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the single-photon character of the emission form a qd in a trap is confirmed by measuring
single-photon
quantum emitters
the single-photon character of the emission form a qd in a trap is confirmed by measuring single-photon statistics
in cognitive science and ai a longstanding
question
neural representations
in cognitive science and ai a longstanding question is whether machines learn representations that align with those of the human mind
coherent control of quantum emitters is essential for scalable
quantum
quantum dot
coherent control of quantum emitters is essential for scalable quantum photonic technologies
we derive the physical properties by conducting
spectral
spectral energy distribution
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
motivated by these gaps we study ota-fl with stochastic gradient descent sgd for general smooth non-convex objectives under
wireless
wireless networks
motivated by these gaps we study ota-fl with stochastic gradient descent sgd for general smooth non-convex objectives under wireless heterogeneity
this paper introduces cypress crop yield prediction via regression on prithvi s encoder for satellite sensing a deep learning model designed for high-resolution intra-field canola
yield
yield prediction
this paper introduces cypress crop yield prediction via regression on prithvi s encoder for satellite sensing a deep learning model designed for high-resolution intra-field canola yield prediction
the performance of adp2-mac has been compared with the mac protocol for variable data rates mvdr which supports
heterogeneous
heterogeneous traffic
the performance of adp2-mac has been compared with the mac protocol for variable data rates mvdr which supports heterogeneous traffic by assigning different data rates based on traffic priority
symbiosis emergence and abandonment in nature a coordination
game
game theory
symbiosis emergence and abandonment in nature a coordination game approach
any single test applied uniformly across the population yields statistical
error
test statistics
any single test applied uniformly across the population yields statistical error that is sub-optimal relative to the performance of an oracle given access to the private information
to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance observer is added to provide
disturbance
bounded disturbances
to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance observer is added to provide disturbance estimates
we investigate the role of network architecture in shaping the inductive
biases
reward models
we investigate the role of network architecture in shaping the inductive biases of modern score-based generative models
furthermore we construct a large-scale synthetic panorama dataset containing high-quality
multimodal
image fusion
furthermore we construct a large-scale synthetic panorama dataset containing high-quality multimodal panoramas from diverse indoor and outdoor scenes
subsequently it elaborates on the key role of machine learning in polymer property prediction and material design covering the specific applications of algorithms such as traditional machine learning deep learning and transfer
learning
machine learning ml
subsequently it elaborates on the key role of machine learning in polymer property prediction and material design covering the specific applications of algorithms such as traditional machine learning deep learning and transfer learning further it deeply expounds on data-driven design strategies such as reverse design h...
human-in-the-loop online rejection sampling for
robotic
robotic manipulation
human-in-the-loop online rejection sampling for robotic manipulation
unlike traditional negative prompting methods that use fixed negative
prompts
prompt tuning
unlike traditional negative prompting methods that use fixed negative prompts our method generates intermediate image predictions at specific denoising steps and queries a vlm to produce contextually appropriate negative prompts
lifting and partial smoothing for stationary
hjb
hjb equation
lifting and partial smoothing for stationary hjb equations and related control problems in infinite dimensions
aircnn via reconfigurable intelligent surfaces architecture
design
reconfigurable intelligent
aircnn via reconfigurable intelligent surfaces architecture design and implementation
it not only provides a more quality foundational network framework for network research but also serve as the brand
new
multiplex networks
it not only provides a more quality foundational network framework for network research but also serve as the brand new paradigm for bridging the conceptual divide between various classical network models
our analysis allows for estimating a diverging number of
treatment
average treatment
our analysis allows for estimating a diverging number of treatment effects simultaneously and establishes the consistency and asymptotic normality of the regression-based estimators
this paper develops a dual-channel framework for analyzing technology diffusion that integrates spatial
decay
spatial decay
this paper develops a dual-channel framework for analyzing technology diffusion that integrates spatial decay mechanisms from continuous functional analysis with network contagion dynamics from spectral graph theory
