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these features suggest that the gas forming the cold front is flowing in the plane oriented along the los supporting an offset merger scenario in which the main
cluster
star clusters
these features suggest that the gas forming the cold front is flowing in the plane oriented along the los supporting an offset merger scenario in which the main cluster has passed in front of the subcluster and induced rotation of the core gas in the plane perpendicular to the sky
we provide sharp upper and lower bounds for the classical laplace estimator showing that it achieves optimal performance among estimators that do not rely on the
confidence
lower bounds
we provide sharp upper and lower bounds for the classical laplace estimator showing that it achieves optimal performance among estimators that do not rely on the confidence level
ztrs zero-imitation end-to-end autonomous
driving
wheel-to-wheel racing
ztrs zero-imitation end-to-end autonomous driving with trajectory scoring
our algorithm repeatedly samples an assignment uniformly at
random
randomized algorithm
our algorithm repeatedly samples an assignment uniformly at random until finding an assignment that satisfies a large enough fraction of clauses
this result shows that even under relaxed assumptions quantum
theory
open quantum
this result shows that even under relaxed assumptions quantum theory resists reconciliation with classical notions of absolute events reinforcing the foundational significance of wigner s friend-type paradoxes in timelike scenarios
our findings reveal that while current video models demonstrate promising reasoning
patterns
reasoning capabilities
our findings reveal that while current video models demonstrate promising reasoning patterns on short-horizon spatial coherence fine-grained grounding and locally consistent dynamics they remain limited in long-horizon causal reasoning strict geometric constraints and abstract logic
in this control algorithm each host vehicle negotiates with other agents in a control zone of the highway network and enacts its own action to perform
safe
collision avoidance
in this control algorithm each host vehicle negotiates with other agents in a control zone of the highway network and enacts its own action to perform safe and energy-efficient merge maneuvers
to bridge this gap we introduce texttt learn-to-ask a general simulator-free framework for learning and deploying proactive dialogue agents textit directly from offline expert data bypassing the need to model complex
user
persona simulation
to bridge this gap we introduce texttt learn-to-ask a general simulator-free framework for learning and deploying proactive dialogue agents textit directly from offline expert data bypassing the need to model complex user dynamics
we introduce multicolleagues a multi-agent conversational system that shows how ai
agents
human-ai interaction
we introduce multicolleagues a multi-agent conversational system that shows how ai agents can act as colleagues by conversing with each other sharing new ideas and actively involving users in collaborative ideation
cramér-rao bound optimization for movable antenna-empowered integrated
sensing
integrated sensing
cramér-rao bound optimization for movable antenna-empowered integrated sensing and uplink communication system
to mitigate hallucination in llms and enhance the
reliability
llm inference
to mitigate hallucination in llms and enhance the reliability of their outputs we integrate the rag technique which grounds the generated comments in domain-specific security knowledge
however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum
hardware
quantum error correction
however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational advantage in this area
graph approach for observability analysis in power system dynamic
state
state estimation
graph approach for observability analysis in power system dynamic state estimation
we introduce kimi linear a hybrid linear attention architecture that for the first time outperforms full attention under fair comparisons across various scenarios -- including short-context long-context and
reinforcement
reinforcement learning rl
we introduce kimi linear a hybrid linear attention architecture that for the first time outperforms full attention under fair comparisons across various scenarios -- including short-context long-context and reinforcement learning rl scaling regimes
structures that support various queries on an input text t in sigma n using
space
query complexity
structures that support various queries on an input text t in sigma n using space proportional to the size of t in compressed form
the modified pinn algorithm is able to steer itself to a reasonable
solution
neural networks
the modified pinn algorithm is able to steer itself to a reasonable solution and can generalize well with only a few training examples
we identify a robust broad component of lambda5008 emission indicating the presence of
ionized
vi emission
we identify a robust broad component of lambda5008 emission indicating the presence of ionized gas outflows
sketch2posenet efficient and generalized sketch to 3d human
pose
pose estimation
sketch2posenet efficient and generalized sketch to 3d human pose prediction
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 effects
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
these results confirm the effectiveness efficiency and
robustness
llm raters
these results confirm the effectiveness efficiency and robustness of our approach for low-resource domain adaptation of llms
