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arxiv_dataset-184002305.06944 | Quantum reaction-limited reaction-diffusion dynamics of annihilation
processes
cond-mat.stat-mech cond-mat.soft quant-ph
We investigate the quantum reaction-diffusion dynamics of fermionic particles
which coherently hop in a one-dimensional lattice and undergo annihilation
reactions. The latter are modelled as di... | arxiv topic:cond-mat.stat-mech cond-mat.soft quant-ph |
arxiv_dataset-184012305.07044 | Linking UV spectral properties of MUSE Ly-alpha emitters at z>3 to Lyman
continuum escape
astro-ph.GA
The physical conditions giving rise to high escape fractions of ionizing
radiation (LyC $f_{\rm{esc}}$) in star-forming galaxies - most likely
protagonists of cosmic reionization - are not yet fully understood. U... | arxiv topic:astro-ph.GA |
arxiv_dataset-184022305.07144 | Survey on Integrated Sensing and Communication Performance Modeling and
Use Cases Feasibility
eess.SP
As the research community starts to address the* key features of 6G cellular
standards, one of the agreed bridge topics to be studied already in 5G advanced
releases is Integrated Sensing and Communication (ISAC)... | arxiv topic:eess.SP |
arxiv_dataset-184032305.07244 | Digital Twin as a Service (DTaaS): A Platform for Digital Twin
Developers and Users
cs.SE
Establishing digital twins is a non-trivial endeavour especially when users
face significant challenges in creating them from scratch. Ready availability
of reusable models, data and tool assets, can help with creation and u... | arxiv topic:cs.SE |
arxiv_dataset-184042305.07344 | A Bayesian Approach to Characterize Unknown Interference Power in
Wireless Networks
eess.SP cs.IT math.IT
The existence of unknown interference is a prevalent problem in wireless
communication networks. Especially in multi-user multiple-input multiple-output
(MIMO) networks, where a large number of user equipment... | arxiv topic:eess.SP cs.IT math.IT |
arxiv_dataset-184052305.07444 | Black hole shadow and acceleration bounds for spherically symmetric
spacetimes
gr-qc hep-th
We explore an interesting connection between black hole shadow parameters and
the acceleration bounds for radial linear uniformly accelerated (LUA)
trajectories in static spherically symmetric black hole spacetime geometri... | arxiv topic:gr-qc hep-th |
arxiv_dataset-184062305.07544 | The extremely X-ray luminous radio-loud quasar CFHQS J142952+544717 at
$z=6.18$ under Chandra high-angular resolution lens
astro-ph.HE
We present the first X-ray observation at sub-arcsecond resolution of the
high-redshift ($z=6.18$) radio-loud quasar CFHQS J142952+544717 (J1429). The
~100 net-count 0.3-7 keV spe... | arxiv topic:astro-ph.HE |
arxiv_dataset-184072305.07644 | Beware of diffusion models for synthesizing medical images -- A
comparison with GANs in terms of memorizing brain MRI and chest x-ray images
eess.IV cs.CV cs.LG
Diffusion models were initially developed for text-to-image generation and
are now being utilized to generate high quality synthetic images. Preceded by
... | arxiv topic:eess.IV cs.CV cs.LG |
arxiv_dataset-184082305.07744 | Research Focused Software Development Kits and Wearable Devices in
Physical Activity Research
q-bio.QM cs.HC
Introduction: The Canadian Guidelines recommend physical activity for overall
health benefits, including cognitive, emotional, functional, and physical
health. However, traditional research methods are ine... | arxiv topic:q-bio.QM cs.HC |
arxiv_dataset-184092305.07844 | Thompson Sampling for Parameterized Markov Decision Processes with
Uninformative Actions
eess.SY cs.LG cs.SY
We study parameterized MDPs (PMDPs) in which the key parameters of interest
are unknown and must be learned using Bayesian inference. One key defining
feature of such models is the presence of "uninformati... | arxiv topic:eess.SY cs.LG cs.SY |
arxiv_dataset-184102305.07944 | Origins of Face-to-face Interaction with Kin in US Cities
cs.SI physics.soc-ph
People interact face-to-face on a frequent basis if (i) they live nearby and
(ii) make the choice to meet. The first constitutes an availability of social
ties; the second a propensity to interact with those ties. Despite being
distinct ... | arxiv topic:cs.SI physics.soc-ph |
arxiv_dataset-184112305.08044 | Using EEG Signals to Assess Workload during Memory Retrieval in a
Real-world Scenario
cs.HC cs.LG
Objective: The Electroencephalogram (EEG) is gaining popularity as a