we focus on the established variant where a habitat is considered sufficiently connected if it has diameter two in the solution and study its complexity in cases justified by our setting namely small habitat sizes on planar graphs and
graphs
regular graphs
we focus on the established variant where a habitat is considered sufficiently connected if it has diameter two in the solution and study its complexity in cases justified by our setting namely small habitat sizes on planar graphs and graphs of small maximum degree delta
the test statistics rely on an instrumental
variable
instrumental variable
the test statistics rely on an instrumental variable w that is independent of u given x
the fundamental challenge for the retailer is that
increasing
supply chain
the fundamental challenge for the retailer is that increasing selling price would hamper sales and would lead to unsold inventory
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar
masses
star formation
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of local group dwarf galaxies
we reveal that in environments with higher external density enhanced mass inflow from the envelope leads to bondi-like accretion as the
protostellar
circumgalactic medium
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
this paper presents a hierarchical path-planning and
control
optimal control
this paper presents a hierarchical path-planning and control framework that combines a high-level deep q-network dqn for discrete sub-goal selection with a low-level twin delayed deep deterministic policy gradient td3 controller for continuous actuation
we study the problem of estimating the average treatment effect ate under sequentially adaptive
treatment
treatment effect
we study the problem of estimating the average treatment effect ate under sequentially adaptive treatment assignment mechanisms
we first study how the boundary of the phase transition is modified by non-linear
exchange
molecular dynamics
we first study how the boundary of the phase transition is modified by non-linear exchange known to be present in spin-1 nanographenes using density matrix renormalization group dmrg
generating networks that more accurately reflect
real-world
scale-free networks
generating networks that more accurately reflect real-world patterns is a significant topic within complex network research
no hardness of approximation results were previously known for any
p
-approximation algorithm
no hardness of approximation results were previously known for any p infty
distributed quantum computing dqc provides a promising route toward scalable quantum
computation
quantum algorithm
distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches
the selected analogs predominantly exhibit two-armed m 2 spirals in both stars and gas while the gaseous
disks
galactic disk
the selected analogs predominantly exhibit two-armed m 2 spirals in both stars and gas while the gaseous disks often display stronger more tightly wound and multi-armed patterns m 2
toward socially-aware llms a survey of multimodal
approaches
large language models llms
toward socially-aware llms a survey of multimodal approaches to human behavior understanding
our novel approach expands the capabilities of the
robot
robotic systems
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
we summarized the patterns of behavior along with the sequences of state transitions into abstract patterns which can aid in the development of more detailed
group
emergent behaviors
we summarized the patterns of behavior along with the sequences of state transitions into abstract patterns which can aid in the development of more detailed group agents in simulation and in the design of engineering systems to interact with such groups
modern vision-language models vlms excel at many
multimodal
multimodal reasoning
modern vision-language models vlms excel at many multimodal tasks yet their grasp of temporal information in video remains weak and crucially under-evaluated
this review presents a comprehensive overview of recent ai-driven developments in modeling heat
conduction
heat conduction
this review presents a comprehensive overview of recent ai-driven developments in modeling heat conduction and radiation at the nanoscale
our approach effectively mitigates sparsity and cold-start limitations by integrating llm-derived contextual understanding into
graph-based
graph neural
our approach effectively mitigates sparsity and cold-start limitations by integrating llm-derived contextual understanding into graph-based architectures
we then demonstrate the efficacy of this approach for military-like costs such as protection and
obstacle
dynamic obstacles
we then demonstrate the efficacy of this approach for military-like costs such as protection and obstacle avoidance
the debiased plug-in j -test delivers satisfactory finite-sample inference and slim
scales
debiased machine
the debiased plug-in j -test delivers satisfactory finite-sample inference and slim scales smoothly to n 10 6
it introduces two key capabilities automated feedback generation using a fine-tuned large
language
language models
it introduces two key capabilities automated feedback generation using a fine-tuned large language model and visualization of student code submissions to uncover learning patterns
think outside the policy in-context steered
policy