we evaluate our approach using the vgg19 model on the imagenet-mini dataset and resnet101 on tiny-imagenet and real-world mmobile
wireless
wireless networks
we evaluate our approach using the vgg19 model on the imagenet-mini dataset and resnet101 on tiny-imagenet and real-world mmobile wireless channel datasets
importantly our method operates on probability
predictions
machine learning
importantly our method operates on probability predictions and event outcomes and does not require under-the-hood access to the machine learning model
furthermore these gradients can be combined with
cnn
convolutional neural
furthermore these gradients can be combined with cnn features to localize more generalizable task-specific attentive salient regions within scenes
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit
correlations
quantum channels
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum resources that are impossible if they can only use classical resources
results show that active ris yields higher spectral
efficiency
spectral efficiency
results show that active ris yields higher spectral efficiency se by eliminating the multiplicative fading inherent in passive riss and allocating more resources to data transmission
the residuals were then used to isolate non-rotating components of the
molecular
molecular gas
the residuals were then used to isolate non-rotating components of the molecular gas -- the most likely contributor to future smbh growth
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
debiased machine learning typically requires estimation of the
riesz
riesz representer
debiased machine learning typically requires estimation of the riesz representer and the regression function
the circumgalactic medium cgm is host to gas flows into and out of galaxies and regulates galaxy growth but the multiphase
diffuse
circumgalactic medium
the circumgalactic medium cgm is host to gas flows into and out of galaxies and regulates galaxy growth but the multiphase diffuse gas in this region is challenging to observe
combining the measured rates with epidemiological parameters established for sars-cov-2 yields the dynamics of change in
disease
disease transmission
combining the measured rates with epidemiological parameters established for sars-cov-2 yields the dynamics of change in disease transmission
spatial structure can play an important role in the evolution of cooperative behavior and the achievement of
collective
spatial structure
spatial structure can play an important role in the evolution of cooperative behavior and the achievement of collective success of a population
our main technical building block is a dynamic balanced binary search
tree
spanning trees
our main technical building block is a dynamic balanced binary search tree which we call the compressed tabulation-weighted treap that itself achieves a surprising time space tradeoff
this review highlights the critical role of beam shaping encompassing spatial
shaping
pulsed laser
this review highlights the critical role of beam shaping encompassing spatial shaping of the beam to influence laser-material interaction and temporal modification to optimize pulse duration and energy delivery
moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual
patterns
functional connectivity
moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual patterns and brain functions
such simulations -- for which classical methods are often inaccurate -- are critical to advancing our knowledge and understanding of
quantum
quantum materials
such simulations -- for which classical methods are often inaccurate -- are critical to advancing our knowledge and understanding of quantum chemistry and materials underpinning a wide range of fields from biochemistry to clean-energy technologies and chemical synthesis
occupations generated by four large language
models
language models
occupations generated by four large language models with different ai safety commitments and countries of origin u
using the transfer matrix formalism we derive general expressions for the dispersion relations of
surface
phonon polaritons
using the transfer matrix formalism we derive general expressions for the dispersion relations of surface polaritonic modes including the dependence on the bi-isotropic parameter and analyze their coupling to bulk magnon-polaritons
older adults valued features such as video demonstrations and reminders that made
activity
older adults
older adults valued features such as video demonstrations and reminders that made activity feel accessible and motivating yet some expressed frustration with manual logging and limited personalization
we derive the dual concave formulation with explicit
gradient
gradient descent
we derive the dual concave formulation with explicit gradient hessian and sensitivity expressions and provide two provably convergent solvers a damped dual newton method with global convergence and local quadratic rate and a kl-projection scheme based on iterative proportional fitting and bregman-dykstra projections
this paper develops a nonparametric framework to identify and estimate
distributional
nonparametric identification
this paper develops a nonparametric framework to identify and estimate distributional treatment effects under nonseparable endogeneity
empirical phylogenies typically show intermediate
imbalance
phylogenetic tree
empirical phylogenies typically show intermediate imbalance falling between perfectly balanced and highly skewed trees
with stesso it has been experimentally proven that n 1 -bit toffoli
gates
