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in this paper we combine adaptation and control barrier functions into a real-time control architecture that guarantees stability ensures
control
linear control
in this paper we combine adaptation and control barrier functions into a real-time control architecture that guarantees stability ensures control performance and remains safe even with the parametric uncertainties
with the rapid growth of artificial intelligence ai and cloud services data centers have become critical infrastructures driving digital economies with increasing energy demand heightening concerns over electricity use and
carbon
carbon emissions
with the rapid growth of artificial intelligence ai and cloud services data centers have become critical infrastructures driving digital economies with increasing energy demand heightening concerns over electricity use and carbon emissions emphasizing the need for carbon-aware infrastructure planning
human feedback can alter language models in unpredictable and undesirable ways as practitioners lack a clear
understanding
language models
human feedback can alter language models in unpredictable and undesirable ways as practitioners lack a clear understanding of what feedback data encodes
we consider the problem of density estimation in the context of multiscale
langevin
langevin dynamics
we consider the problem of density estimation in the context of multiscale langevin diffusion processes where a single-scale homogenized surrogate model can be derived
we then apply it to a higher-order spin-glass hamiltonian with 156
qubits
qubit readout
we then apply it to a higher-order spin-glass hamiltonian with 156 qubits executed on ibm quantum processors
6g wireless networks are poised to seamlessly integrate
communication
wireless networks
6g wireless networks are poised to seamlessly integrate communication computing localization and sensing functionalities ensuring high reliability and trustworthiness
compact accretion disks in the aftermath of
tidal
tidal field
compact accretion disks in the aftermath of tidal disruption events parameter inference from joint x-ray spectra and uv optical photometry fitting
it remains an open question whether the adaptive immune system relies solely on kinetic
proofreading
adaptive immune
it remains an open question whether the adaptive immune system relies solely on kinetic proofreading to boost fidelity
we investigate the semi-discrete optimal transport ot
problem
minimax optimal
we investigate the semi-discrete optimal transport ot problem where a continuous source measure mu is transported to a discrete target measure nu with particular attention to the ot map approximation
however current watermarking solutions hardly resolve the trust issue the non-public watermark
detection
watermark detection
however current watermarking solutions hardly resolve the trust issue the non-public watermark detection cannot prove itself faithfully conducting the detection
estimating the causal dose-response function is challenging particularly when data from a single source are insufficient to estimate responses precisely across all
exposure
causal effects
estimating the causal dose-response function is challenging particularly when data from a single source are insufficient to estimate responses precisely across all exposure levels
human evaluation confirms 100 correctness of the
synthesized
findings highlight
human evaluation confirms 100 correctness of the synthesized data
quantum imaging with entangled photon pairs promises performance beyond classical limits yet phase-matching
nonlinear
quantum algorithm
quantum imaging with entangled photon pairs promises performance beyond classical limits yet phase-matching nonlinear crystal properties and pump size jointly constrain its ultimate spatial resolution
aiming for biological plausibility each network has a small
receptive
neural representations
aiming for biological plausibility each network has a small receptive field thus receiving a fixed part of the external input and the networks do not share weights
stabilizability with bounded feedback for analytic linear
control
control systems
stabilizability with bounded feedback for analytic linear control systems
can video-llms achieve consistent temporal
understanding
temporal understanding
can video-llms achieve consistent temporal understanding when videos capture the same event from different viewpoints
we investigate the adaptive ambush strategy in cyclic models following the rules of the
spatial
game theory
we investigate the adaptive ambush strategy in cyclic models following the rules of the spatial rock-paper-scissors game
when subject to persistent environmental change the population adapts by utilising
mutations
environmental change
when subject to persistent environmental change the population adapts by utilising mutations that allow it to track the changing environment
the originality of this work lies in combining optimal
control
optimal control
the originality of this work lies in combining optimal control theory with global sensitivity analysis thus bridging numerical methods optimization and epidemic modeling
in this paper we explore the stellar mass profiles of a
sample
galaxy cgm
in this paper we explore the stellar mass profiles of a sample of disk galaxies with similar stellar masses sim 10 10 m _ odot using iac stripe82 legacy project data
experimental verification is scarce however especially in the telecom range because real photonic crystals and experimental
methods
nonlinear optical
experimental verification is scarce however especially in the telecom range because real photonic crystals and experimental methods inherently cannot be homogeneous in the third dimension
to address these challenges we propose the bayesian network llm fusion bnlf framework which integrates predictions from three llms including finbert roberta and bertweet through a probabilistic mechanism for
sentiment
large language models llms
to address these challenges we propose the bayesian network llm fusion bnlf framework which integrates predictions from three llms including finbert roberta and bertweet through a probabilistic mechanism for sentiment analysis
the proposed motdiff consists of two key components 1 a new conditional diffusion framework that uses multi-scale feature maps extracted from a single blurred image as a condition and 2 a new training method that can promote precise identification of a fine-grained motion trajectory consistent estimation of overall sha...