reinforcement learning
think outside the policy in-context steered policy optimization
moreover employing multiple riss significantly enhances performance compared to a single ris especially in line-of-sight los -dominated
wireless
wireless networks
moreover employing multiple riss significantly enhances performance compared to a single ris especially in line-of-sight los -dominated wireless environments
furthermore the moving mass dynamics are expressed as an extension to the manoeuvring model for
underwater
moving mass
furthermore the moving mass dynamics are expressed as an extension to the manoeuvring model for underwater vehicles originally introduced by fossen 1991
large language models are influencing the
education
large language models llms
large language models are influencing the education landscape with students relying on them in their learning process
using a statistically significant sample of milky way- and andromeda-like mw m31 analogs from the high-resolution tng50
cosmological
massive galaxies
using a statistically significant sample of milky way- and andromeda-like mw m31 analogs from the high-resolution tng50 cosmological simulation we carry out the first systematic investigation of spiral-arm formation their observable properties and the underlying physical drivers
tuberculosis isolates from four major lineages and 249 single-nucleotide variants 84 resistance-associated and 165 neutral across 61 drug-resistance genes we constructed graphs where nodes represented isolates and edges reflected
phylogenetic
phylogenetic diversity
tuberculosis isolates from four major lineages and 249 single-nucleotide variants 84 resistance-associated and 165 neutral across 61 drug-resistance genes we constructed graphs where nodes represented isolates and edges reflected phylogenetic distances
the proposed cdob compensates for the adverse effects of time delays maintaining accurate trajectory
tracking
trajectory tracking
the proposed cdob compensates for the adverse effects of time delays maintaining accurate trajectory tracking even under uncertain and varying delay conditions
this article proposes a modular optimal control framework for local three-dimensional
ellipsoidal
optimal control
this article proposes a modular optimal control framework for local three-dimensional ellipsoidal obstacle avoidance exemplarily applied to model predictive path-following control
macroeconomic forecasting for the g7 countries under
uncertainty
monetary policy
macroeconomic forecasting for the g7 countries under uncertainty shocks
they have high columbic efficiency and minimal heat and
emission
carbon emissions
they have high columbic efficiency and minimal heat and emission footprints
the dicke model exhibits entropy-suppressed extensive behavior while the tavis--cummings model achieves super-extensive
scaling
super-heisenberg scaling
the dicke model exhibits entropy-suppressed extensive behavior while the tavis--cummings model achieves super-extensive scaling with alpha_ e_ mathrm max
the bounds are the solutions to optimization
problems
policy optimization
the bounds are the solutions to optimization problems for which we derive a computationally tractable dual formulation
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding
fmri
fmri data
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding fmri representations under the supervision of images
the increasing integration of intermittent distributed energy resources ders has introduced significant variability in distribution networks posing challenges to voltage regulation and reactive
power
power systems
the increasing integration of intermittent distributed energy resources ders has introduced significant variability in distribution networks posing challenges to voltage regulation and reactive power management
we find that the adaptive behavior gives rise to either a stable
equilibrium
evolutionary dynamics
we find that the adaptive behavior gives rise to either a stable equilibrium point or a stable limit cycle for a close to constant number of susceptibles i
the forward cir quantifies the temporal impact of a cause while the backward cir traces the onset of triggers for an observed effect thus characterizing
causal
causal inference
the forward cir quantifies the temporal impact of a cause while the backward cir traces the onset of triggers for an observed effect thus characterizing causal predictability and attribution of outcomes at each transient phase respectively
moreover our method uncovers informative heterogeneity patterns that are consistent with previous
empirical
empirical application
moreover our method uncovers informative heterogeneity patterns that are consistent with previous empirical findings
urban form and function shape mobility more profoundly than structure even though structure often exhibits higher correlations as observed in
cities
large cities
urban form and function shape mobility more profoundly than structure even though structure often exhibits higher correlations as observed in cities such as singapore new delhi london chicago and moscow
strain engineering is a powerful strategy for controlling the structural and electronic properties of two-dimensional materials particularly in systems hosting charge density wave
cdw
strain engineering
