajek (BZ) mechanism. Whilst it is know that spinning Kerr...
arxiv topic:gr-qc astro-ph.GA astro-ph.HE
arxiv_dataset-194242310.20143
Low regularity solutions for the surface quasi-geostrophic front equation math.AP In this article we consider the low regularity well-posedness of the surface quasi-geostrophic (SQG) front equation. Recent work on other quasilinear models, including the gravity water waves system and nonlinear waves, have demonst...
arxiv topic:math.AP
arxiv_dataset-194252310.20243
Contrast-agent-induced deterministic component of CT-density in the abdominal aorta during routine angiography: proof of concept study cs.CV cs.SE Background and objective: CTA is a gold standard of preoperative diagnosis of abdominal aorta and typically used for geometric-only characteristic extraction. We assum...
arxiv topic:cs.CV cs.SE
arxiv_dataset-194262310.20343
Large Multi-modal Encoders for Recommendation cs.IR cs.MM In recent years, the rapid growth of online multimedia services, such as e-commerce platforms, has necessitated the development of personalised recommendation approaches that can encode diverse content about each item. Indeed, modern multi-modal recommender ...
arxiv topic:cs.IR cs.MM
arxiv_dataset-194272310.20443
Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines cs.AI cs.DB cs.DL cs.IR In applied mathematics and related disciplines, the modeling-simulation-optimization workflow is a prominent scheme, with mathematical models and numerical algorithms playing a crucial role. For these types...
arxiv topic:cs.AI cs.DB cs.DL cs.IR
arxiv_dataset-194282310.20543
Berry Curvature Dipole and its Strain Engineering in Layered Phosphorene cond-mat.mes-hall cond-mat.mtrl-sci The emergence of the fascinating non-linear Hall effect intrinsically depends on the non-zero value of the Berry curvature dipole. In this work, we predict that suitable strain engineering in layered van der...
arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci
arxiv_dataset-194292310.20643
Sharp quantitative stability of the Brunn-Minkowski inequality math.AP math.MG The Brunn-Minkowski inequality states that for bounded measurable sets $A$ and $B$ in $\mathbb{R}^n$, we have $|A+B|^{1/n} \geq |A|^{1/n}+|B|^{1/n}$. Also, equality holds if and only if $A$ and $B$ are convex and homothetic sets in $\mat...
arxiv topic:math.AP math.MG
arxiv_dataset-194302311.00033
Comprehensive constraints on heavy sterile neutrinos from core-collapse supernovae hep-ph Sterile neutrinos with masses up to $\mathcal{O} (100)$ MeV can be copiously produced in a supernova (SN) core, through the mixing with active neutrinos. In this regard the SN 1987A detection of neutrino events has been used...
arxiv topic:hep-ph
arxiv_dataset-194312311.00133
Sizes of Countable Sets math.LO math.HO The paper introduces the notion of the size of countable sets that preserves the Part-Whole Principle and generalizes the notion of the cardinality of finite sets. The sizes of natural numbers, integers, rational numbers, and all their subsets, unions, and Cartesian products ...
arxiv topic:math.LO math.HO
arxiv_dataset-194322311.00233
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions cs.CL While instruction-tuned language models have demonstrated impressive zero-shot generalization, these models often struggle to generate accurate responses when faced with instructions that fall outside thei...
arxiv topic:cs.CL
arxiv_dataset-194332311.00333
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions cs.IR Legal case retrieval aims to help legal workers find relevant cases related to their cases at hand, which is important for the guarantee of fairness and justice in legal judgments. While recent advances in neural retrieval me...
arxiv topic:cs.IR
arxiv_dataset-194342311.00433
Decentralized PI-control and Anti-windup in Resource Sharing Networks eess.SY cs.SY We consider control of multiple stable first-order \review{agents} which have a control coupling described by an M-matrix. These agents are subject to incremental sector-bounded \review{input} nonlinearities. We show that such plant...
arxiv topic:eess.SY cs.SY
arxiv_dataset-194352311.00533
The Eclipse Layout Kernel cs.DS The Eclipse Layout Kernel (ELK) is a collection of graph drawing algorithms that supports compound graph layout and ports as explicit anchor points of edges. It is available as open-source library under an EPL license. Since its beginning, ELK has served both as a research vehicle fo...
