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we demonstrate resolution reconfiguration in which the
resolution
temporal resolution
we demonstrate resolution reconfiguration in which the resolution of less important channels is scaled down to save power
despite rapid progress current world models
remain
world models
despite rapid progress current world models remain brittle and degrade over long horizons
these findings suggest that resting-state eeg connectivity patterns can index stable
cognitive
cognitive neuroscience
these findings suggest that resting-state eeg connectivity patterns can index stable cognitive traits such as creativity
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with
fmri
brain activity
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
smoothed analysis of online metric matching with a single sample beyond
metric
online algorithm
smoothed analysis of online metric matching with a single sample beyond metric distortion
mobility data are now routinely used to improve such forecasts yet work diverges on whether the volume of mobility or the structure of
mobility
mobility networks
mobility data are now routinely used to improve such forecasts yet work diverges on whether the volume of mobility or the structure of mobility networks carries the most predictive signal
while there are many available methods to assess machine learning calibration and recalibrate faulty predictions less effort has been spent on developing approaches that continually monitor
predictive
predictive performance
while there are many available methods to assess machine learning calibration and recalibrate faulty predictions less effort has been spent on developing approaches that continually monitor predictive models for potential loss of calibration as time passes
as applications we derive limiting analogues of commonly used multiplex features such as
degree
degree distributions
as applications we derive limiting analogues of commonly used multiplex features such as degree distributions and clustering coefficients
this study bridges the gap between the two approaches by showing that both are based on essentially the same
optimization
policy optimization
this study bridges the gap between the two approaches by showing that both are based on essentially the same optimization problem
overall we suggest that hvc ac-iii is entering the
galactic
galactic disk
overall we suggest that hvc ac-iii is entering the galactic wim layer and being sculpted by ram pressure into a droplet-like morphology providing a valuable case for studying the structure formation turbulence origin and dynamic evolution of hvcs as well as the physical properties of the ambient medium
previous studies have used networks to describe
interactions
collective systems
previous studies have used networks to describe interactions and explore the evolution of cooperation but with limited transposability to social settings due to biologically relevant assumptions
pvmark hinges upon the proof of correct execution of watermark
detection
watermark detection
pvmark hinges upon the proof of correct execution of watermark detection on which a set of zkp constraints are built including mapping random number generation comparison and summation
it remains open whether these algorithms can provide tight provable
guarantees
spanning trees
it remains open whether these algorithms can provide tight provable guarantees in i o-costs on trees
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-action vla
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
thus the time to complete each stage in viral
replication
viral replication
thus the time to complete each stage in viral replication is a random variable
we investigate predator-prey school interactions in aquatic environments using a
stochastic
stochastic differential
we investigate predator-prey school interactions in aquatic environments using a stochastic differential equation sde -based particle-level model that incorporates attraction repulsion alignment and environmental noise
we find that the gas in the core is blueshifted by v_z sim-200 km s -1 relative to the brightest
cluster
galactic nuclei
we find that the gas in the core is blueshifted by v_z sim-200 km s -1 relative to the brightest cluster galaxy while the low-entropy gas inside the cold front is redshifted by v_z sim 200 km s -1
the system achieved 99 detection accuracy on a self-collected dataset and supports simultaneous online visual verification severity
assessment
incident detection
the system achieved 99 detection accuracy on a self-collected dataset and supports simultaneous online visual verification severity assessment and incident-induced congestion propagation monitoring via a web-based interface
applications of machine learning in polymer materials property prediction
material
machine learning
applications of machine learning in polymer materials property prediction material design and systematic processes
we propose basis voting a plurality-rule estimator - novel in the spatial literature - that consistently identifies
causal
causal inference
we propose basis voting a plurality-rule estimator - novel in the spatial literature - that consistently identifies causal effects only under the assumption that in a spatial basis expansion of the exposure and confounder there exist several basis functions in the support of the exposure but not the confounder
further we found high agreement among five proxy
llms
proxy llms
further we found high agreement among five proxy llms while each individual llm had low correlation with users evaluations
we investigate a quantum heat engine where energy exchanges are driven by generalized measurements and the sequence of these
operations
quantum algorithm
we investigate a quantum heat engine where energy exchanges are driven by generalized measurements and the sequence of these operations is coherently controlled in a superposition of causal orders
spin-momentum locking in altermagnets has been
deeply
spin-momentum locking
spin-momentum locking in altermagnets has been deeply explored in the non-relativistic limit
in the current study using the human connectome project hcp dataset we examined the relationship between brain activation and
working
working memory
in the current study using the human connectome project hcp dataset we examined the relationship between brain activation and working memory performance in two conditions i
artificial intelligence systems based on large
language
artificial intelligence
artificial intelligence systems based on large language models llms can now generate coherent text music and images yet they operate without a persistent state each inference reconstructs context from scratch
while test-time scaling tts has proven effective in improving the reasoning ability of large language models llms low diversity in model outputs often becomes a bottleneck this is partly caused by the common one
problem
smaller models
while test-time scaling tts has proven effective in improving the reasoning ability of large language models llms low diversity in model outputs often becomes a bottleneck this is partly caused by the common one problem one solution 1p1s training practice which provides a single canonical answer and can push models tow...
