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the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and robust structures in neuronal dynamics leading to novel predictions about the neural
computations
recurrent neural networks
the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and robust structures in neuronal dynamics leading to novel predictions about the neural computations underlying behavior
riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where
riesz
riesz regression
riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where riesz regression is essentially equivalent to dre in the ate context the matching estimator is a special case of dre and dre is in a dual relationship with covariate balancing
adaptive inverse kinematics framework for learning variable-length tool
manipulation
robotic systems
adaptive inverse kinematics framework for learning variable-length tool manipulation in robotics
however these models often lack transparency and explainability can be costly to fine-tune require
substantial
open-source models
however these models often lack transparency and explainability can be costly to fine-tune require substantial prompt engineering yield inconsistent results across domains and impose significant adverse environmental impact due to their high computational demands
the quantum dynamics of the two spins reveal entanglement resonances and kinks which can be identified from the
energy
entanglement entropy
the quantum dynamics of the two spins reveal entanglement resonances and kinks which can be identified from the energy spectrum when weak transverse field strengths are considered
we describe cim phase transitions between recoverability and non-recoverability of the
hidden
phase transitions
we describe cim phase transitions between recoverability and non-recoverability of the hidden solution
in this paper we introduce gonosomic algebras to algebraically translate the phenomenon of
genetic
gonosomic algebras
in this paper we introduce gonosomic algebras to algebraically translate the phenomenon of genetic sterility
many existing genuine multipartite entanglement gme witnesses for continuous-variable cv quantum systems typically rely on quadrature measurements which is challenging to implement in platforms where the cv degrees of freedom can be indirectly accessed only through
qubit
quantum correlations
many existing genuine multipartite entanglement gme witnesses for continuous-variable cv quantum systems typically rely on quadrature measurements which is challenging to implement in platforms where the cv degrees of freedom can be indirectly accessed only through qubit readouts
collective action against algorithmic systems which enables
groups
collective action
collective action against algorithmic systems which enables groups to promote their own interests is poised to grow
using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing
viral
viral replication
using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing viral replication as a birth-death process
cole gottlieb and lewenstein stoc 2004 proposed k -errata trees a family of text indexes supporting approximate
pattern
pattern matching
cole gottlieb and lewenstein stoc 2004 proposed k -errata trees a family of text indexes supporting approximate pattern matching queries of several types
recent advances in data collection and technology enable a deeper understanding of complex
urban
traffic dynamics
recent advances in data collection and technology enable a deeper understanding of complex urban commuting yet few studies have rigorously analyzed the temporal stability and origin-destination od heterogeneity of route choice
spatial-kinematic absorption models of the
circumgalactic
interstellar medium
spatial-kinematic absorption models of the circumgalactic medium
we develop a general framework that reduces solving maximum flow with arbitrary capacities to 1 solving a sequence of maximum
flow
maximum flow
we develop a general framework that reduces solving maximum flow with arbitrary capacities to 1 solving a sequence of maximum flow problems with polynomial bounded capacities and 2 dynamically maintaining a size-bounded supersets of the transitive closure under arc additions we call this problem emph incremental transitive cover
we develop a radon-like algorithm incorporating the
electron
quantum dot
we develop a radon-like algorithm incorporating the electron wave-nature and the time dependency of its interaction with vector fields
these abstract representations reflect the structure of the desired outputs or the
semantics
encoding models
these abstract representations reflect the structure of the desired outputs or the semantics of the input stimuli
since the gradient of the objective function is inaccessible as a result of the unknown distribution various
zeroth-order
zeroth-order methods
since the gradient of the objective function is inaccessible as a result of the unknown distribution various zeroth-order methods have been developed to solve the problem
moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a
ferrimagnetic
magnetic anisotropy
moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a ferrimagnetic response
5 nm schottky contacts that ultimately enabled
breakdown
breakdown voltage
5 nm schottky contacts that ultimately enabled breakdown voltage of 3
this geometric perspective is taken further in an extended appendix where we introduce the rudiments of
brownian
brownian motion
