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102 250501 2009 proved that all entangled
states
open quantum
102 250501 2009 proved that all entangled states are useful for discrimination of quantum channels
taking the u-net connectivity as a base of our framework we evaluate and compare several approaches to improve the segmentation model s architecture and training pipeline including pre-processing techniques encoder backbone
deep
deep network
taking the u-net connectivity as a base of our framework we evaluate and compare several approaches to improve the segmentation model s architecture and training pipeline including pre-processing techniques encoder backbone deep network types of varying complexity and specialized loss functions to mitigate class imbala...
these results deepen the understanding of adaptive decision-making in spatial ecology linking cognitive complexity to
ecosystem
environmental change
these results deepen the understanding of adaptive decision-making in spatial ecology linking cognitive complexity to ecosystem resilience and extinction risk
we present the first such improvement a k -mismatch index with o n log k-1 n space and the same
query
-errata trees
we present the first such improvement a k -mismatch index with o n log k-1 n space and the same query time as k -errata trees
reliable estimation of macro and micro traffic states is essential for urban
traffic
traffic states
reliable estimation of macro and micro traffic states is essential for urban traffic management
remarkably however we show that if the system is stabilizable then using this as prior knowledge leads to necessary and sufficient conditions that are weaker than those for data-driven stabilization without
prior
prior knowledge
remarkably however we show that if the system is stabilizable then using this as prior knowledge leads to necessary and sufficient conditions that are weaker than those for data-driven stabilization without prior knowledge
drivers of variation in the optimal spatial structure of
collective
collective systems
drivers of variation in the optimal spatial structure of collective information gatherers
to each gonosomic algebra an evolution operator noted w is associated that gives the state of the offspring population at the
birth
gonosomic algebras
to each gonosomic algebra an evolution operator noted w is associated that gives the state of the offspring population at the birth stage
pursuing decarbonization and competitiveness a narrow corridor for european
green
green finance
pursuing decarbonization and competitiveness a narrow corridor for european green industrial transformation
conclusion an ensemble of medium to large sized open-source llms provides a more consistent and reliable method to derive a ground truth retrospective evaluation of a clinical
ai
llm inference
conclusion an ensemble of medium to large sized open-source llms provides a more consistent and reliable method to derive a ground truth retrospective evaluation of a clinical ai triage tool over a single llm alone
we provide an algorithm that finds a 1 epsilon -approximate solution to this problem using o d 1 3 epsilon 1 epsilon 2 log n
epsilon
approximation ratio
we provide an algorithm that finds a 1 epsilon -approximate solution to this problem using o d 1 3 epsilon 1 epsilon 2 log n epsilon linear system solves
more importantly the thinking structure in this protocol can be further optimized through
reinforcement
reinforcement learning rl
more importantly the thinking structure in this protocol can be further optimized through reinforcement learning
this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic
debiased
debiased machine learning
this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased machine learning
conclusion an ensemble of medium to large sized open-source llms provides a more consistent and reliable method to derive a ground truth retrospective evaluation of a clinical ai
triage
triage tool
conclusion an ensemble of medium to large sized open-source llms provides a more consistent and reliable method to derive a ground truth retrospective evaluation of a clinical ai triage tool over a single llm alone
recently machine learning ml models mostly based on the application of large
language
language models
recently machine learning ml models mostly based on the application of large language models to sequence information have been developed to predict antibody properties
however most existing llms and their benchmarks focus primarily on the knowledge dimension largely neglecting the evaluation of cultivation
capabilities
llm post-training
however most existing llms and their benchmarks focus primarily on the knowledge dimension largely neglecting the evaluation of cultivation capabilities that are essential for real-world educational scenarios
first an equivalence between klyachko-can-binicio u g lu-shumovsky kcbs vectors and the pyramid upb is shown and then by constructing a one parameter family of upb vectors a quantitative connection between contextuality strength and bound entanglement of
states
multipartite entanglement
first an equivalence between klyachko-can-binicio u g lu-shumovsky kcbs vectors and the pyramid upb is shown and then by constructing a one parameter family of upb vectors a quantitative connection between contextuality strength and bound entanglement of states associated with the corresponding upb is demonstrated
their structural configuration as well as on the presence and nature of