strain engineering is a powerful strategy for controlling the structural and electronic properties of two-dimensional materials particularly in systems hosting charge density wave cdw order
hence great effort has been put into identifying subclasses of integer
programs
integer programs
hence great effort has been put into identifying subclasses of integer programs that are solvable in polynomial or mathsf fpt time
our method constructs a language model graph that maps relationships between models from the semantic coherence of pairwise conversations and then applies community detection to identify
synergistic
language models
our method constructs a language model graph that maps relationships between models from the semantic coherence of pairwise conversations and then applies community detection to identify synergistic model clusters
this is the first evidence connecting the
complexity
time complexity
this is the first evidence connecting the complexity of 2d compressed indexing to long-standing open problems in the 1d setting
most ai systems today are designed to manage
tasks
artificial intelligence
most ai systems today are designed to manage tasks and execute predefined steps
through the judge s eyes inferred thinking traces improve
reliability
llm inference
through the judge s eyes inferred thinking traces improve reliability of llm raters
by employing a stochastic hopf-cole transformation we show that as we increase the population
size
stochastic differential
by employing a stochastic hopf-cole transformation we show that as we increase the population size the random dynamics of the model can be described by deterministic operations acting on the limiting population densities
mindfulness has been studied and practiced in
enhancing
mental health
mindfulness has been studied and practiced in enhancing psychological well-being while reducing neuroticism and psychopathological indicators
we then evaluate the impact of heuristic support adaptation on parameter inference and policy
learning
motion planning
we then evaluate the impact of heuristic support adaptation on parameter inference and policy learning for a dynamic deformable linear object dlo manipulation task
together these findings suggest that while navigational aids presented in ar can enhance search task
performance
task performance
together these findings suggest that while navigational aids presented in ar can enhance search task performance users may pay less attention to the physical environment which could have undesirable side-effects
neyman targeted estimation includes riesz
representer
riesz representer
neyman targeted estimation includes riesz representer estimation and we measure discrepancies using the bregman divergence
this gives rise to a new family of explicitly constructed
graphs
bipartite graphs
this gives rise to a new family of explicitly constructed graphs which may have other applications
two models are considered a fully connected deep
neural
neural network
two models are considered a fully connected deep neural network dnn and an long short-term memory lstm -based network
while limited to a single mathematical problem and a single language model this experiment illustrates both the promise and the current limitations of large
language
large language
while limited to a single mathematical problem and a single language model this experiment illustrates both the promise and the current limitations of large language models as mathematical collaborators
key topological metrics including scale-free exponents estrada heterogeneity and assortativity reveal that both the speed and variability of
learning
complex networks
key topological metrics including scale-free exponents estrada heterogeneity and assortativity reveal that both the speed and variability of learning critically shape system rationality and network architecture
in a tidal disruption event tde a star is disrupted by the
tidal
tidal disruption
in a tidal disruption event tde a star is disrupted by the tidal field of a massive black hole creating a debris stream that returns to the black hole forms an accretion flow and powers a luminous flare
such a decomposition plays a crucial role in many
graph
bipartite graphs
such a decomposition plays a crucial role in many graph algorithms
we identify the relevant scaling variable involving the ratio d nu of the separation between the confining walls d and the s-o
coupling
s-o coupling
we identify the relevant scaling variable involving the ratio d nu of the separation between the confining walls d and the s-o coupling magnitude nu
large language models llms face significant inference latency
challenges
models llms
large language models llms face significant inference latency challenges stemming from their autoregressive design and large size
in this paper we study how a conservative decision maker should map predictions endowed with these weaker partial calibration guarantees to actions in a way that is robust in a
minimax
minimax optimal
in this paper we study how a conservative decision maker should map predictions endowed with these weaker partial calibration guarantees to actions in a way that is robust in a minimax sense i
experiments demonstrate the effectiveness of the proposed framework under mobility-induced dynamics and offer useful insights for the practical deployment of fl over
wireless
wireless communication