physiological measure for neuroergonomics in human factor studies because it is
objective, less prone to bias, and capable of assessing the dynamic... | arxiv topic:cs.HC cs.LG |
arxiv_dataset-184122305.08144 | Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI
Interaction
cs.AI
The Graphical User Interface (GUI) is pivotal for human interaction with the
digital world, enabling efficient device control and the completion of complex
tasks. Recent progress in Large Language Models (LLMs) and Vision Language
... | arxiv topic:cs.AI |
arxiv_dataset-184132305.08244 | Analysis of Prospective Flight Schemes to Venus Accompanied by an
Asteroid Flyby
astro-ph.EP astro-ph.IM cs.NA math.NA physics.space-ph
This paper deals with the problem of constructing a flight scheme to Venus,
in which a spacecraft flying to the planet after a gravity assist maneuver and
transition to a resonan... | arxiv topic:astro-ph.EP astro-ph.IM cs.NA math.NA physics.space-ph |
arxiv_dataset-184142305.08344 | Enhancing Label Sharing Efficiency in Complementary-Label Learning with
Label Augmentation
cs.LG
Complementary-label Learning (CLL) is a form of weakly supervised learning
that trains an ordinary classifier using only complementary labels, which are
the classes that certain instances do not belong to. While exist... | arxiv topic:cs.LG |
arxiv_dataset-184152305.08444 | Quantum interference induced magnon blockade and antibunching in a
hybrid quantum system
quant-ph cond-mat.mes-hall
In this work, we study the phenomena of quantum interference assisted magnon
blockade and magnon antibunching in a weakly interacting hybrid
ferromagnet-superconductor system. The magnon excitations... | arxiv topic:quant-ph cond-mat.mes-hall |
arxiv_dataset-184162305.08544 | Quantum Neural Network for Quantum Neural Computing
quant-ph cs.AI
Neural networks have achieved impressive breakthroughs in both industry and
academia. How to effectively develop neural networks on quantum computing
devices is a challenging open problem. Here, we propose a new quantum neural
network model for quan... | arxiv topic:quant-ph cs.AI |
arxiv_dataset-184172305.08644 | Singularities of Feynman Integrals
hep-th math-ph math.MP
In this paper, we study the singularities of Feynman integrals using
homological techniques. We analyse the Feynman integrals by compactifying the
integration domain as well as the ambient space by embedding them in
higher-dimensional space. In this compacti... | arxiv topic:hep-th math-ph math.MP |
arxiv_dataset-184182305.08744 | Integrating Uncertainty into Neural Network-based Speech Enhancement
eess.AS cs.LG cs.SD
Supervised masking approaches in the time-frequency domain aim to employ deep
neural networks to estimate a multiplicative mask to extract clean speech. This
leads to a single estimate for each input without any guarantees or m... | arxiv topic:eess.AS cs.LG cs.SD |
arxiv_dataset-184192305.08844 | RL4F: Generating Natural Language Feedback with Reinforcement Learning
for Repairing Model Outputs
cs.CL
Despite their unprecedented success, even the largest language models make
mistakes. Similar to how humans learn and improve using feedback, previous work
proposed providing language models with natural langua... | arxiv topic:cs.CL |
arxiv_dataset-184202305.08944 | Anchored $\mathfrak{gl}_N$ foams and annular Khovanov-Rozansky homology
math.GT math.QA
We introduce equivariant $\mathfrak{gl}_N$ homology for links in the
thickened annulus via foam evaluation.
| arxiv topic:math.GT math.QA |
arxiv_dataset-184212305.09044 | Scalable and Robust Tensor Ring Decomposition for Large-scale Data
cs.LG stat.ML
Tensor ring (TR) decomposition has recently received increased attention due
to its superior expressive performance for high-order tensors. However, the
applicability of traditional TR decomposition algorithms to real-world
application... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-184222305.09144 | Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism
of Language Models
cs.CL cs.AI
Memory is one of the most essential cognitive functions serving as a
repository of world knowledge and episodes of activities. In recent years,
large-scale pre-trained language models have shown remarkable memori... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-184232305.09244 | Which architecture should be implemented to manage data from the real
world, in an Unreal Engine 5 simulator and in the context of mixed reality?