arxiv topic:cs.DS
arxiv_dataset-194362311.00633
Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten cond-mat.mtrl-sci We propose an efficient ab initio framework to compute the Gibbs energy of the transition state in vacancy-mediated diffusion including the relevant thermal excitations at density-functional-theor...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-194372311.00733
SAT Solving Using XOR-OR-AND Normal Forms cs.LO math.AC math.LO This paper introduces the XOR-OR-AND normal form (XNF) for logical formulas. It is a generalization of the well-known Conjunctive Normal Form (CNF) where literals are replaced by XORs of literals. As a first theoretic result, we show that every CNF for...
arxiv topic:cs.LO math.AC math.LO
arxiv_dataset-194382311.00833
HIDM: Emulating Large Scale HI Maps using Score-based Diffusion Models astro-ph.CO astro-ph.IM Efficiently analyzing maps from upcoming large-scale surveys requires gaining direct access to a high-dimensional likelihood and generating large-scale fields with high fidelity, which both represent major challenges. Usi...
arxiv topic:astro-ph.CO astro-ph.IM
arxiv_dataset-194392311.00933
From O(3) to Cubic CFT: Conformal Perturbation and the Large Charge Sector hep-th cond-mat.stat-mech The Cubic CFT can be understood as the O(3) invariant CFT perturbed by a slightly relevant operator. In this paper, we use conformal perturbation theory together with the conformal data of the O(3) vector model to...
arxiv topic:hep-th cond-mat.stat-mech
arxiv_dataset-194402311.01033
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction cs.LG cs.AI cs.SI Continuous-time long-term event prediction plays an important role in many application scenarios. Most existing works rely on autoregressive frameworks to predict event sequences, which suf...
arxiv topic:cs.LG cs.AI cs.SI
arxiv_dataset-194412311.01133
A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers cs.RO This paper presents a Bayesian optimization framework for the automatic tuning of shared controllers which are defined as a Model Predictive Control (MPC) problem. The proposed framework includes the design of perform...
arxiv topic:cs.RO
arxiv_dataset-194422311.01233
Long Story Short: a Summarize-then-Search Method for Long Video Question Answering cs.CV cs.AI Large language models such as GPT-3 have demonstrated an impressive capability to adapt to new tasks without requiring task-specific training data. This capability has been particularly effective in settings such as nar...
arxiv topic:cs.CV cs.AI
arxiv_dataset-194432311.01333
A coadjoint orbit-like construction for Jordan superalgebras math.DG We investigate the canonical pseudo-Riemannian metrics associated with Jordan-analogues of the coadjoint orbits for pseudo-Euclidean Jordan superalgebras.
arxiv topic:math.DG
arxiv_dataset-194442311.01433
A Comprehensive Study of Governance Issues in Decentralized Finance Applications cs.SE Decentralized Finance (DeFi) is a prominent application of smart contracts, representing a novel financial paradigm in contrast to centralized finance. While DeFi applications are rapidly emerging on mainstream blockchain platf...
arxiv topic:cs.SE
arxiv_dataset-194452311.01533
All you need is Trotter quant-ph The work here enables linear cost-scaling with evolution time $t$ while keeping ${\rm polylog} (1/\epsilon)$ scaling and no extra block-encoding qubits, where $\epsilon$ is the algorithmic error. This is achieved through product formulas, stable interpolation (Chebyshev), and to cal...
arxiv topic:quant-ph
arxiv_dataset-194462311.01633
Fronts under arrest II: analytical foundations math.AP nlin.PS We study a class of minimal geometric partial differential equations that serves as a framework to understand the evolution of boundaries between states in different pattern forming systems. The framework combines normal growth, curvature flow and nonlo...
arxiv topic:math.AP nlin.PS
arxiv_dataset-194472311.01733
Independent domination stability in graphs math.CO A non-empty set $S\subseteq V (G)$ of the simple graph $G=(V(G),E(G))$ is an independent dominating set of $G$ if every vertex not in $S$ is adjacent with some vertex in $S$ and the vertices of $S$ are pairwise non-adjacent. The independent domination number of $G$...
arxiv topic:math.CO
arxiv_dataset-194482311.01833
Similarity network aggregation for the analysis of glacier ecosystems cs.SI stat.AP stat.ME The synthesis of information deriving from complex networks is a topic receiving increasing relevance in ecology and environmental sciences. In particular, the aggregation of multilayer networks, i.e. network structures form...