toffoli gates
with stesso it has been experimentally proven that n 1 -bit toffoli gates always have lower quantum costs than using conventional composition methods
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with
fmri
electroencephalography eeg
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
far from the shallow brain-predictive reasoning
embedding
abstract representations
far from the shallow brain-predictive reasoning embedding through residual disentanglement
high-resolution x-ray data are best suited for outflow s studies and the observed
absorption
absorption line
high-resolution x-ray data are best suited for outflow s studies and the observed absorption lines on heavy elements are evidence of the physical properties of an absorbing gas
while recent deep learning methods have achieved remarkable success in image
segmentation
multi-organ segmentation
while recent deep learning methods have achieved remarkable success in image segmentation huge variations in organ size and shape challenge their effectiveness in multi-organ segmentation
furthermore real-world experiments confirm that the robot can safely pass through narrow passages while maintaining rapid
planning
obstacle avoidance
furthermore real-world experiments confirm that the robot can safely pass through narrow passages while maintaining rapid planning performance
our results show that this approach significantly improves temporal reasoning and outperforms existing models in video question answering tasks specifically in
action
action recognition
our results show that this approach significantly improves temporal reasoning and outperforms existing models in video question answering tasks specifically in action recognition
unravelling the mechanisms of manipulating numbers in
language
language models
unravelling the mechanisms of manipulating numbers in language models
this fully demonstrates the advantages of this generative image
fusion
image fusion
this fully demonstrates the advantages of this generative image fusion method drawing inspiration from human cognition in enhancing structural consistency and detail quality
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging
visual
vision-language models vlms
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual reasoning scenarios
furthermore we find no evidence that the rejuvenating events are triggered by
tidal
tidal field
furthermore we find no evidence that the rejuvenating events are triggered by tidal interactions with neighbors
our framework offers a new lens for analyzing how both
biological
neural networks
our framework offers a new lens for analyzing how both biological and artificial neural systems learn complex features while maintaining robust information-rich representations of the world
free fall diffusion explosion and causal manual
actions
action recognition
free fall diffusion explosion and causal manual actions division addition that humans recognize almost instantly
our results herald the use of quantum computing for simulating strongly correlated electronic systems beyond the capacity of
classical
quantum technologies
our results herald the use of quantum computing for simulating strongly correlated electronic systems beyond the capacity of classical computing
n of a text t of length n encodes the lexicographic order of its suffixes and underlies numerous applications in
pattern
suffix array
n of a text t of length n encodes the lexicographic order of its suffixes and underlies numerous applications in pattern matching data compression and bioinformatics
results human evaluation with substantial
inter-rater
findings highlight
results human evaluation with substantial inter-rater agreement gwe s ac1 0
the advent of large language models llms has revolutionized natural language processing yet their application in high-stakes specialized domains like religious question
answering
question answering
the advent of large language models llms has revolutionized natural language processing yet their application in high-stakes specialized domains like religious question answering is hindered by challenges like hallucination and unfaithfulness to authoritative sources
the empirical orlicz norm based on a random sample is defined as a natural estimator of the orlicz
norm
orlicz norm
the empirical orlicz norm based on a random sample is defined as a natural estimator of the orlicz norm of a univariate probability distribution
during massive star formation dense gas undergoes chemical evolution producing both simple and complex organic molecules coms characteristic of hot
molecular
molecular gas
during massive star formation dense gas undergoes chemical evolution producing both simple and complex organic molecules coms characteristic of hot molecular cores
this paper presents a novel approach to stochastic economic model
predictive
predictive control
this paper presents a novel approach to stochastic economic model predictive control sempc that minimizes average economic cost while satisfying an empirical expected shortfall ees constraint to manage risk
our framework offers a new lens for analyzing how both
biological
artificial intelligence
our framework offers a new lens for analyzing how both biological and artificial neural systems learn complex features while maintaining robust information-rich representations of the world
we propose that these early bulge-disk galaxies represent progenitors of massive star-forming and
quiescent
bulge stars
we propose that these early bulge-disk galaxies represent progenitors of massive star-forming and quiescent systems observed at lower redshifts