our main contribution is a set of reductions and decompositions that transform dyck and tree edit distance instances into efficiently maintainable string
edit
edit distance
our main contribution is a set of reductions and decompositions that transform dyck and tree edit distance instances into efficiently maintainable string edit distance instances which can be approximated within a n o 1 factor in n o 1 update time
we present a sample of 212 early-type galaxies
etgs
dark matter
we present a sample of 212 early-type galaxies etgs at redshifts 0
shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from
jwst
dwarf galaxies
shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from jwst nirspec and miri mrs spectroscopy
this observed behaviour is consistent with game-theoretic predictions provided the assumption of perfect rationality is relaxed in favour of bounded
rationality
game theory
this observed behaviour is consistent with game-theoretic predictions provided the assumption of perfect rationality is relaxed in favour of bounded rationality -- specifically procedural rationality
although a recent niche-size model replicates this scaling its mathematical
origin
growth rates
although a recent niche-size model replicates this scaling its mathematical origin and the exponent s value remain unclear
understanding the dynamics of the spread of
diseases
infectious individuals
understanding the dynamics of the spread of diseases within populations is critical for effective public health interventions
we provide extensive simulation experiments demonstrating the validity of our sensitivity approach and diagnostics and apply our approach to two
empirical
empirical application
we provide extensive simulation experiments demonstrating the validity of our sensitivity approach and diagnostics and apply our approach to two empirical applications
our findings reveal that despite being designed to enhance efficiency cognitive strategies can reduce the abundance of the
species
evolutionary dynamics
our findings reveal that despite being designed to enhance efficiency cognitive strategies can reduce the abundance of the species due to the constraints of cyclic dominance
to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of
robots
robotic manipulation
to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of robots developed by the author and his team at the autonomous microrobotic systems laboratory amsl
the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate
collision
dynamic obstacles
the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate collision rate path efficiency and re-planning efficiency in dynamic and partially observable environments
aem first generates task-conditioned synthetic choices via llms then learns a bias-correction mapping from task features and raw llm choices to human-aligned
choices
policy learning
aem first generates task-conditioned synthetic choices via llms then learns a bias-correction mapping from task features and raw llm choices to human-aligned choices upon which standard econometric estimators perform inference to recover demand elasticities and treatment effects
the key task of machine learning is to minimize the loss function that measures the model fit to the
training
gradient descent
the key task of machine learning is to minimize the loss function that measures the model fit to the training data
previous work established one-way reductions showing how suffix
array
suffix array
previous work established one-way reductions showing how suffix array queries can be answered using for example rank queries on the burrows-wheeler transform
experiments on synthetic datasets that include complex trajectories demonstrated that the proposed method provides competitive approximation quality in terms of the wasserstein distance energy
distance
real-world datasets
experiments on synthetic datasets that include complex trajectories demonstrated that the proposed method provides competitive approximation quality in terms of the wasserstein distance energy distance and rmse metrics especially in cases of pronounced nonlinearity
leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy
reinforcement
reinforcement learning
leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy reinforcement learning
this perspective paper proposes a framework for embodying physical computing into soft robots and discusses three unique strategies in the literature analog oscillators physical reservoir
computing
physical computing
this perspective paper proposes a framework for embodying physical computing into soft robots and discusses three unique strategies in the literature analog oscillators physical reservoir computing and physical algorithmic computing
non-monotone submodular maximization subject to a matroid
constraint
monotone submodular
non-monotone submodular maximization subject to a matroid constraint under noise
2 we design an algorithm that gathers all of them in
poly
poly log
2 we design an algorithm that gathers all of them in poly n log lambda time where n resp