arxiv topic:cs.SI stat.AP stat.ME
arxiv_dataset-194492311.01933
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting cs.LG The vast majority of time-series forecasting approaches require a substantial training dataset. However, many real-life forecasting applications have very little initial observations, sometimes just 40 or fewer. Thus, the applicability of most forecasti...
arxiv topic:cs.LG
arxiv_dataset-194502311.02033
Testing Quantum Gravity using Pulsed Optomechanical Systems quant-ph gr-qc An interesting idea, dating back to Feynman, argues that quantum mechanics may break down for large masses if one entertains the possibility that gravity can be "classical", thereby leading to predictions different from conventional low-ener...
arxiv topic:quant-ph gr-qc
arxiv_dataset-194512311.02133
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates eess.SY cs.AI cs.RO cs.SY Safety-critical control tasks with high levels of uncertainty are becoming increasingly common. Typically, techniques that guarantee safety during learning and control utilize constraint-based ...
arxiv topic:eess.SY cs.AI cs.RO cs.SY
arxiv_dataset-194522311.02233
On quantum measurement physics.gen-ph We propose a solution to the quantum measurement paradox by first identifying its classical counterpart.
arxiv topic:physics.gen-ph
arxiv_dataset-194532311.02333
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision cs.LG q-bio.GN This paper presents the Ensemble Nucleotide Byte-level Encoder-Decoder (ENBED) foundation model, analyzing DNA sequences at byte-level precision with an encoder-decoder Transformer architectu...
arxiv topic:cs.LG q-bio.GN
arxiv_dataset-194542311.02433
Can ChatGPT support software verification? cs.SE cs.AI cs.FL cs.LG cs.LO Large language models have become increasingly effective in software engineering tasks such as code generation, debugging and repair. Language models like ChatGPT can not only generate code, but also explain its inner workings and in particula...
arxiv topic:cs.SE cs.AI cs.FL cs.LG cs.LO
arxiv_dataset-194552311.02533
Precision ground-state energy calculation for the water molecule on a superconducting quantum processor quant-ph physics.chem-ph The accurate computation of properties of large molecular systems is classically infeasible and is one of the applications in which it is hoped that quantum computers will demonstrate a...
arxiv topic:quant-ph physics.chem-ph
arxiv_dataset-194562311.02633
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery cs.CV Recent works have shown that objects discovery can largely benefit from the inherent motion information in video data. However, these methods lack a proper background processing, resulting in an over-segmentation of the non-object...
arxiv topic:cs.CV
arxiv_dataset-194572311.02733
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection cs.CV cs.AI cs.LG cs.MM cs.SD eess.AS Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread...
arxiv topic:cs.CV cs.AI cs.LG cs.MM cs.SD eess.AS
arxiv_dataset-194582311.02833
CESAR: Control Envelope Synthesis via Angelic Refinements eess.SY cs.LO cs.SY This paper presents an approach for synthesizing provably correct control envelopes for hybrid systems. Control envelopes characterize families of safe controllers and are used to monitor untrusted controllers at runtime. Our algorithm fi...
arxiv topic:eess.SY cs.LO cs.SY
arxiv_dataset-194592311.02933
Calder\'on-Zygmund estimates for nonlinear equations of differential forms with BMO coefficients math.AP We obtain $L^q$-regularity estimates for weak solutions to $p$-Laplacian type equations of differential forms. In particular, we prove local Calder\'on-Zygmund type estimates for equations with discontinuous c...
arxiv topic:math.AP
arxiv_dataset-194602311.03033
Beyond Words: A Mathematical Framework for Interpreting Large Language Models cs.LG cs.AI Large language models (LLMs) are powerful AI tools that can generate and comprehend natural language text and other complex information. However, the field lacks a mathematical framework to systematically describe, compare a...
arxiv topic:cs.LG cs.AI
arxiv_dataset-194612311.03133
Incorporating basic calibrations in existing machine-learned turbulence modeling physics.flu-dyn This work aims to incorporate basic calibrations of Reynolds-averaged Navier-Stokes (RANS) models as part of machine learning (ML) frameworks. The ML frameworks considered are tensor-basis neural network (TBNN), physi...
arxiv topic:physics.flu-dyn
arxiv_dataset-194622311.03233
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training cs.LG cs.CV In recent years, the state-of-the-art in deep learning has been dominated by very large models that have been pre-trained on vast amounts of data. The paradigm is very simple: investing more computational resources (optimally) leads ...