atomic
atomic force microscopy
their structural configuration as well as on the presence and nature of atomic defects
a control strategy developed within this framework governs energy
flow
power flow
a control strategy developed within this framework governs energy flow across the powertrain enabling accurate speed control via armature voltage regulation
this mechanism captures for example scenarios in social or
political
opinion dynamics
this mechanism captures for example scenarios in social or political systems where a dominant viewpoint on one issue e
convergence results and convergence rate estimates in these nonlinear
settings
point convergence
convergence results and convergence rate estimates in these nonlinear settings are already well established
we propose the first known computationally tractable
algorithm
gradient descent
we propose the first known computationally tractable algorithm for computing the solution to the graves-lai optimization problem which in turn enables the implementation of asymptotically optimal algorithms for this bandit problem
our framework provides a tractable model for exploring autonomy and
evolution
evolutionary dynamics
our framework provides a tractable model for exploring autonomy and evolution in alife
numerical experiments validate the efficiency and multiple robustness of our
proposed
numerical experiments
numerical experiments validate the efficiency and multiple robustness of our proposed methods
numerical simulations calibrated to djiboutian covid 19 data show that combined preventive and therapeutic interventions substantially mitigate epidemic burden though their effectiveness depends critically on
transmission
disease transmission
numerical simulations calibrated to djiboutian covid 19 data show that combined preventive and therapeutic interventions substantially mitigate epidemic burden though their effectiveness depends critically on transmission related uncertainties
we revisit the problem of parameter estimation for
discrete
discrete distributions
we revisit the problem of parameter estimation for discrete probability distributions with values in mathbb z d
this paper proposes a debiased estimator for
causal
causal effects
this paper proposes a debiased estimator for causal effects in high-dimensional generalized linear models with binary outcomes and general link functions
this tension points to the need for a more systematic study of how number influences
collective
social interactions
this tension points to the need for a more systematic study of how number influences collective behavior
a central concern in both sections is the large variability present in electrophysiological
recordings
electroencephalography eeg
a central concern in both sections is the large variability present in electrophysiological recordings whether it be within-subject or between-subject variability and to a certain extent between-dataset variability
in this work we propose cola-world which for the first time successfully realizes this synergistic
paradigm
federated learning
in this work we propose cola-world which for the first time successfully realizes this synergistic paradigm resolving the core challenge in joint learning through a critical warm-up phase that effectively aligns the representations of the from-scratch lam with the pre-trained world model
despite significant advances in multimodal large
language
large language
despite significant advances in multimodal large language models mllms understanding complex temporal dynamics in videos remains a major challenge
our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium
abundance
stellar mass function
our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium abundance with the option of a saturation of the yields at high metallicity
additionally they imply an m 1 o 1 w -time algorithm for solving the problem on graphs with a given
tree
spanning trees
additionally they imply an m 1 o 1 w -time algorithm for solving the problem on graphs with a given tree decomposition of width w
echo-conditioned denoising diffusion probabilistic
models
channel estimation
echo-conditioned denoising diffusion probabilistic models for multi-target tracking in rf sensing
we also show that looplm yields reasoning
traces
thinking traces
we also show that looplm yields reasoning traces more aligned with final outputs than explicit cot
multi-agent path finding mapf has gained significant attention with most research focusing on minimizing
collisions
collision avoidance
multi-agent path finding mapf has gained significant attention with most research focusing on minimizing collisions and travel time
the depth of the observational data used here enables us to
construct
milky way
the depth of the observational data used here enables us to construct complete unbiased samples of galaxies down to mstar 10 7 msun and out to z 0
we provide efficient algorithms and np-hardness results for different values of
delta
regular graphs
we provide efficient algorithms and np-hardness results for different values of delta and maximum habitat sizes on general and planar graphs
we note that all the main predictions on galaxy quenched fractions and smbh growth histories and scaling relations are degenerate with those expected in a halo
quenching
massive galaxies
we note that all the main predictions on galaxy quenched fractions and smbh growth histories and scaling relations are degenerate with those expected in a halo quenching model