this geometric perspective is taken further in an extended appendix where we introduce the rudiments of brownian motion and the corresponding stochastic calculus culminating in it o s celebrated change-of-variables formula
stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different
galactic
star formation
stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different galactic components
to this end we introduce a new dataset covering a wide range of formal patterns of reasoning in both
normative
normative reasoning
to this end we introduce a new dataset covering a wide range of formal patterns of reasoning in both normative and epistemic domains while also incorporating non-formal cognitive factors that influence human reasoning
it further decomposes the evaluation of llm performance into six
fundamental
llm raters
it further decomposes the evaluation of llm performance into six fundamental capabilities including opinion consistency memory recall logical reasoning lexical fidelity persona tone and syntactic style
it not only provides a more quality foundational network framework for network research but also serve as the brand
new
network structures
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
the dc conductivity results reveal a two orders of magnitude enhancement of
ionic
ionic conduction
the dc conductivity results reveal a two orders of magnitude enhancement of ionic conductivity from 3
we study a variational framework formulated as an optimization problem over the pairs of components using two regularization terms each of them
acting
optimization problem
we study a variational framework formulated as an optimization problem over the pairs of components using two regularization terms each of them acting on a different part of the solution
through the judge s eyes inferred thinking
traces
thinking traces
through the judge s eyes inferred thinking traces improve reliability of llm raters
while this approach has advantages such as independence from appearance the
existing
existing approaches
while this approach has advantages such as independence from appearance the existing methods may break down under real-world conditions
to realize this vision we introduce asynchronous thinking asyncthink as a new paradigm of
reasoning
reasoning curriculum
to realize this vision we introduce asynchronous thinking asyncthink as a new paradigm of reasoning with large language models which organizes the internal thinking process into concurrently executable structures
specifically we first analyze the trajectory of the airy beam and the
beam
beam pattern
specifically we first analyze the trajectory of the airy beam and the beam pattern at the receiver using a discrete fourier transform dft codebook in the presence of obstacles
our results reveal temporal stability in aggregate route choice behavior across the entire
urban
urban systems
our results reveal temporal stability in aggregate route choice behavior across the entire urban region throughout 2023
leveraging the expressive power of ai models and large-scale brain data surrogate brains open a new window for decoding neural systems and
forecasting
predictive processing
leveraging the expressive power of ai models and large-scale brain data surrogate brains open a new window for decoding neural systems and forecasting complex dynamics with high dimensionality nonlinearity and adaptability
our approach iteratively refines 3d gaussian parameters and updates camera poses through a novel co-optimization strategy ensuring simultaneous improvements in scene reconstruction fidelity and
pose
pose estimation
our approach iteratively refines 3d gaussian parameters and updates camera poses through a novel co-optimization strategy ensuring simultaneous improvements in scene reconstruction fidelity and pose accuracy
certification and classification of linear quantum
error
quantum correlations
certification and classification of linear quantum error mitigation methods
leveraging this equivalence we propose a novel regularization method for
policy
policy learning
leveraging this equivalence we propose a novel regularization method for policy learning
moreover real-world preference learning often involves users with
different
preference learning
moreover real-world preference learning often involves users with different preferences
this work establishes a clean dichotomy the optimal time complexity to support central string
queries
query complexity
this work establishes a clean dichotomy the optimal time complexity to support central string queries in compressed space is either theta log n log log n or theta log log n
this paper presents a unified geometric framework for
brownian
brownian motion
this paper presents a unified geometric framework for brownian motion on manifolds encompassing intrinsic riemannian manifolds embedded submanifolds and lie groups
where galaxies go to die the environments of massive
quiescent
galaxy cgm
where galaxies go to die the environments of massive quiescent galaxies at 3 z 5
however to ensure a smooth and curated experience that aligns with the director or creator s vision several factors must be considered especially in open-world settings that depend on
natural
user experience
however to ensure a smooth and curated experience that aligns with the director or creator s vision several factors must be considered especially in open-world settings that depend on natural user movement
test-time alignment of llms via sampling-based optimal control in
pre-logit
models llms
test-time alignment of llms via sampling-based optimal control in pre-logit space