arxiv topic:cs.LG cs.CV
arxiv_dataset-194632311.03333
Impact of a mean field dynamo on neutron star mergers leading to magnetar remnants astro-ph.HE We investigate the impact of a mean field model for the $\alpha\Omega$-dynamo potentially active in the post-merger phase of a binary neutron star coalescence. We do so by deriving equations for ideal general relativist...
arxiv topic:astro-ph.HE
arxiv_dataset-194642311.03433
Boson stars with nonlinear sigma models gr-qc astro-ph.HE hep-th Boson stars arise as solutions of a massive complex scalar field coupled to gravity. A variety of scalar potentials, giving rise to different types of boson stars, have been studied in the literature. Here we study instead the effect of promoting the ...
arxiv topic:gr-qc astro-ph.HE hep-th
arxiv_dataset-194652311.03533
Quantifying Uncertainty in Natural Language Explanations of Large Language Models cs.CL Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens th...
arxiv topic:cs.CL
arxiv_dataset-194662311.03633
Innovation and Word Usage Patterns in Machine Learning cs.LG cs.CL In this study, we delve into the dynamic landscape of machine learning research evolution. Initially, through the utilization of Latent Dirichlet Allocation, we discern pivotal themes and fundamental concepts that have emerged within the realm of ma...
arxiv topic:cs.LG cs.CL
arxiv_dataset-194672311.03733
Improved weight initialization for deep and narrow feedforward neural network cs.LG cs.NE Appropriate weight initialization settings, along with the ReLU activation function, have become cornerstones of modern deep learning, enabling the training and deployment of highly effective and efficient neural network mod...
arxiv topic:cs.LG cs.NE
arxiv_dataset-194682311.03833
Superized Leznov-Saveliev equations as the zero-curvature condition on a reduced connection math-ph hep-th math.MP The equations of open 2-dimensional Toda lattice (TL) correspond to Leznov-Saveliev equations (LSE) interpreted as zero-curvature Yang-Mills equations on the variety of $O(3)$-orbits on the Minkowski...
arxiv topic:math-ph hep-th math.MP
arxiv_dataset-194692311.03933
Reversed Hardy-Littlewood-Sobolev inequalities with vertical weights on the upper half space math.AP In this paper, we obtain the reversed Hardy-Littlewood-Sobolev inequality with vertical weights on the upper half space and discuss the extremal functions. We show that the sharp constants in this inequality are a...
arxiv topic:math.AP
arxiv_dataset-194702311.04033
Search for a CP-odd Higgs boson decaying into a heavy CP-even Higgs boson and a $Z$ boson in the $\ell^+\ell^- t\bar{t}$ and $\nu\bar{\nu}b\bar{b}$ final states using 140 fb$^{-1}$ of data collected with the ATLAS detector hep-ex A search for a heavy CP-odd Higgs boson, $A$, decaying into a $Z$ boson and a he...
arxiv topic:hep-ex
arxiv_dataset-194712311.04133
Simple Bundles of Complex Networks cs.SI Complex networks can be used to represent and model an ample diversity of abstract and real-world systems and structures. A good deal of the research on these structures has focused on specific topological properties, including node degree, shortest paths, and modularity. In...
arxiv topic:cs.SI
arxiv_dataset-194722311.04233
A Short Report on the Probability-Based Interpretation of Quantum Mechanics quant-ph math.PR This paper calls attention to the current state of the probability (P) domain which presents weak points at the mathematical level and more significant flaws at the application level. Popper notices how fundamental issues...
arxiv topic:quant-ph math.PR
arxiv_dataset-194732311.04333
Practical Parallel Algorithms for Near-Optimal Densest Subgraphs on Massive Graphs cs.DS cs.DC The densest subgraph problem has received significant attention, both in theory and in practice, due to its applications in problems such as community detection, social network analysis, and spam detection. Due to the h...
arxiv topic:cs.DS cs.DC
arxiv_dataset-194742311.04433
SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA) cs.CR Zero Involvement Pairing and Authentication (ZIPA) is a promising technique for auto-provisioning large networks of Internet-of-Things (IoT) devices. Presently, these networks use password-base...