the vision-language agent itself includes a vision-based task planner a natural
language
vision-language models
the vision-language agent itself includes a vision-based task planner a natural language instruction converter and a task performance feedback evaluator
x-ray diffraction and atomic force microscopy reveal that while thin
aln
aln buffer
x-ray diffraction and atomic force microscopy reveal that while thin aln layers 120 nm exhibit compressive strain and smooth step-flow surfaces thicker single-layer buffers 550 nm develop tensile strain and increased surface roughness
this study highlights the importance of the bs and inspires a novel approach for probing dense gas on sub-parsec scales in galactic nuclei by decomposing the bs radio spectrum to reveal the conditions of circumnuclear
dense
dense gas
this study highlights the importance of the bs and inspires a novel approach for probing dense gas on sub-parsec scales in galactic nuclei by decomposing the bs radio spectrum to reveal the conditions of circumnuclear dense gas
where galaxies go to die the environments of massive
quiescent
massive stars
where galaxies go to die the environments of massive quiescent galaxies at 3 z 5
the first experiment involved the co-deposition of co and
h
molecular gas
the first experiment involved the co-deposition of co and h atoms with or without ne
but does the test accuracy of such predictions identify
genuine
encoding models
but does the test accuracy of such predictions identify genuine representational alignment
we analyze a centralized planner and a non-cooperative
game
expansion planning
we analyze a centralized planner and a non-cooperative game with stationary markov strategies
we investigate traveling wave solutions in the two-species reaction-diffusion lotka-volterra
competition
traveling waves
we investigate traveling wave solutions in the two-species reaction-diffusion lotka-volterra competition system under weak competition
while photonic lanterns efficiently and uniquely map a set of input modes to single-mode outputs or vice versa the optical mode transfer matrix of any particular fabricated device cannot be constrained at the
design
integrated photonics
while photonic lanterns efficiently and uniquely map a set of input modes to single-mode outputs or vice versa the optical mode transfer matrix of any particular fabricated device cannot be constrained at the design stage due to manufacturing imperfections
specifically we argue that when the outcome generating mechanism is invariant to our choice of da then such augmentations can effectively be thought of as interventions on the
treatment
treatment effect
specifically we argue that when the outcome generating mechanism is invariant to our choice of da then such augmentations can effectively be thought of as interventions on the treatment generating mechanism itself
these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while
linearly
receptive fields
these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across regions or models
we establish consistency convergence rate and
asymptotic
asymptotic normality
we establish consistency convergence rate and asymptotic distribution for the estimator of the bounds
dynamic spatial treatment effects and network
fragility
network fragility
dynamic spatial treatment effects and network fragility theory and evidence from european banking
smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion rate at each
redshift
quiescent galaxies
smbhs are evolved following the stellar mass growth of their host galaxies by assigning an accretion rate at each redshift from the empirical eddington ratio distributions and duty cycles
the control problem is formulated as a markov decision
process
markov decision
the control problem is formulated as a markov decision process in which the agent periodically adjusts cell individual offset cio values to steer user-cell associations
example absorption line systems through a
fiducial
absorption line
example absorption line systems through a fiducial galaxy cgm model are presented
disturbances to this bounded distance often happened in association with changes in either their
agency
external disturbances
disturbances to this bounded distance often happened in association with changes in either their agency or their formation states
to address this gap we investigate the limitations of text-based slt evaluation metrics by analyzing six
metrics
evaluation metrics
to address this gap we investigate the limitations of text-based slt evaluation metrics by analyzing six metrics including bleu chrf and rouge as well as bleurt on the one hand and large language model llm -based evaluators such as g-eval and gemba zero-shot direct assessment on the other hand
we introduce textbf bots a unified framework for textbf b ayesian textbf o nline textbf t ask textbf s election in llm
reinforcement
reinforcement learning
we introduce textbf bots a unified framework for textbf b ayesian textbf o nline textbf t ask textbf s election in llm reinforcement finetuning