cs.SE
Due to its ability to generate millions of particles, massively detailed
scenes and confusing artificial illumination with reality, the version 5 of
Unreal Engine... | arxiv topic:cs.SE |
arxiv_dataset-184242305.09344 | Dynamical modelling of ATLAS$^{\rm 3D}$ galaxies
astro-ph.GA
Triaxial dynamical models of massive galaxies observed in the ATLAS3D project
can provide new insights into the complex evolutionary processes that shape
galaxies. The ATLAS3D survey is ideal as the sample comprises a good mix of
fast and slow rotators wi... | arxiv topic:astro-ph.GA |
arxiv_dataset-184252305.09444 | Absence of inhomogeneous chiral phases in 2+1-dimensional four-fermion
and Yukawa models
hep-ph cond-mat.str-el nucl-th
We show the absence of an instability of homogeneous (chiral) condensates
against spatially inhomogeneous perturbations for various 2+1-dimensional
four-fermion and Yukawa models. All models are... | arxiv topic:hep-ph cond-mat.str-el nucl-th |
arxiv_dataset-184262305.09544 | Slowly rotating ultracompact Schwarzschild star in the gravastar limit
gr-qc
We reconsider the problem of a slowly rotating homogeneous star, or
Schwarzschild star, when its compactness goes beyond the Buchdahl bound and
approaches the gravastar limit $R\to 2M$. We compute surface and integral
properties of such co... | arxiv topic:gr-qc |
arxiv_dataset-184272305.09644 | RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and
Planning
cs.RO
We introduce RAMP, an open-source robotics benchmark inspired by real-world
industrial assembly tasks. RAMP consists of beams that a robot must assemble
into specified goal configurations using pegs as fasteners. As such, it
assesse... | arxiv topic:cs.RO |
arxiv_dataset-184282305.09744 | Assessment of few-hits machine learning classification algorithms for
low energy physics in liquid argon detectors
physics.ins-det cs.LG physics.data-an
The physics potential of massive liquid argon TPCs in the low-energy regime
is still to be fully reaped because few-hits events encode information that can
hardl... | arxiv topic:physics.ins-det cs.LG physics.data-an |
arxiv_dataset-184292305.09844 | Staticity of Asymptotically Hyperbolic Minimal Mass Extensions
math.DG
In this paper, we give a definition for the Bartnik mass of a domain whose
extensions are asymptotically hyperbolic manifolds. With this definition, we
show that asymptotically hyperbolic admissible extensions of a domain that
achieve the Bartni... | arxiv topic:math.DG |
arxiv_dataset-184302305.09944 | Cells Solved the Gibbs Paradox by Learning to Contain Entropic Forces
q-bio.BM
As Nature's version of machine learning, evolution has solved many
extraordinarily complex problems, none perhaps more remarkable than learning to
harness an increase in chemical entropy (disorder) to generate directed
chemical forces (o... | arxiv topic:q-bio.BM |
arxiv_dataset-184312305.10044 | Two-Stream Regression Network for Dental Implant Position Prediction
cs.CV
In implant prosthesis treatment, the design of the surgical guide heavily
relies on the manual location of the implant position, which is subjective and
prone to doctor's experiences. When deep learning based methods has started to
be applie... | arxiv topic:cs.CV |
arxiv_dataset-184322305.10144 | White dwarf cooling in $f(R,T)$ gravity
gr-qc astro-ph.HE hep-th
In recent times, astounding observations of both over- and under-luminous
type Ia supernovae have emerged. These peculiar observations hint not only at
surpassing the Chandrasekhar limit but may also suggest potential modifications
in the physical att... | arxiv topic:gr-qc astro-ph.HE hep-th |
arxiv_dataset-184332305.10244 | Some characterizations of dualizing complexes in terms of
$G_{C}$-dimension
math.AC
Let $(R,\fm)$ be a local ring and $C$ be a homologically bounded and finitely
generated $R$-complex. Then, we prove that $C$ is a dualizing complex of $R$ if
and only if $C$ is a Cohen-Macaulay semidualizing complex of type one or... | arxiv topic:math.AC |
arxiv_dataset-184342305.10344 | Confidence-Guided Semi-supervised Learning in Land Cover Classification
cs.CV
Semi-supervised learning has been well developed to help reduce the cost of
manual labelling by exploiting a large quantity of unlabelled data. Especially
in the application of land cover classification, pixel-level manual labelling
in la... | arxiv topic:cs.CV |
arxiv_dataset-184352305.10444 | Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for
Drone-Based Surveillance System
cs.RO cs.AI
Given the importance of forests and their role in maintaining the ecological
balance, which directly affects the planet, the climate, and the life on this
planet, this research presents the problem... | arxiv topic:cs.RO cs.AI |
arxiv_dataset-184362305.10544 | Tractable Probabilistic Graph Representation Learning with Graph-Induced
Sum-Product Networks