experiments demonstrate the effectiveness of the proposed framework under mobility-induced dynamics and offer useful insights for the practical deployment of fl over wireless channels
through iterative debates the agents progressively refine their proposals producing increasingly effective
robot
mobile robots
through iterative debates the agents progressively refine their proposals producing increasingly effective robot designs
synthetic and experimental labeled datasets are used for training and
evaluation
machine learning
synthetic and experimental labeled datasets are used for training and evaluation of the model
we introduce a statistical framework that
captures
data fusion
we introduce a statistical framework that captures this structure through a hierarchical two-layer partition
however the uniquely strict requirements for high-fidelity
qubit
qubit readout
however the uniquely strict requirements for high-fidelity qubit transmission complicate the extent to which classical solutions may apply to future quantum networks particularly in terms of recognizing noise sources present in low-flux nonunitary channels
this paper presents a hierarchical path-planning and control framework that combines a high-level deep q-network dqn for discrete sub-goal selection with a low-level twin delayed deep deterministic
policy
reinforcement learning rl
this paper presents a hierarchical path-planning and control framework that combines a high-level deep q-network dqn for discrete sub-goal selection with a low-level twin delayed deep deterministic policy gradient td3 controller for continuous actuation
studying the different sources of data and noise that may contribute to
drift
continual learning
studying the different sources of data and noise that may contribute to drift is essential for understanding lifelong learning in neural systems
a common scheme for many of these integer
programs
integer programs
a common scheme for many of these integer programs is a star-like structure of the constraint matrix
spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the
milky
galactic disk
spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the milky way
our analysis allows for estimating a diverging number of
treatment
treatment regimes
our analysis allows for estimating a diverging number of treatment effects simultaneously and establishes the consistency and asymptotic normality of the regression-based estimators
early-assembling high-concentration halos form
stars
star formation
early-assembling high-concentration halos form stars efficiently and become gas-poor by z 0 while late-assembling low-concentration halos remain gas-rich due to delayed star formation and rejuvenated gas accretion
in parallel it has been observed that an widetilde o n 3 2 -bit
randomized
randomized algorithm
in parallel it has been observed that an widetilde o n 3 2 -bit randomized protocol can be achieved via continuous optimization techniques however these methods are fundamentally different from our combinatorial approach
beyond its metaphorical appeal the theory proposes measurable quantities and predictive parameters that may support
empirical
opinion dynamics
beyond its metaphorical appeal the theory proposes measurable quantities and predictive parameters that may support empirical diagnostics of sociopolitical dynamics
when conflicting images are presented to either
eye
visual rivalry
when conflicting images are presented to either eye binocular fusion is disrupted
the depth-resolved confocal raman spectroscopy revealed strongly enhanced raman signals on the nanostructured
surface
phonon polaritons
the depth-resolved confocal raman spectroscopy revealed strongly enhanced raman signals on the nanostructured surface suggesting the mode coupling between phonons and phonon-polaritons which was further confirmed by the finite element modeling of polarizability
we present the first dynamic algorithms for dyck and tree
edit
edit distance
we present the first dynamic algorithms for dyck and tree edit distances with subpolynomial update times
sensory representation is typically understood through a hierarchical-causal framework where progressively
abstract
abstract representations
sensory representation is typically understood through a hierarchical-causal framework where progressively abstract features are extracted sequentially
the analysis establishes high-probability
regret
debiased machine learning
the analysis establishes high-probability regret bounds determined by two interpretable quantities thereby providing a formal bridge between offline pre-training and online fine-tuning
laplace noise user interference while retaining competitive accuracy under
matched
signal processing
laplace noise user interference while retaining competitive accuracy under matched conditions
they experienced two levels of augmentation
density
augmentation density
they experienced two levels of augmentation density and either walked freely or with enforced speed and path guidance
by deriving the associated analytic and geometric jacobian matrices we then show the straightforward integration of our approach into classical
control
optimal control
by deriving the associated analytic and geometric jacobian matrices we then show the straightforward integration of our approach into classical control techniques rooted in operational space control