across diverse evaluation agent settings our seed
test
evaluation metrics
across diverse evaluation agent settings our seed test case generation approach yields 2 -- 2
these results demonstrate that spiral density waves can persist in fully cosmological disks linking internal dynamical processes to galaxy
assembly
quiescent galaxies
these results demonstrate that spiral density waves can persist in fully cosmological disks linking internal dynamical processes to galaxy assembly and offering testable predictions for present and future surveys such as jwst and roman
solving this problem to global optimality is challenging due to ac power flow and nn nonconvexities so our approach exploits a convex relaxation of the ac physics combined with a local nn search to find a guaranteed lower bound on worst--case
load
load shedding
solving this problem to global optimality is challenging due to ac power flow and nn nonconvexities so our approach exploits a convex relaxation of the ac physics combined with a local nn search to find a guaranteed lower bound on worst--case load shedding
to address these challenges we study the offline clustering of
preference
preference learning
to address these challenges we study the offline clustering of preference learning problem where the learner has access to fixed datasets from multiple users with potentially different preferences and aims to maximize utility for a test user
treatment is assigned to an observed type if and only if its
cate
treatment assignment
treatment is assigned to an observed type if and only if its cate is nonnegative
self diffraction is a four-wave mixing process proportional to the square modulus of third-order
nonlinearity
nonlinear optical
self diffraction is a four-wave mixing process proportional to the square modulus of third-order nonlinearity susceptibility chi 3 which is related to the material s electronic and thermal properties
shortcuts spurious rules that perform well during
training
continual learning
shortcuts spurious rules that perform well during training but fail to generalize present a major challenge to the reliability of deep networks geirhos et al
nonetheless despite the potential of such tools for
linguistic
multilingual data
nonetheless despite the potential of such tools for linguistic research comprehensive evaluation of their performance and impact on the creation of annotated datasets especially under a perspectivized approach to nlp is still missing
we introduce see4d a pose-free trajectory-to-camera framework that replaces explicit trajectory prediction with rendering to a bank of fixed virtual cameras thereby separating
camera
point tracking
we introduce see4d a pose-free trajectory-to-camera framework that replaces explicit trajectory prediction with rendering to a bank of fixed virtual cameras thereby separating camera control from scene modeling
here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform demonstrating entanglement superactivation phenomena which are unique to
multipartite
entanglement entropy
here we develop a tripartite entanglement distillation scheme using an eight-photon quantum platform demonstrating entanglement superactivation phenomena which are unique to multipartite systems
the era of agentic organization learning to organize with
language
llm agents
the era of agentic organization learning to organize with language models
inspired by arcing current curve and the fourier decomposition analysis we create an adaptive activation function with super-expressiveness termed eas and a novel
network
deep learning
inspired by arcing current curve and the fourier decomposition analysis we create an adaptive activation function with super-expressiveness termed eas and a novel network architecture with branch networks to help mfnn extract features with multiple frequencies
we demonstrate our system s ability to generate valid large-scale
navigation
visual navigation
we demonstrate our system s ability to generate valid large-scale navigation graphs from real-world data
gepoc abm generic population concept -- agent-based model
version
gepoc abm
gepoc abm generic population concept -- agent-based model version 2
here we propose a mechanistic and parsimonious interpretation to complement these ideas hippocampal sequences arise from intrinsic
recurrent
recurrent neural
here we propose a mechanistic and parsimonious interpretation to complement these ideas hippocampal sequences arise from intrinsic recurrent circuitry that propagates activity without readily available input acting as a temporal memory buffer for extremely sparse inputs
acer first synthesizes a comprehensive textbook-style
curriculum
reasoning curriculum
acer first synthesizes a comprehensive textbook-style curriculum by generating a table of contents for a subject and then creating question-answer qa pairs guided by bloom s taxonomy
despite significant advancements in recent decades
autonomous
autonomous driving
despite significant advancements in recent decades autonomous vehicles avs continue to face challenges in navigating certain traffic scenarios where human drivers excel
here we harness these capabilities in twisted bilayer moire
photonic
photonic devices
here we harness these capabilities in twisted bilayer moire photonic crystals tbmpcs to realize vortex array generation with tunable oam demonstrated both analytically and experimentally
our findings reveal that both the fermi level and the bi-isotropic response offer independent and complementary control parameters for tuning the strength of light--magnon coupling in ti afm heterostructures with potential implications for reconfigurable thz spintronic and