cs.LG cs.AI
We introduce Graph-Induced Sum-Product Networks (GSPNs), a new probabilistic
framework for graph representation learning that can tractably answer
probabilistic queries. Inspired by the computational trees in... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-184372305.10644 | BEEMA: Braille Adapted Enhanced PIN Entry Mechanism using Arrow keys
cs.HC cs.CY
Persons with visual impairments have often been a soft target for
cybercriminals, and they are more susceptible to cyber attacks in the digital
environment. The attacks, as mentioned above, are because they are
visually/aurally exposed... | arxiv topic:cs.HC cs.CY |
arxiv_dataset-184382305.10744 | Online Resource Allocation in Episodic Markov Decision Processes
cs.DS cs.LG math.OC
This paper studies a long-term resource allocation problem over multiple
periods where each period requires a multi-stage decision-making process. We
formulate the problem as an online allocation problem in an episodic
finite-horiz... | arxiv topic:cs.DS cs.LG math.OC |
arxiv_dataset-184392305.10844 | Dissipative light bullets in a doped and weakly nonlocal optical fiber
physics.optics nlin.PS
The letter introduces an extended (3+1)-dimensional [(3+1)D] nonlocal cubic
complex Ginzburg-Landau equation describing the dynamics of dissipative light
bullets in optical fiber amplifiers under the interplay between dopa... | arxiv topic:physics.optics nlin.PS |
arxiv_dataset-184402305.10944 | A Multi-Wavelength Investigation of Dust and Stellar Mass Distributions
in Galaxies: Insights from High-Resolution JWST Imaging
astro-ph.GA
We study the morphological properties of mid-infrared selected galaxies at
$1.0<z<1.7$ in the SMACS J0723.3-7327 cluster field, to investigate the
mechanisms of galaxy mass a... | arxiv topic:astro-ph.GA |
arxiv_dataset-184412305.11044 | Improving Recommendation System Serendipity Through Lexicase Selection
cs.IR cs.NE
Recommender systems influence almost every aspect of our digital lives.
Unfortunately, in striving to give us what we want, they end up restricting our
open-mindedness. Current recommender systems promote echo chambers, where
people ... | arxiv topic:cs.IR cs.NE |
arxiv_dataset-184422305.11144 | Prophet Secretary Against the Online Optimal
cs.GT
We study the prophet secretary problem, a well-studied variant of the classic
prophet inequality, where values are drawn from independent known distributions
but arrive in uniformly random order. Upon seeing a value at each step, the
decision-maker has to either se... | arxiv topic:cs.GT |
arxiv_dataset-184432305.11244 | A Parameter-Efficient Learning Approach to Arabic Dialect Identification
with Pre-Trained General-Purpose Speech Model
cs.CL cs.AI cs.LG cs.NE eess.AS
In this work, we explore Parameter-Efficient-Learning (PEL) techniques to
repurpose a General-Purpose-Speech (GSM) model for Arabic dialect
identification (ADI). S... | arxiv topic:cs.CL cs.AI cs.LG cs.NE eess.AS |
arxiv_dataset-184442305.11344 | Determinism of Multirelations
cs.LO
Binary multirelations can model alternating nondeterminism, for instance, in
games or nondeterministically evolving systems interacting with an environment.
Such systems can show partial or total functional behaviour at both levels of
alternation, so that nondeterministic behavio... | arxiv topic:cs.LO |
arxiv_dataset-184452305.11444 | Arukikata Travelogue Dataset
cs.CL cs.AI cs.DL
We have constructed Arukikata Travelogue Dataset and released it free of
charge for academic research. This dataset is a Japanese text dataset with a
total of over 31 million words, comprising 4,672 Japanese domestic travelogues
and 9,607 overseas travelogues. Before p... | arxiv topic:cs.CL cs.AI cs.DL |
arxiv_dataset-184462305.11544 | Controlling the excitation spectrum of a quantum dot array with a photon
cavity
cond-mat.mes-hall
We use a recently proposed quantum electrodynamical density functional theory
(QEDFT) functional in a real-time excitation calculation for a two-dimensional
electron gas in a square array of quantum dots in an extern... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-184472305.11644 | Deterministic Fault-Tolerant Distributed Computing in Linear Time and
Communication
cs.DS cs.DC
We develop deterministic algorithms for the problems of consensus, gossiping
and checkpointing with nodes prone to failing. Distributed systems are modeled
as synchronous complete networks. Failures are represented eit... | arxiv topic:cs.DS cs.DC |
arxiv_dataset-184482305.11744 | ReFIT: Relevance Feedback from a Reranker during Inference
cs.IR cs.CL
Retrieve-and-rerank is a prevalent framework in neural information retrieval,
wherein a bi-encoder network initially retrieves a pre-defined number of
candidates (e.g., K=100), which are then reranked by a more powerful
cross-encoder model. Whil... | arxiv topic:cs.IR cs.CL |