motion
optical flow
the proposed motdiff consists of two key components 1 a new conditional diffusion framework that uses multi-scale feature maps extracted from a single blurred image as a condition and 2 a new training method that can promote precise identification of a fine-grained motion trajectory consistent estimation of overall sha...
geometric interpretation of brownian motion on
riemannian
brownian motion
geometric interpretation of brownian motion on riemannian manifolds
in the problem of nonparametric density estimation two primary methods kernel
density
density estimation
in the problem of nonparametric density estimation two primary methods kernel density estimation and log-concave maximum likelihood estimation have been proposed yet their theoretical properties remain largely unexplored
in contrast to conventional f-stirap designed to drive a system from an eigenstate into a
coherent
coherent control
in contrast to conventional f-stirap designed to drive a system from an eigenstate into a coherent superposition our scheme enables arbitrary control over the composition of an already existing superposition state
the emergence of large vision-language models vlms such as gpt and claude enables zero-shot semantic
reasoning
vision-language models vlms
the emergence of large vision-language models vlms such as gpt and claude enables zero-shot semantic reasoning from visual and textual inputs
the framework provides practical tools for detecting when localized
treatments
treatment assignment
the framework provides practical tools for detecting when localized treatments become systemic and identifying critical thresholds for policy intervention
phylogenetic trees capture evolutionary relationships among
species
phylogenetic tree
phylogenetic trees capture evolutionary relationships among species and reflect the forces that shaped them
we derive the physical properties by conducting spectral
energy
host galaxy
we derive the physical properties by conducting spectral energy distribution sed fitting revealing that our target is a young age sim2 myr starburst galaxy with intense radiation field
clone deterministic 3d worlds with geometrically-regularized
world
world models
clone deterministic 3d worlds with geometrically-regularized world models
the framework comprises two principal components i an augmented-state model with an auxiliary budget state that tracks soft-constraint
violations
soft constraints
the framework comprises two principal components i an augmented-state model with an auxiliary budget state that tracks soft-constraint violations and ii a regularization-based approximation of the discontinuous hamilton-jacobi value function associated with the reach-avoid differential game studied herein
in animals category learning enhances discrimination between stimuli close to the
category
visual stimuli
in animals category learning enhances discrimination between stimuli close to the category boundary
rethinking cross-lingual alignment balancing transfer and cultural erasure in
multilingual
multilingual data
rethinking cross-lingual alignment balancing transfer and cultural erasure in multilingual llms
5 exhibits strong native multimodal capabilities including long-horizon vision-language generation any-to-image x2i
generation
video generation
5 exhibits strong native multimodal capabilities including long-horizon vision-language generation any-to-image x2i generation and complex text-rich image generation
specifically we propose an additive instrumental variable framework to identify mean potential outcomes and the
average
average treatment effect
specifically we propose an additive instrumental variable framework to identify mean potential outcomes and the average treatment effect with a weighting function
deterministic classical limit of the optimal
control
optimal control
deterministic classical limit of the optimal control problem of quantum particles with spin
we further show that abstention is a versatile tool with direct applications to other core problems in policy learning it yields improved guarantees under margin conditions without the common realizability assumption connects to distributionally robust policy learning by hedging against small data shifts and supports s...
policy
policy evaluation
we further show that abstention is a versatile tool with direct applications to other core problems in policy learning it yields improved guarantees under margin conditions without the common realizability assumption connects to distributionally robust policy learning by hedging against small data shifts and supports s...