in this paper we propose adasdbo a fully problem-parameter-free algorithm for decentralized bilevel
optimization
bilevel optimization
in this paper we propose adasdbo a fully problem-parameter-free algorithm for decentralized bilevel optimization with a single-loop structure
we investigate the relationship between disc winds radio jets accretion rates and black hole masses of a sample of sim 100k
quasars
black hole
we investigate the relationship between disc winds radio jets accretion rates and black hole masses of a sample of sim 100k quasars at z approx 2
we investigate a process of growth of a signed network that strictly adheres to heider
structural
complex networks
we investigate a process of growth of a signed network that strictly adheres to heider structural balance rules resulting in two opposing growing factions
the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an
algorithm
quantum key distribution
the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an algorithm with a tight query complexity for another problem
the model naturally accepts interleaved vision-language inputs and generates
interleaved
video generation
the model naturally accepts interleaved vision-language inputs and generates interleaved vision-language outputs
while current models show promise it remains an open
question
neural representations
while current models show promise it remains an open question whether this alignment is superficial or reflects a deeper correspondence in the underlying dimensions of representation
this work theoretically investigates possibilities of using the stimulated raman adiabatic passage stirap and its variants to control a coherent superposition of
quantum
quantum technologies
this work theoretically investigates possibilities of using the stimulated raman adiabatic passage stirap and its variants to control a coherent superposition of quantum states
the effects of time since fire on bird community composition in chaparral
ecosystems
ecological communities
the effects of time since fire on bird community composition in chaparral ecosystems across los angeles county
only if the right local model minimizer is used the p q-1 th-order local
convergence
local convergence
only if the right local model minimizer is used the p q-1 th-order local convergence from the non-adaptive case is preserved for p q-1 otherwise the superlinear rate can degrade
by mapping the system onto a gas of non-interacting spin-1 2 particles we derive exact
analytical
quantum walk
by mapping the system onto a gas of non-interacting spin-1 2 particles we derive exact analytical results for the dynamics with different initial states
rather than discrete treatment parameters the framework characterizes treatment intensity as continuous functions tau mathbf x t over space-time enabling rigorous analysis of boundary evolution
spatial
treatment effect boundaries
rather than discrete treatment parameters the framework characterizes treatment intensity as continuous functions tau mathbf x t over space-time enabling rigorous analysis of boundary evolution spatial gradients and cumulative exposure
the depth of the observational data used here enables us to construct complete unbiased samples of galaxies down to mstar 10 7
msun
dark matter
the depth of the observational data used here enables us to construct complete unbiased samples of galaxies down to mstar 10 7 msun and out to z 0
efficient collision-avoidance constraints for ellipsoidal
obstacles
collision avoidance
efficient collision-avoidance constraints for ellipsoidal obstacles in optimal control application to path-following mpc and uavs
this work introduces steervlm a lightweight
steering
angular steering
this work introduces steervlm a lightweight steering module designed to guide vision-language models vlms towards outputs that better adhere to desired instructions
this study not only enriches the theoretical framework of
evolutionary
evolutionary game
this study not only enriches the theoretical framework of evolutionary game theory but also provides a foundation for the management of ecological systems and the design of cooperative mechanisms in society
from the formation of ice in small clusters of water molecules to the mass raids of army ant colonies the emergent
behavior
collective systems
from the formation of ice in small clusters of water molecules to the mass raids of army ant colonies the emergent behavior of collectives depends critically on their size
we introduce a new analytical framework for modelling
degree
degree distributions
we introduce a new analytical framework for modelling degree sequences in individual communities of real-world networks e
counterintuitively we find that extreme antagonism effects might backfire in presidential election when both parties adopt intense antagonistic strategies the party that polarizes more strongly risks alienating swing
voters
swing voters
counterintuitively we find that extreme antagonism effects might backfire in presidential election when both parties adopt intense antagonistic strategies the party that polarizes more strongly risks alienating swing voters thereby enabling its ostensibly weaker opponent to prevail
a novel geometric deep network is used to propose an ensemble
deep
deep network
a novel geometric deep network is used to propose an ensemble deep network
in this work we propose missynth a pipeline that applies retrieval-augmented generation rag to produce synthetic fallacy samples which are then used to fine-tune an