arxiv topic:cs.CR
arxiv_dataset-194752311.04533
Improved Approximations for Ultrametric Violation Distance cs.DS We study the Ultrametric Violation Distance problem introduced by Cohen-Addad, Fan, Lee, and Mesmay [FOCS, 2022]. Given pairwise distances $x\in \mathbb{R}_{>0}^{\binom{[n]}{2}}$ as input, the goal is to modify the minimum number of distances so as to...
arxiv topic:cs.DS
arxiv_dataset-194762311.04633
General Framework to Evaluate Unlinkability in Biometric Template Protection Systems cs.CV The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometr...
arxiv topic:cs.CV
arxiv_dataset-194772311.04733
The High Energy X-ray Probe (HEX-P): Studying Extreme Accretion with Ultraluminous X-ray Sources astro-ph.HE astro-ph.IM Ultraluminous X-ray sources (ULXs) represent an extreme class of accreting compact objects: from the identification of some of the accretors as neutron stars to the detection of powerful winds ...
arxiv topic:astro-ph.HE astro-ph.IM
arxiv_dataset-194782311.04833
Anonymizing medical case-based explanations through disentanglement cs.CV Case-based explanations are an intuitive method to gain insight into the decision-making process of deep learning models in clinical contexts. However, medical images cannot be shared as explanations due to privacy concerns. To address this p...
arxiv topic:cs.CV
arxiv_dataset-194792311.04933
Evaluating Large Language Models in Ophthalmology cs.CL cs.AI Purpose: The performance of three different large language models (LLMS) (GPT-3.5, GPT-4, and PaLM2) in answering ophthalmology professional questions was evaluated and compared with that of three different professional populations (medical undergraduate...
arxiv topic:cs.CL cs.AI
arxiv_dataset-194802311.05033
Distribution-free tests for lossless feature selection in classification and regression math.ST stat.TH We study the problem of lossless feature selection for a $d$-dimensional feature vector $X=(X^{(1)},\dots ,X^{(d)})$ and label $Y$ for binary classification as well as nonparametric regression. For an index set...
arxiv topic:math.ST stat.TH
arxiv_dataset-194812311.05133
Materials Properties Prediction (MAPP): Empowering the prediction of material properties solely based on chemical formulas cond-mat.mtrl-sci physics.chem-ph Predicting material properties has always been a challenging task in materials science. With the emergence of machine learning methodologies, new avenues hav...
arxiv topic:cond-mat.mtrl-sci physics.chem-ph
arxiv_dataset-194822311.05233
Modules over invertible 1-cocycles math.RA In this paper we introduce in a braided setting the notion of left module for an invertible 1-cocycle and we prove some categorical equivalences between categories of modules associated to an invertible 1-cocycle and categories of modules associated to Hopf braces.
arxiv topic:math.RA
arxiv_dataset-194832311.05333
$L^p$ coarse Baum-Connes conjecture via $C_{0}$ coarse geometry math.FA math.KT math.OA In this paper, we investigate the $L^{p}$ coarse Baum-Connes conjecture for $p\in [1,\infty)$ via $C_{0}$ coarse structure, which is a refinement of the bounded coarse structure on a metric space. We prove the $C_{0}$ version of...
arxiv topic:math.FA math.KT math.OA
arxiv_dataset-194842311.05433
Dimension growth for affine varieties math.NT math.AG We prove uniform upper bounds on the number of integral points of bounded height on affine varieties. If $X$ is an irreducible affine variety of degree $d\geq 4$ in $\mathbb{A}^n$ which is not the preimage of a curve under a linear map $\mathbb{A}^n\to \mathbb{A...
arxiv topic:math.NT math.AG
arxiv_dataset-194852311.05533
Building Hamiltonian Cycles in the Semi-Random Graph Process in Less Than $2n$ Rounds math.CO cs.DM The semi-random graph process is an adaptive random graph process in which an online algorithm is initially presented an empty graph on $n$ vertices. In each round, a vertex $u$ is presented to the algorithm indepe...
arxiv topic:math.CO cs.DM
arxiv_dataset-194862311.05633
3D Printed Architectured Silicones with Autonomic Self-healing and Creep-resistant Behavior cond-mat.soft cond-mat.mtrl-sci Self-healing silicones that are able to restore the functionalities and extend the lifetime of soft devices hold great potential in many applications. However, currently available silicones ...
arxiv topic:cond-mat.soft cond-mat.mtrl-sci
arxiv_dataset-194872311.05733
LogShield: A Transformer-based APT Detection System Leveraging Self-Attention cs.CR cs.LG Cyber attacks are often identified using system and network logs. There have been significant prior works that utilize provenance graphs and ML techniques to detect attacks, specifically advanced persistent threats, which ar...