we perform empirical evaluations on synthetic
datasets
real-world datasets
we perform empirical evaluations on synthetic datasets and real-world examples to characterize and compare mka to its contemporaries
this work demonstrates the feasibility of transforming
phylogenies
phylogenetic diversity
this work demonstrates the feasibility of transforming phylogenies into gnn-compatible structures and highlights attention-based models as effective tools for detecting positive selection aiding genomic surveillance and variant prioritisation
to assess the worst-case load shedding induced by this model we propose a bilevel attacker-defender verification approach that finds the nn line switching decisions that cause the highest quantity of network
load
load shedding
to assess the worst-case load shedding induced by this model we propose a bilevel attacker-defender verification approach that finds the nn line switching decisions that cause the highest quantity of network load shedding
unravelling the mechanisms of manipulating
numbers
vision-language models
unravelling the mechanisms of manipulating numbers in language models
additional concerns such as invasive species water or
energy
environmental change
additional concerns such as invasive species water or energy scarcity infrastructure problems and austerity were also considered
we investigate whether large language models
llms
large language models llms
we investigate whether large language models llms can act as in-context meta-learners for this task
second to guarantee pose-level safety pose correction based on penetration direction and line search is applied ensuring that each pose in the
trajectory
motion planning
second to guarantee pose-level safety pose correction based on penetration direction and line search is applied ensuring that each pose in the trajectory is collision-free and maximally clear from obstacles
to understand how users perceive the privacy-preservation quality and helpfulness of
llm
llm responses
to understand how users perceive the privacy-preservation quality and helpfulness of llm responses to privacy-sensitive scenarios we conducted a user study with 94 participants using 90 scenarios from privacylens
multimodal large language models mllms have demonstrated
extraordinary
large language
multimodal large language models mllms have demonstrated extraordinary progress in bridging textual and visual inputs
phase transitions and virtual exceptional points in
quantum
spontaneous emission
phase transitions and virtual exceptional points in quantum emitters coupled to dissipative baths
moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a
ferrimagnetic
magnetic properties
moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a ferrimagnetic response
deep neural networks dnns have been used to model complex
optimization
gradient descent
deep neural networks dnns have been used to model complex optimization problems in many applications yet have difficulty guaranteeing solution optimality and feasibility despite training on large datasets
when applied to humans and macaques maps identifies ann-explanation combinations whose explanations align most closely with biological
vision
receptive fields
when applied to humans and macaques maps identifies ann-explanation combinations whose explanations align most closely with biological vision achieving the behavioral validity of bubble masks while requiring far fewer behavioral trials
specifically braincognizer introduces two modules the cognitive integration module which incorporates prior human knowledge to extract hierarchical region semantics and the
cognitive
human brain
specifically braincognizer introduces two modules the cognitive integration module which incorporates prior human knowledge to extract hierarchical region semantics and the cognitive correlation module which captures contextual semantic relationships across regions
despite rapid progress current world models
remain
world models
despite rapid progress current world models remain brittle and degrade over long horizons
human feedback is critical for aligning ai
systems
ai systems
human feedback is critical for aligning ai systems to human values
at the heart of reinforcement learning are actions --
decisions
reward models
at the heart of reinforcement learning are actions -- decisions made in response to observations of the environment
here we introduce a topological framework that defines and detects localities in human
mobility
mobility networks
here we introduce a topological framework that defines and detects localities in human mobility networks
in this paper we consider a full-duplex fd integrated sensing and communication isac system in which the base station bs performs downlink and uplink communications with multiple users while simultaneously
sensing
integrated sensing
in this paper we consider a full-duplex fd integrated sensing and communication isac system in which the base station bs performs downlink and uplink communications with multiple users while simultaneously sensing multiple targets