llm
large language models llms
in this work we propose missynth a pipeline that applies retrieval-augmented generation rag to produce synthetic fallacy samples which are then used to fine-tune an llm model
the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual
encoder
encoder network
the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual encoder network
using score matching within a corresponding diffusion model we obtain an estimator of the bayesian
posterior
approximate posterior
using score matching within a corresponding diffusion model we obtain an estimator of the bayesian posterior mathbb p x mid y in this setup
we show that the truncated random return can be naturally expressed in the
quadratic
truncated random
we show that the truncated random return can be naturally expressed in the quadratic form
further they make restrictive assumptions on the concepts a model learns such as class-specificity small spatial extent or
alignment
world models
further they make restrictive assumptions on the concepts a model learns such as class-specificity small spatial extent or alignment to human expectations
we design a deterministic algorithm that given n points in a emph typical constant
degree
-approximation algorithm
we design a deterministic algorithm that given n points in a emph typical constant degree regular graph queries o n distances to output a constant factor approximation to the average distance among those points thus answering a question posed in cite mn14
when the resulting posteriors are used as domain distributions for sim-based
policy
reinforcement learning
when the resulting posteriors are used as domain distributions for sim-based policy learning they lead to more robust object-centric agent performance
therefore the spin-momentum locking differs among the three
spin
spin-momentum locking
therefore the spin-momentum locking differs among the three spin components sx sy and sz forming the relativistic spin-momentum locking
in this chapter we relate the general definition of accountability to ai we illustrate what it means for ai to be accountable and unaccountable and we explore approaches that can
improve
ai assistance
in this chapter we relate the general definition of accountability to ai we illustrate what it means for ai to be accountable and unaccountable and we explore approaches that can improve our chances of living in a world where all ai is accountable to those who are affected by it
we adapt the degree-based mean-field dbmf sir model for single-layered complex networks to the multiplex setting where each layer has its own
degree
degree distributions
we adapt the degree-based mean-field dbmf sir model for single-layered complex networks to the multiplex setting where each layer has its own degree distribution and infection rate
5 spectroscopically-confirmed quiescent galaxies in the uds and egs fields at 3 z 5 with nirspec prism spectroscopy from rubies and other public jwst
nirspec
galaxy cgm
5 spectroscopically-confirmed quiescent galaxies in the uds and egs fields at 3 z 5 with nirspec prism spectroscopy from rubies and other public jwst nirspec programs
these results highlight a fundamental gap in current
multimodal
multimodal reasoning
these results highlight a fundamental gap in current multimodal systems while they capture rich visual-semantic correlations they lack the inductive biases required for temporal continuity and causal understanding
the real-world experiment shows that the pi0 policy with our strategy achieves a 100 success rate in
grasping
robotic manipulation
the real-world experiment shows that the pi0 policy with our strategy achieves a 100 success rate in grasping a falling pen task
we found that when evaluating identical responses to the same scenario users showed low agreement with each other on the privacy-preservation quality and helpfulness of the
llm
llm responses
we found that when evaluating identical responses to the same scenario users showed low agreement with each other on the privacy-preservation quality and helpfulness of the llm response
exogenous processes -- that affect the individual and are not derived from
social
social interactions
exogenous processes -- that affect the individual and are not derived from social interactions -- even if unbiased have a role in supporting cooperation over defection and this role has been largely overlooked in the context of network-based interactions
a vector space of finite dimensions using pre-trained
basis
image classification
a vector space of finite dimensions using pre-trained basis functions
the test statistic is constructed by applying separate adjustments to the restricted and unrestricted
criterion
test statistics
the test statistic is constructed by applying separate adjustments to the restricted and unrestricted criterion functions and is shown to be asymptotically pivotal under minimal conditions
dif ferent from conventional two- three-dimensional 2d 3d ckm approaches assuming fixed base station configurations we present a six-dimensional 6d ckm framework named bidirectional wireless gaussian splatting biwgs which is capable of mod eling
wireless
wireless communication
dif ferent from conventional two- three-dimensional 2d 3d ckm approaches assuming fixed base station configurations we present a six-dimensional 6d ckm framework named bidirectional wireless gaussian splatting biwgs which is capable of mod eling wireless channels across dynamic transmitter tx and receiver rx positions ...