social media platforms generate massive volumes of heterogeneous data capturing user behaviors textual
content
social media
social media platforms generate massive volumes of heterogeneous data capturing user behaviors textual content temporal dynamics and network structures
distributed quantum computing dqc provides a promising route toward scalable quantum
computation
quantum correlations
distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches
these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in
quantum
quantum emitters
these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in quantum photonic circuits
the interplay between the accretion of supermassive black
holes
supermassive black
the interplay between the accretion of supermassive black holes smbhs and the stellar mass growth of the host galaxies is still a matter of hot debate
this behavior challenges conventional two-oscillator strong-coupling models and is only partially reproduced by transfer-matrix and
green
coupling regimes
this behavior challenges conventional two-oscillator strong-coupling models and is only partially reproduced by transfer-matrix and green s-function calculations suggesting the involvement of frequency-dependent self-energies or correlated dissipation
conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system
stability
predictive control
conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system stability under rapid renewable variations
we prove that combining diffusion models with an annealed variant of
langevin
diffusion models
we prove that combining diffusion models with an annealed variant of langevin dynamics achieves conditional sampling in polynomial time using merely an l 4 bound on the score error
these phenomena are intrinsically linked to the physical conditions of the medium which is permeated by magnetic
b
magnetic field
these phenomena are intrinsically linked to the physical conditions of the medium which is permeated by magnetic b fields affecting its transport and dynamics
this study experimentally tested whether short-term exposure to narrow ai tools enhances core cognitive abilities or simply optimizes
task
task performance
this study experimentally tested whether short-term exposure to narrow ai tools enhances core cognitive abilities or simply optimizes task performance
understanding how urban systems and traffic
dynamics
traffic dynamics
understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities
current progress in electro-optical modulation within silicon
integrated
integrated photonics
current progress in electro-optical modulation within silicon integrated photonics driven by the unique capabilities of advanced functional materials has led to significant improvements in device performance
twin-field quantum key distribution tf-qkd has emerged as a potential protocol for long distance secure communication overcoming the rate-distance limitations of conventional quantum
key
key distribution
twin-field quantum key distribution tf-qkd has emerged as a potential protocol for long distance secure communication overcoming the rate-distance limitations of conventional quantum key distribution without requiring trusted repeaters
contextual inference facilitates the creation learning and reuse of low-rank
rnn
recurrent neural networks
contextual inference facilitates the creation learning and reuse of low-rank rnn components as new tasks are introduced sequentially enabling continual learning without catastrophic forgetting
this fully demonstrates the advantages of this
generative
image reconstruction
this fully demonstrates the advantages of this generative image fusion method drawing inspiration from human cognition in enhancing structural consistency and detail quality
a unified theory for causal inference direct debiased machine
learning
policy learning
a unified theory for causal inference direct debiased machine learning via bregman-riesz regression
randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity
centrality
complex networks
randomizing the structure of a network is a classic procedure used to estimate the statistical significance of properties of the network such as transitivity centrality and community structure
we reveal that in environments with higher
external
dense gas
we reveal that in environments with higher external density enhanced mass inflow from the envelope leads to bondi-like accretion as the protostellar mass increases
furthermore the dataset features a rich variety of question formats including 11 common exam question types providing a solid foundation for comprehensively evaluating llms
capabilities
reasoning curriculum
furthermore the dataset features a rich variety of question formats including 11 common exam question types providing a solid foundation for comprehensively evaluating llms capabilities in education
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with
fmri
human brain
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
based on the results we further propose a full streaming