pair approximation meets reality diffusion of innovation in organizational networks within the
biased-independence
opinion dynamics
pair approximation meets reality diffusion of innovation in organizational networks within the biased-independence q-voter model
a short review on two-step laser processing of
material
pulsed laser ablation liquids
a short review on two-step laser processing of material is presented
in the backbone network we introduce the partially-aware detail focus padf module to enhance feature
extraction
feature extraction
in the backbone network we introduce the partially-aware detail focus padf module to enhance feature extraction for small objects
the growing success of vision-language-action vla models stems from the promise that pretrained vision-language models vlms can endow agents with transferable world knowledge and
vision-language
vision-language models
the growing success of vision-language-action vla models stems from the promise that pretrained vision-language models vlms can endow agents with transferable world knowledge and vision-language vl grounding laying a foundation for action models with broader generalization
through our work we aim to foster state of the art research into generalizable robust and safe end-to-end autonomous driving agents capable of handling complex
real-world
real-world scenarios
through our work we aim to foster state of the art research into generalizable robust and safe end-to-end autonomous driving agents capable of handling complex real-world situations
through a systematic survey of 258 chi papers from 2020-2025 on llms we discuss how hci hardly perceives
llm
llm responses
through a systematic survey of 258 chi papers from 2020-2025 on llms we discuss how hci hardly perceives llm reasoning as a product of sociotechnical orchestration and often references it as an object of application
to test this we conducted a randomized controlled experiment n 486 comparing a two variants of reflective human-led modes in which the llm elicits elaboration through suggestions or questions against b a proactive model-led mode in which the
llm
llm reasoning
to test this we conducted a randomized controlled experiment n 486 comparing a two variants of reflective human-led modes in which the llm elicits elaboration through suggestions or questions against b a proactive model-led mode in which the llm independently rewrites ideas
all you need for object detection from pixels
points
point tracking
all you need for object detection from pixels points and prompts to next-gen fusion and multimodal llms vlms in autonomous vehicles
this paper starts by providing an overview of the
estimators
density-ratio estimation
this paper starts by providing an overview of the estimators computed by the command
28 higher accuracy substantially outperforming frontier models such as claude 4 and openai o3 in pairwise
reward
reward density
28 higher accuracy substantially outperforming frontier models such as claude 4 and openai o3 in pairwise reward judgments
we formulate and study an optimal control problem where mosquito controls are temperature-dependent and the decision to start or stop applying the
control
control strategies
we formulate and study an optimal control problem where mosquito controls are temperature-dependent and the decision to start or stop applying the control methods is influenced by the changes in temperature
tests on synthetic and real-world networks show that the genepy can shed new light about the nodes centrality carrying information generally poorly correlated with the nodes number of direct connections
nodes
multiplex networks
tests on synthetic and real-world networks show that the genepy can shed new light about the nodes centrality carrying information generally poorly correlated with the nodes number of direct connections nodes degree
this work represents the theoretical foundations of this cooperative
manipulation
robotic manipulation
this work represents the theoretical foundations of this cooperative manipulation control framework and thus the experiments are presented in an abstract way while giving pointers towards potential future applications
we introduce coupled flow matching cpfm a framework that integrates controllable dimensionality reduction and
high-fidelity
gradient flow
we introduce coupled flow matching cpfm a framework that integrates controllable dimensionality reduction and high-fidelity reconstruction
our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum
correlations
open quantum
our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum correlations with applications in quantum simulation state preparation and sensing protocols
in this paper we report on the results and outcomes of the tn commissioning campaign including optical
communication
optical communication
in this paper we report on the results and outcomes of the tn commissioning campaign including optical communication links with on-orbit spacecraft the performance of the tn-2 adaptive optics system the rapid deployment capability of tn-3 remote network operations of all three nodes and interoperability tests with othe...