arxiv_dataset-184492305.11844 | AI's Regimes of Representation: A Community-centered Study of
Text-to-Image Models in South Asia
cs.CY cs.AI cs.HC cs.LG
This paper presents a community-centered study of cultural limitations of
text-to-image (T2I) models in the South Asian context. We theorize these
failures using scholarship on dominant media r... | arxiv topic:cs.CY cs.AI cs.HC cs.LG |
arxiv_dataset-184502305.11944 | Exploring the Viability of Synthetic Query Generation for Relevance
Prediction
cs.IR cs.CL
Query-document relevance prediction is a critical problem in Information
Retrieval systems. This problem has increasingly been tackled using
(pretrained) transformer-based models which are finetuned using large
collections ... | arxiv topic:cs.IR cs.CL |
arxiv_dataset-184512305.12044 | Leveraging Predictions in Power System Frequency Control: an Adaptive
Approach
eess.SY cs.SY
Ensuring the frequency stability of electric grids with increasing renewable
resources is a key problem in power system operations. In recent years, a
number of advanced controllers have been designed to optimize frequenc... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-184522305.12144 | DiffCap: Exploring Continuous Diffusion on Image Captioning
cs.CV cs.AI
Current image captioning works usually focus on generating descriptions in an
autoregressive manner. However, there are limited works that focus on
generating descriptions non-autoregressively, which brings more decoding
diversity. Inspired by ... | arxiv topic:cs.CV cs.AI |
arxiv_dataset-184532305.12244 | Formation and Optimisation of Vein Networks in Physarum
physics.flu-dyn
Physarum polycephalum is an acellular slime mould that grows as a highly
adaptive network of veins filled with protoplasm. As it forages, Physarum
dynamically rearranges its network structure as a response to local stimuli
information, optimisi... | arxiv topic:physics.flu-dyn |
arxiv_dataset-184542305.12344 | YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned
Aerial Vehicles
cs.CV
Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much
attention in the research field of computer vision. However, not easy to
accurately detect objects with data obtained from UAVs, which capture image... | arxiv topic:cs.CV |
arxiv_dataset-184552305.12444 | On the Impossibility of General Parallel Fast-forwarding of Hamiltonian
Simulation
quant-ph cs.CC
Hamiltonian simulation is one of the most important problems in the field of
quantum computing. There have been extended efforts on designing algorithms for
faster simulation, and the evolution time $T$ for the simul... | arxiv topic:quant-ph cs.CC |
arxiv_dataset-184562305.12544 | Has It All Been Solved? Open NLP Research Questions Not Solved by Large
Language Models
cs.CL cs.AI
Recent progress in large language models (LLMs) has enabled the deployment of
many generative NLP applications. At the same time, it has also led to a
misleading public discourse that ``it's all been solved.'' Not ... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-184572305.12644 | PO-VINS: An Efficient and Robust Pose-Only Visual-Inertial State
Estimator With LiDAR Enhancement
cs.RO
The pose adjustment (PA) with a pose-only visual representation has been
proven equivalent to the bundle adjustment (BA), while significantly improving
the computational efficiency. However, the pose-only solut... | arxiv topic:cs.RO |
arxiv_dataset-184582305.12744 | Fact-Checking Complex Claims with Program-Guided Reasoning
cs.CL cs.AI
Fact-checking real-world claims often requires collecting multiple pieces of
evidence and applying complex multi-step reasoning. In this paper, we present
Program-Guided Fact-Checking (ProgramFC), a novel fact-checking model that
decomposes comp... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-184592305.12844 | An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
eess.IV cs.CV cs.LG
Brain tumors present a grave risk to human life, demanding precise and timely
diagnosis for effective treatment. Inaccurate identification of brain tumors
can significantly diminish life expectancy, underscoring the critica... | arxiv topic:eess.IV cs.CV cs.LG |
arxiv_dataset-184602305.12944 | Offline Primal-Dual Reinforcement Learning for Linear MDPs
cs.LG
Offline Reinforcement Learning (RL) aims to learn a near-optimal policy from
a fixed dataset of transitions collected by another policy. This problem has
attracted a lot of attention recently, but most existing methods with strong
theoretical guarante... | arxiv topic:cs.LG |
arxiv_dataset-184612305.13044 | Quotients of torus endomorphisms have parabolic orbifolds
math.GT math.AT math.DS
In this work we show that every quotient of a torus endomorphism has a
parabolic orbifold. This answers a question of Mario Bonk and Daniel Meyer
posed in their book "Expanding Thurston maps".