photonic
photonic devices
our findings reveal that both the fermi level and the bi-isotropic response offer independent and complementary control parameters for tuning the strength of light--magnon coupling in ti afm heterostructures with potential implications for reconfigurable thz spintronic and photonic devices
radiative local density of states in three-dimensional
photonic
photonic crystal
radiative local density of states in three-dimensional photonic band-gap crystals to interpret time-resolved emission
we could then identify patterns of similar trajectories of
cognitive
cognitive science
we could then identify patterns of similar trajectories of cognitive decline and also highlight the potential problem of a large heterogeneity of the profiles maybe due to the final endpoint considered
our approach is built upon a library of single-arm and bimanual primitive skills each trained using reinforcement
learning
reinforcement learning
our approach is built upon a library of single-arm and bimanual primitive skills each trained using reinforcement learning rl in gpu-accelerated simulation
this approach opens the way to the use of partial intercalation to define regions with distinct
magnetic
magnetic anisotropy
this approach opens the way to the use of partial intercalation to define regions with distinct magnetic properties within a single flake
a two-step approach originally introduced for network reconstruction in which one first randomizes the structure then the weights with a suitable distribution restores scale invariance and allows us to conduct unbiased assessments of significance on
weighted
complex networks
a two-step approach originally introduced for network reconstruction in which one first randomizes the structure then the weights with a suitable distribution restores scale invariance and allows us to conduct unbiased assessments of significance on weighted networks
we study an optimal control problem for the stochastic wave equation driven by affine multiplicative noise formulated as a
stochastic
optimal control
we study an optimal control problem for the stochastic wave equation driven by affine multiplicative noise formulated as a stochastic linear-quadratic slq problem
by examining the challenges in data-efficient llm
post-training
llm post-training
by examining the challenges in data-efficient llm post-training we highlight open problems and propose potential research avenues
to this end we propose a novel paradigm to effectively fuse the
features
feature extraction
to this end we propose a novel paradigm to effectively fuse the features extracted by different backbones based on the theory of evidence
aiming for biological plausibility each network has a
small
mutual information
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
additionally we consider emerging modalities such as audio and egocentric
video
computer vision
additionally we consider emerging modalities such as audio and egocentric video which contribute to novel spatial understanding through new sensors
we demonstrate low-noise kerr soliton frequency
combs
frequency combs
we demonstrate low-noise kerr soliton frequency combs with repetition rates below 1 ghz in ultrahigh-q crystalline magnesium fluoride resonators
notably under a similar performance guarantee as in our
tree
tree embedding
notably under a similar performance guarantee as in our tree embedding algorithms i
the realization of this vision critically depends on developing advanced receiver architectures that merge nanoscale
communication
wireless systems
the realization of this vision critically depends on developing advanced receiver architectures that merge nanoscale communication and networking techniques with bio-cyber interfaces ensuring energy-efficient reliable and low-complexity modulation and detection while maintaining biocompatibility
here an implementation of the unidirectional pulse propagation equation that supports automatic differentiation is combined with gradient-based optimization to design structured pulses with features that are advantageous for a range of nonlinear optical and plasma-based applications 1 a longitudinally uniform intensity...
laser
pulsed laser
here an implementation of the unidirectional pulse propagation equation that supports automatic differentiation is combined with gradient-based optimization to design structured pulses with features that are advantageous for a range of nonlinear optical and plasma-based applications 1 a longitudinally uniform intensity...
these data provide important constraints for chemodynamical models of massive
protostellar
interstellar medium
these data provide important constraints for chemodynamical models of massive protostellar cores
contribution of task-irrelevant stimuli to
drift
working memory
contribution of task-irrelevant stimuli to drift of neural representations
in the limited cases where ground truth is available through exact classical
simulation
classical simulation
in the limited cases where ground truth is available through exact classical simulation we find that it agrees with the results we obtain from the quantum device
spatial mode sorting has come to prominence as an optical processing modality capable of saturating
fundamental
waveguide modes
spatial mode sorting has come to prominence as an optical processing modality capable of saturating fundamental limits to numerous sensing tasks including wavefront sensing coronagraphy and superresolution imaging