inference
vla models
based on the results we further propose a full streaming inference framework for real-time robot control of vla
we aim at exploring the existence of a stellar mass-metallicity relation of bulges mz r and analyze the possible imprint of characteristics features by accretion and migration of
stars
massive stars
we aim at exploring the existence of a stellar mass-metallicity relation of bulges mz r and analyze the possible imprint of characteristics features by accretion and migration of stars which could store information on their assembly histories
the faster the rate of change of the environment the larger the effect of the
mutations
climate change
the faster the rate of change of the environment the larger the effect of the mutations that are utilised
with this second approach structural information can be obtained with atomic scale spatial resolution allowing
atomic
atomic force microscopy
with this second approach structural information can be obtained with atomic scale spatial resolution allowing atomic defect imaging
monthly rural-urban scaling of road accidents in
england
crash risk
monthly rural-urban scaling of road accidents in england wales and scotland 2019-2023
in this work we report momentum-resolved reflectivity measurements on
photonic
photonic circuits
in this work we report momentum-resolved reflectivity measurements on photonic crystals that are periodic in two dimensions and homogeneous over a thickness of 5 mu m
efficiently recycling these states to extract entanglement resources such as genuine
multipartite
multipartite entanglement
efficiently recycling these states to extract entanglement resources such as genuine multipartite entanglement or einstein-podolsky-rosen pairs is essential for optimizing network performance
in the proposed system the target illumination signal is transmitted on the downlink radar sub-band whereas uplink users transmit on the uplink
communication
wireless systems
in the proposed system the target illumination signal is transmitted on the downlink radar sub-band whereas uplink users transmit on the uplink communication sub-band
tight collision avoidance for stochastic optimal control with applications in learning-based
interactive
collision avoidance
tight collision avoidance for stochastic optimal control with applications in learning-based interactive motion planning
cave supports three open-ended tasks anomaly description explanation and justification with fine-grained annotations for visual grounding and categorizing
anomalies
anomaly detection
cave supports three open-ended tasks anomaly description explanation and justification with fine-grained annotations for visual grounding and categorizing anomalies based on their visual manifestations their complexity severity and commonness
a novel geometric deep network is used to propose an ensemble
deep
neural network
a novel geometric deep network is used to propose an ensemble deep network
for training purposes we prepared a set of 1 730 annotated
images
object detection
for training purposes we prepared a set of 1 730 annotated images that were captured under various traffic conditions
unlike the curie-weiss type divergence typically observed in diluted magnetic systems our findings reveal a distinct enhancement of magnetization per er 3 ion under high
magnetic
magnetic properties
unlike the curie-weiss type divergence typically observed in diluted magnetic systems our findings reveal a distinct enhancement of magnetization per er 3 ion under high magnetic fields suggesting an unconventional mechanism
the street has emerged as a primary site where everyday publics are confronted with ai as an infrastructural phenomenon as machine learning-based
systems
artificial intelligence
the street has emerged as a primary site where everyday publics are confronted with ai as an infrastructural phenomenon as machine learning-based systems are now commonly deployed in this setting in the form of automated cars facial recognition smart billboards and the like
8 and 1 are investigated by impedance spectroscopy and neutron
diffraction
x-ray diffraction
8 and 1 are investigated by impedance spectroscopy and neutron diffraction respectively
we also review commonly used benchmark datasets and
evaluation
real-world datasets
we also review commonly used benchmark datasets and evaluation metrics highlighting their strengths and limitations
by representing the robot s physical topology as a graph the proposed gnn-based policy captures coupling among components enabling faster and more stable
learning
learning agents
by representing the robot s physical topology as a graph the proposed gnn-based policy captures coupling among components enabling faster and more stable learning than conventional multilayer perceptron mlp policies
using score matching within a corresponding diffusion model we obtain an
estimator
density-ratio estimation
using score matching within a corresponding diffusion model we obtain an estimator of the bayesian posterior mathbb p x mid y in this setup