| arxiv topic:math.GT math.AT math.DS |
arxiv_dataset-184622305.13144 | Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM
Inference Pipeline
cs.CL
Large language models (LLMs) have revolutionized the field of AI,
demonstrating unprecedented capacity across various tasks. However, the
inference process for LLMs comes with significant computational costs. In this... | arxiv topic:cs.CL |
arxiv_dataset-184632305.13244 | Pseudospin-orbit coupling and non-Hermitian effects in the Quantum
Geometric Tensor of a plasmonic lattice
physics.optics cond-mat.mes-hall
We theoretically predict the full quantum geometric tensor, comprising the
quantum metric and the Berry curvature, for a square lattice of plasmonic
nanoparticles. The gold n... | arxiv topic:physics.optics cond-mat.mes-hall |
arxiv_dataset-184642305.13344 | Review of the some specific features of the detecting of heavy recoils
physics.data-an nucl-ex physics.ins-det
In this paper, we present the results of the first beam tests of the
detection system at the focal plane of the Dubna Gas-Filled Recoil Separator-2
(DGFRS-2), which receives beams from the DC-280 FLNR cycl... | arxiv topic:physics.data-an nucl-ex physics.ins-det |
arxiv_dataset-184652305.13444 | Ordinal Outcome State-Space Models for Intensive Longitudinal Data
stat.ME
Intensive longitudinal (IL) data are increasingly prevalent in psychological
science, coinciding with technological advancements that make it simple to
deploy study designs such as daily diary and ecological momentary assessments.
IL data ar... | arxiv topic:stat.ME |
arxiv_dataset-184662305.13544 | Algorithmic Security is Insufficient: A Comprehensive Survey on
Implementation Attacks Haunting Post-Quantum Security
cs.CR
This survey is on forward-looking, emerging security concerns in post-quantum
era, i.e., the implementation attacks for 2022 winners of NIST post-quantum
cryptography (PQC) competition and t... | arxiv topic:cs.CR |
arxiv_dataset-184672305.13644 | Physics-Assisted Reduced-Order Modeling for Identifying Dominant
Features of Transonic Buffet
physics.flu-dyn cs.LG
Transonic buffet is a flow instability phenomenon that arises from the
interaction between the shock wave and the separated boundary layer. This flow
phenomenon is considered to be highly detrimenta... | arxiv topic:physics.flu-dyn cs.LG |
arxiv_dataset-184682305.13744 | Electromagnetic response of the surface states of a topological
insulator nanowire embedded within a resonator
cond-mat.mes-hall
Exploring the interplay between topological phases and photons opens new
avenues for investigating novel quantum states. Here we show that
superconducting resonators can serve as sensit... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-184692305.13844 | Arukikata Travelogue Dataset with Geographic Entity Mention,
Coreference, and Link Annotation
cs.CL
Geoparsing is a fundamental technique for analyzing geo-entity information in
text. We focus on document-level geoparsing, which considers geographic
relatedness among geo-entity mentions, and presents a Japanese t... | arxiv topic:cs.CL |
arxiv_dataset-184702305.13944 | Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic
Frame Induction
cs.CL
The semantic frame induction tasks are defined as a clustering of words into
the frames that they evoke, and a clustering of their arguments according to
the frame element roles that they should fill. In this paper, we ... | arxiv topic:cs.CL |
arxiv_dataset-184712305.14044 | Process-To-Text: A Framework for the Quantitative Description of
Processes in Natural Language
cs.CL
In this paper we present the Process-To-Text (P2T) framework for the
automatic generation of textual descriptive explanations of processes. P2T
integrates three AI paradigms: process mining for extracting temporal... | arxiv topic:cs.CL |
arxiv_dataset-184722305.14144 | QED corrections to parton distributions and Altarelli-Parisi splitting
functions in the polarized case
hep-ph
We discuss the effect of QED corrections in the evolution of polarized parton
distributions. We solve the corresponding evolution equations exactly to ${\cal
O}(\alpha )$ and ${\cal O}(\alpha_s^2)$ in Mel... | arxiv topic:hep-ph |
arxiv_dataset-184732305.14244 | Federated Prompt Learning for Weather Foundation Models on Devices
cs.LG
On-device intelligence for weather forecasting uses local deep learning
models to analyze weather patterns without centralized cloud computing, holds
significance for supporting human activates. Federated Learning is a promising
solution for s... | arxiv topic:cs.LG |
arxiv_dataset-184742305.14344 | Siamese Masked Autoencoders
cs.CV cs.LG
Establishing correspondence between images or scenes is a significant
challenge in computer vision, especially given occlusions, viewpoint changes,
and varying object appearances. In this paper, we present Siamese Masked