the model is fine-tuned on curated student
code
code review
the model is fine-tuned on curated student code and expert feedback to ensure pedagogically aligned context-aware guidance
that decode specific relational facts in transformer
language
language models
that decode specific relational facts in transformer language models
a popular opinion is that much of the contextual influences arise from feedback from higher visual
areas
human brain
a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger receptive fields
network contagion dynamics in european banking a navier-stokes framework for
systemic
european banking
network contagion dynamics in european banking a navier-stokes framework for systemic risk assessment
we propose link-kg a modular framework that integrates a three-stage llm-guided
coreference
coreference resolution
we propose link-kg a modular framework that integrates a three-stage llm-guided coreference resolution pipeline with downstream kg extraction
our end-to-end evaluation and comparison to simulations show good multi-object
tracking
multi-object tracking
our end-to-end evaluation and comparison to simulations show good multi-object tracking performance with mean absolute error 1
these findings highlight challenges in achieving logical consistency in llms
normative
reasoning tasks
these findings highlight challenges in achieving logical consistency in llms normative reasoning and provide insights for enhancing their reliability
gas-phase density functional theory dft agrees with these features and enables
assignment
density functional
gas-phase density functional theory dft agrees with these features and enables assignment of specific intramolecular motions
macroeconomic stars -namely the level of potential output the growth rate of potential
output
monetary policy
macroeconomic stars -namely the level of potential output the growth rate of potential output trend inflation and the neutral interest rate
multi-objective model predictive control mompc for fixed point
stabilization
data-driven stabilization
multi-objective model predictive control mompc for fixed point stabilization requires an automated a priori decision-making mechanism to translate a high-level preference into a single solution to be implemented
at the heart of reinforcement learning are
actions
policy learning
at the heart of reinforcement learning are actions -- decisions made in response to observations of the environment
these findings offer empirical insights for designing robust
llm-based
llm inference
these findings offer empirical insights for designing robust llm-based pipelines for extracting structured representations from complex legal texts
our novel approach expands the capabilities of the
robot
motion planning
our novel approach expands the capabilities of the robot s inverse kinematics solver empowering it to acquire a sequential repertoire of actions using tools of varying lengths
for tree edit distance we introduce a new static
reduction
edit distance
for tree edit distance we introduce a new static reduction that improves the best-known approximation ratio from n 3 4 to tilde o sqrt n and removes the restriction to constant-degree trees
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with
fmri
visual stimuli
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with fmri which helps illuminate how the brain represents the world
our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of
llms
models llms
our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of llms architectures
as urban systems mature this growth advantage fades and
cities
urban systems
as urban systems mature this growth advantage fades and cities of all sizes grow at similar rates
accurate calibration of a stewart platform is important for their precise and
efficient
calibration plate
accurate calibration of a stewart platform is important for their precise and efficient operation
the safety function and guidance fields are then combined to define a safety constraint and used to synthesize a risk-aware safety filter which given a semantic understanding of an environment with associated risk levels of environmental features guarantees safety while prioritizing
avoidance
obstacle avoidance
the safety function and guidance fields are then combined to define a safety constraint and used to synthesize a risk-aware safety filter which given a semantic understanding of an environment with associated risk levels of environmental features guarantees safety while prioritizing avoidance of higher risk obstacles
building on this reformulation we develop two novel tests that leverage modern machine learning
methods
machine learning
building on this reformulation we develop two novel tests that leverage modern machine learning methods for flexible estimation
as a byproduct we also provide a separation between incremental and decremental algorithms for the triangle detection problem we show a decremental algorithm with tilde o n omega total update time while every incremental algorithm requires n 3-o 1 total
update
online algorithm
as a byproduct we also provide a separation between incremental and decremental algorithms for the triangle detection problem we show a decremental algorithm with tilde o n omega total update time while every incremental algorithm requires n 3-o 1 total update time assuming the omv hypothesis
slideagent employs specialized agents and decomposes reasoning into three
specialized
language agents
slideagent employs specialized agents and decomposes reasoning into three specialized levels-global page and element-to construct a structured query-agnostic representation that captures both overarching themes and detailed visual or textual cues
optimal transmit field distribution for partially obstructed continuous radiating surfaces in
near-field
near-field beam
optimal transmit field distribution for partially obstructed continuous radiating surfaces in near-field communication systems
through sed fitting we determine the luminosities of these
quasars
massive galaxies
through sed fitting we determine the luminosities of these quasars and find that their dust torus sizes follow the established r_ dust -l_ agn relation reported in previous studies
specifically we document how in multiparty settings humans shaped their conduct in such a way as to
remain
physiological signals
specifically we document how in multiparty settings humans shaped their conduct in such a way as to remain undetected by the machine s sensors
we adopt the markov decision process mdp framework to handle energy variability while aiming to maximize the long-term
task
markov decision
we adopt the markov decision process mdp framework to handle energy variability while aiming to maximize the long-term task completion rate
the results show that the vari-linear network model maintains high fitting accuracy across
multiple
multiplex networks
the results show that the vari-linear network model maintains high fitting accuracy across multiple real-world networks of varying types and scales