stochastic dynamics of urban predator-prey systems integrating human disturbance and
functional
stochastic differential
stochastic dynamics of urban predator-prey systems integrating human disturbance and functional responses
however dsa does not consider how inputs affect the dynamics meaning that two similar systems if
driven
dynamical systems
however dsa does not consider how inputs affect the dynamics meaning that two similar systems if driven differently may be classified as different
dynamic beamforming and power allocation in isac via deep
reinforcement
power allocation
dynamic beamforming and power allocation in isac via deep reinforcement learning
conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system
stability
optimal control
conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system stability under rapid renewable variations
using a statistically significant sample of
milky
galactic disk
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
text embedded in natural images such as signs product labels and storefronts often carries the most actionable information when characters are blurred or hallucinated optical character
recognition
computer vision
text embedded in natural images such as signs product labels and storefronts often carries the most actionable information when characters are blurred or hallucinated optical character recognition ocr and subsequent decisions fail even if the rest of the image appears sharp
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum
computing
quantum batteries
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum computing particularly for noisy intermediate-scale quantum nisq devices where circuit efficiency and resilience to errors are paramount
as an application we determine optimal solutions of both the primal and the dual problem using this duality in the case of quantum bits and distinguished cost operators with certain restrictions on the
states
multipartite entanglement
as an application we determine optimal solutions of both the primal and the dual problem using this duality in the case of quantum bits and distinguished cost operators with certain restrictions on the states involved
this paper presents a carbon-aware optimal power
flow
power flow
this paper presents a carbon-aware optimal power flow opf framework that incorporates data-driven carbon tracing enabling rapid estimation of nodal carbon emissions from electric loads
separating the what and how of compositional computation to enable reuse and
continual
continual learning
separating the what and how of compositional computation to enable reuse and continual learning
stable and scalable implementations are provided using logsumexp
stabilization
data-driven stabilization
stable and scalable implementations are provided using logsumexp stabilization covariance regularization and half-space kl projections
the presence of interictal epileptiform discharges ieds in electroencephalogram
eeg
electroencephalography eeg
the presence of interictal epileptiform discharges ieds in electroencephalogram eeg recordings is a critical biomarker of epilepsy
we extend the algorithm to generate edge-exchange gray codes for general graphs with n vertices achieving o n 2 time per
tree
tree embedding
we extend the algorithm to generate edge-exchange gray codes for general graphs with n vertices achieving o n 2 time per tree using o n 2 space
we show that this ranking holds if and only if the less informative experiment is a linear transformation of the more informative experiment equivalently the null space of the more informative experiment is a subset of the null space of the less
informative
randomized experiments
we show that this ranking holds if and only if the less informative experiment is a linear transformation of the more informative experiment equivalently the null space of the more informative experiment is a subset of the null space of the less informative experiment
based on the similarity transformations of these cooperative
geometric
geometric primitives
based on the similarity transformations of these cooperative geometric primitives we derive an abstraction of complex robotic systems that enables representing these systems in a way that directly corresponds to single-arm systems
this study proposes to quantify the structural modifications implied by the disruption of single elements in a transportation network through the
gromov-wasserstein
network structures
this study proposes to quantify the structural modifications implied by the disruption of single elements in a transportation network through the gromov-wasserstein distance
results also show robust performance in ambiguous or cluttered scenes due to the synergistic
fusion
multimodal reasoning
results also show robust performance in ambiguous or cluttered scenes due to the synergistic fusion of vision and language
artificial intelligence systems based on large
language
large language
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
this requirement is tightly linked to how rapidly the
channel
channel estimation
this requirement is tightly linked to how rapidly the channel gains vary i
in general stars with all metallicities support a
boxy
bulge stars
in general stars with all metallicities support a boxy profile
these paradoxes highlight the tension between quantum
theory
quantum mechanics
these paradoxes highlight the tension between quantum theory and our intuitions about reality being observer-independent
we develop estimators for the minimum distance with corresponding statistical
guarantees
theoretical guarantees
we develop estimators for the minimum distance with corresponding statistical guarantees provided by asymptotic theory and demonstrate the applicability of our approach by means of a simulation study and a real data example
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
policy 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
using fourier spectroscopy we carefully select wave vectors in the 2d plane of periodicity of the
photonic
photonic circuits
using fourier spectroscopy we carefully select wave vectors in the 2d plane of periodicity of the photonic crystal