Autoencoders (SiamMAE), a simple extension of Masked Au... | arxiv topic:cs.CV cs.LG |
arxiv_dataset-184752305.14444 | Non-linearities in the tidal Love numbers of black holes
gr-qc hep-th
Tidal Love numbers describe the linear response of a compact object under the
presence of external tidal perturbations, and they are found to vanish exactly
for black holes within General Relativity. In this paper we investigate the
tidal deforma... | arxiv topic:gr-qc hep-th |
arxiv_dataset-184762305.14544 | Hausdorff dimension of unions of $k$-planes
math.CA
We prove a conjecture of H\'era on the dimension of unions of $k$-planes. Let
$0<k \le d<n$ be integers, and $\beta\in[0,k+1)$. If $\mathcal{V}\subset
A(k,n)$, with $\text{dim}(\mathcal{V})=(k+1)(d-k)+\beta$, then
$\text{dim}(\bigcup_{V\in\mathcal{V}}V)\ge d+\min\... | arxiv topic:math.CA |
arxiv_dataset-184772305.14644 | KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning
World Models in Autonomous Driving Tasks
cs.LG cs.RO
Autonomous driving has received a great deal of attention in the automotive
industry and is often seen as the future of transportation. The development of
autonomous driving technology has be... | arxiv topic:cs.LG cs.RO |
arxiv_dataset-184782305.14744 | Block Coordinate Descent on Smooth Manifolds: Convergence Theory and
Twenty-One Examples
math.OC
Block coordinate descent is an optimization paradigm that iteratively updates
one block of variables at a time, making it quite amenable to big data
applications due to its scalability and performance. Its convergence... | arxiv topic:math.OC |
arxiv_dataset-184792305.14844 | A unified approach to goodness-of-fit testing for spherical and
hyperspherical data
math.ST stat.TH
We propose a general and relatively simple method for the construction of
goodness-of-fit tests on the sphere and the hypersphere. The method is based on
the characterization of probability distributions via their ... | arxiv topic:math.ST stat.TH |
arxiv_dataset-184802305.14944 | A note on the computational complexity of the moment-SOS hierarchy for
polynomial optimization
math.OC cs.CC
The moment-sum-of-squares (moment-SOS) hierarchy is one of the most
celebrated and widely applied methods for approximating the minimum of an
n-variate polynomial over a feasible region defined by polynomi... | arxiv topic:math.OC cs.CC |
arxiv_dataset-184812305.15044 | Is Summary Useful or Not? An Extrinsic Human Evaluation of Text
Summaries on Downstream Tasks
cs.CL
Research on automated text summarization relies heavily on human and
automatic evaluation. While recent work on human evaluation mainly adopted
intrinsic evaluation methods, judging the generic quality of text summ... | arxiv topic:cs.CL |
arxiv_dataset-184822305.15144 | Effective model analysis of intrinsic spin Hall effect with magnetism in
stacked-kagome Weyl semimetal Co3Sn2S2
cond-mat.mes-hall
We theoretically study the spin Hall effect in a simple tight-binding model
of stacked-kagome Weyl semimetal Co3Sn2S2 with ferromagnetic ordering. We focus
on the two types of the spin... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-184832305.15244 | Neural Lyapunov and Optimal Control
cs.RO
Despite impressive results, reinforcement learning (RL) suffers from slow
convergence and requires a large variety of tuning strategies. In this paper,
we investigate the ability of RL algorithms on simple continuous control tasks.
We show that without reward and environmen... | arxiv topic:cs.RO |
arxiv_dataset-184842305.15344 | Learning Answer Generation using Supervision from Automatic Question
Answering Evaluators
cs.CL cs.LG
Recent studies show that sentence-level extractive QA, i.e., based on Answer
Sentence Selection (AS2), is outperformed by Generation-based QA (GenQA)
models, which generate answers using the top-k answer sentence... | arxiv topic:cs.CL cs.LG |
arxiv_dataset-184852305.15444 | PromptNER: Prompting For Named Entity Recognition
cs.CL cs.AI cs.LG
In a surprising turn, Large Language Models (LLMs) together with a growing
arsenal of prompt-based heuristics now offer powerful off-the-shelf approaches
providing few-shot solutions to myriad classic NLP problems. However, despite
promising early ... | arxiv topic:cs.CL cs.AI cs.LG |
arxiv_dataset-184862305.15544 | Fast Adversarial CNN-based Perturbation Attack on No-Reference Image-
and Video-Quality Metrics
cs.CV cs.MM eess.IV
Modern neural-network-based no-reference image- and video-quality metrics
exhibit performance as high as full-reference metrics. These metrics are widely
used to improve visual quality in computer v... | arxiv topic:cs.CV cs.MM eess.IV |
arxiv_dataset-184872305.15644 | Meta Adaptive Task Sampling for Few-Domain Generalization
cs.LG cs.AI cs.CV
To ensure the out-of-distribution (OOD) generalization performance,