arxiv topic:cs.CR cs.LG
arxiv_dataset-194882311.05833
Room-temperature ferromagnetism in epitaxial bilayer FeSb/SrTiO3(001) terminated with a Kagome lattice cond-mat.mtrl-sci Two-dimensional (2D) magnets exhibit unique physical properties for potential applications in spintronics. To date, most 2D ferromagnets are obtained by mechanical exfoliation of bulk materials...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-194892311.05933
Benchmarking Quantum Processor Performance at Scale quant-ph As quantum processors grow, new performance benchmarks are required to capture the full quality of the devices at scale. While quantum volume is an excellent benchmark, it focuses on the highest quality subset of the device and so is unable to indicate th...
arxiv topic:quant-ph
arxiv_dataset-194902311.06033
Posets for $F$-polynomials in cluster algebras from surfaces math.CO math.RT We prove a simple formula for arbitrary cluster variables in the marked surfaces model. As part of the formula, we associate a labeled poset to each tagged arc, such that the associated $F$-polynomial is a weighted sum of order ideals. Eac...
arxiv topic:math.CO math.RT
arxiv_dataset-194912311.06133
Characterization of non-adaptive Clifford channels quant-ph Stabilizer circuits arise in almost every area of quantum computation and communication, so there is interest in studying them from an information-theoretic perspective, i.e. as quantum channels. We consider several natural approaches to what can be called...
arxiv topic:quant-ph
arxiv_dataset-194922311.06233
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models cs.CL cs.AI cs.LG We propose the Data Contamination Quiz (DCQ), a simple and effective approach to detect data contamination in large language models (LLMs) and estimate the amount of it. Specifically, we frame data cont...
arxiv topic:cs.CL cs.AI cs.LG
arxiv_dataset-194932311.06333
The heart of galaxy clusters: demographics and physical properties of cool-core and non-cool-core halos in the TNG-Cluster simulation astro-ph.GA astro-ph.CO We analyze the physical properties of the gaseous intracluster medium (ICM) at the center of massive galaxy clusters with TNG-Cluster, a new cosmological ma...
arxiv topic:astro-ph.GA astro-ph.CO
arxiv_dataset-194942311.06433
Regret-Optimal Control under Partial Observability eess.SY cs.SY math.OC This paper studies online solutions for regret-optimal control in partially observable systems over an infinite-horizon. Regret-optimal control aims to minimize the difference in LQR cost between causal and non-causal controllers while conside...
arxiv topic:eess.SY cs.SY math.OC
arxiv_dataset-194952311.06533
MASKE: A kinetic simulator of coupled chemical and mechanical processes driving microstructural evolution cond-mat.other The microstructure of materials evolves through chemical reactions and mechanical stress, often strongly coupled in phenomena such as pressure solution or crystallization pressure. This article...
arxiv topic:cond-mat.other
arxiv_dataset-194962311.06633
The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods in psychiatry detection applications, specifically depression disorder: A Brief Review cs.LG cs.AI The COVID-19 pandemic has forced many people to limit their social activities, which has resulted in a rise in mental illnesse...
arxiv topic:cs.LG cs.AI
arxiv_dataset-194972311.06733
Ground-state phase diagram of two-component interacting bosons on a two-leg ladder cond-mat.quant-gas Using the cluster Gutzwiller mean-field method, we numerically study the ground-state phase diagram of the non-hard-core two-component interacting bosons trapped in a two-leg ladder with and without an artificial...
arxiv topic:cond-mat.quant-gas
arxiv_dataset-194982311.06833
The spectral radius of minor free graphs math.CO In this paper, we present a sharp upper bound for the spectral radius of an $n$-vertex graph without $F$-minor for sufficient large $n$, where $F$ is obtained from the complete graph $K_r$ by deleting disjointed paths. Furthermore, the graphs which achieved the sharp...
arxiv topic:math.CO
arxiv_dataset-194992311.06933
Warm Affine Inflation astro-ph.CO The warm inflationary scenario is investigated in the context of affine gravity formalism. A general framework is provided for studying different single-field potentials. Using the sphaleron mechanism we explain the continuous dissipation of the inflaton field into radiation, leadi...
arxiv topic:astro-ph.CO