traditional domain generalization (DG) methods resort to training on data from
multiple sources with different underlying distributions. And the success of
those DG methods... | arxiv topic:cs.LG cs.AI cs.CV |
arxiv_dataset-184882305.15744 | Moving holographic boundaries
hep-th gr-qc
In this paper, we show that for one sign of the deformation coupling
single-trace $T{\bar T}$ deformation moves the holographic screen in G\"{o}del
universe radially inward. For the other sign of the coupling it moves the
holographic screen radially outward. We (thus) argu... | arxiv topic:hep-th gr-qc |
arxiv_dataset-184892305.15844 | Quantum version of transport coefficients in Nambu--Jona-Lasinio model
at finite temperature and strong magnetic field
hep-ph
We have estimated parallel and perpendicular components of electrical
conductivity and shear viscosity of quark matter at finite magnetic field and
temperature by using their one-loop Kubo... | arxiv topic:hep-ph |
arxiv_dataset-184902305.15944 | How to Turn Your Knowledge Graph Embeddings into Generative Models
cs.LG cs.AI
Some of the most successful knowledge graph embedding (KGE) models for link
prediction -- CP, RESCAL, TuckER, ComplEx -- can be interpreted as energy-based
models. Under this perspective they are not amenable for exact
maximum-likelihood... | arxiv topic:cs.LG cs.AI |
arxiv_dataset-184912305.16044 | Exploiting Noise as a Resource for Computation and Learning in Spiking
Neural Networks
cs.NE cs.AI cs.LG
$\textbf{Formal version available at}$
https://cell.com/patterns/fulltext/S2666-3899(23)00200-3
Networks of spiking neurons underpin the extraordinary information-processing
capabilities of the brain and hav... | arxiv topic:cs.NE cs.AI cs.LG |
arxiv_dataset-184922305.16144 | On the Spectral Changes of OJ 287: The Lowest X-ray state Spectrum --
extended at Optical-UV and Hard at X-rays
astro-ph.HE astro-ph.GA
Optical-UV synchrotron spectrum has been argued to be the primary driver of
the majority of X-ray spectral changes in the BL Lacertae object OJ 287 during
its low and intermediat... | arxiv topic:astro-ph.HE astro-ph.GA |
arxiv_dataset-184932305.16244 | Tuning photon-mediated interactions in a multimode cavity: from
supersolid to insulating droplets hosting phononic excitations
cond-mat.quant-gas quant-ph
Ultracold atoms trapped in laser-generated optical lattices serve as a
versatile platform for quantum simulations. However, as these lattices are
infinitely st... | arxiv topic:cond-mat.quant-gas quant-ph |
arxiv_dataset-184942305.16344 | Enabling and Analyzing How to Efficiently Extract Information from
Hybrid Long Documents with LLMs
cs.CL cs.AI
Large Language Models (LLMs) demonstrate exceptional performance in textual
understanding and tabular reasoning tasks. However, their ability to comprehend
and analyze hybrid text, containing textual and... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-184952305.16444 | Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by
Rewriting Text
cs.CL
Can language models transform inputs to protect text classifiers against
adversarial attacks? In this work, we present ATINTER, a model that intercepts
and learns to rewrite adversarial inputs to make them non-adversarial fo... | arxiv topic:cs.CL |
arxiv_dataset-184962305.16544 | Inductive detection of Influence Operations via Graph Learning
cs.LG cs.CR cs.SI physics.soc-ph
Influence operations are large-scale efforts to manipulate public opinion.
The rapid detection and disruption of these operations is critical for healthy
public discourse. Emergent AI technologies may enable novel operat... | arxiv topic:cs.LG cs.CR cs.SI physics.soc-ph |
arxiv_dataset-184972305.16644 | Quantum Speedup for the Maximum Cut Problem
quant-ph
Given an undirected, unweighted graph with $n$ vertices and $m$ edges, the
maximum cut problem is to find a partition of the $n$ vertices into disjoint
subsets $V_1$ and $V_2$ such that the number of edges between them is as large
as possible. Classically, it is ... | arxiv topic:quant-ph |
arxiv_dataset-184982305.16744 | Demo2Code: From Summarizing Demonstrations to Synthesizing Code via
Extended Chain-of-Thought
cs.RO
Language instructions and demonstrations are two natural ways for users to
teach robots personalized tasks. Recent progress in Large Language Models
(LLMs) has shown impressive performance in translating language i... | arxiv topic:cs.RO |
arxiv_dataset-184992305.16844 | Phase-field modelling of failure in ceramics with multiscale porosity
cond-mat.mtrl-sci physics.app-ph
Many stiff biological materials exhibiting outstanding compressive
strength/weight ratio are characterized by high porosity, spanning different
size-scales, typical examples being bone and wood. A successful bio-m... | arxiv topic:cond-mat.mtrl-sci physics.app-ph |
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