this paper presents tempopfn a univariate time series foundation model based on linear recurrent neural networks rnns pre-trained exclusively on
synthetic
synthetic data
this paper presents tempopfn a univariate time series foundation model based on linear recurrent neural networks rnns pre-trained exclusively on synthetic data
nonlinear stacked intelligent surfaces for
wireless
reconfigurable intelligent surface
nonlinear stacked intelligent surfaces for wireless systems
instead it interfaces with standard sensor
data
sensor data
instead it interfaces with standard sensor data streams to detect immobilization states interpret environmental context and generate high-level recovery commands that can be executed by the av s native planner
furthermore by using the meta-algorithm with the double greedy algorithm we obtain a 1 2 -approximation for unconstrained non-monotone
submodular
monotone submodular
furthermore by using the meta-algorithm with the double greedy algorithm we obtain a 1 2 -approximation for unconstrained non-monotone submodular maximization under noise
debiased machine learning typically requires estimation of the
riesz
debiased machine learning
debiased machine learning typically requires estimation of the riesz representer and the regression function
we compared them against four classical statistical models and two baseline
methods
fmri data
we compared them against four classical statistical models and two baseline methods on spontaneous neural activity recorded from mouse cortex via widefield imaging
this paper presents an ellipsoidal set-theoretic framework for robust
safety
safety filter
this paper presents an ellipsoidal set-theoretic framework for robust safety filter synthesis in constrained linear systems subject to additive bounded disturbances and input constraints
ztrs utilizes offline reinforcement learning with our proposed exhaustive policy optimization epo a variant of
policy
reinforcement learning
ztrs utilizes offline reinforcement learning with our proposed exhaustive policy optimization epo a variant of policy gradient tailored for enumerable actions and rewards
the pipeline enables concise summaries and structured entity
tagging
natural language processing
the pipeline enables concise summaries and structured entity tagging facilitating rapid document categorization and distribution
for a perfect crystal under parallel illumination with a pink beam our results show that
chromatic
optical properties
for a perfect crystal under parallel illumination with a pink beam our results show that chromatic aberration is absent whereas under condensed illumination it becomes significant
comprehensive numerical experiments demonstrate that appa outperforms established solvers in both accuracy and
efficiency
efficiently solving
comprehensive numerical experiments demonstrate that appa outperforms established solvers in both accuracy and efficiency across diverse problem instances
state-of-the-art robotic tool usage methods focused on procedurally generating or crowd-sourcing datasets of tools for a
task
mobile robots
state-of-the-art robotic tool usage methods focused on procedurally generating or crowd-sourcing datasets of tools for a task to learn how to grasp and manipulate them for that task
this note introduces a unified theory for
causal
causal effects
this note introduces a unified theory for causal inference that integrates riesz regression covariate balancing density-ratio estimation dre targeted maximum likelihood estimation tmle and the matching estimator in average treatment effect ate estimation
we further show that in this case the truncated random return follows a positively weighted non-central chi-square distribution if the random disturbances admits gaussian and its cumulative distribution function is log-concave if the probability density function of the
random
random return
we further show that in this case the truncated random return follows a positively weighted non-central chi-square distribution if the random disturbances admits gaussian and its cumulative distribution function is log-concave if the probability density function of the random disturbances is log-concave
a closed-form approximation-free control law is derived to ensure that each
agent
optimal control
a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic obstacles while also preventing inter-agent collisions in a socially aware manner and reaching the target within a prescribed time
rapid and reliable incident detection is critical for
reducing
incident detection
rapid and reliable incident detection is critical for reducing crash-related fatalities injuries and congestion
the unique energy band and crystal structure of the layered type-ii weyl semimetal tairte4 hold great promise for
high-performance
photonic crystal
the unique energy band and crystal structure of the layered type-ii weyl semimetal tairte4 hold great promise for high-performance broadband anisotropic optoelectronic devices
as its applications a new thought of smoothing quantile objective functions and a new estimation are provided for the asymptotic covariance matrix of
quantile
quantile regression
as its applications a new thought of smoothing quantile objective functions and a new estimation are provided for the asymptotic covariance matrix of quantile regression
ssf adapts the concept of retransmission from
communication
integrated sensing
ssf adapts the concept of retransmission from communication to sensing
moreover initializing training with srl before refining with
rlvr
reinforcement learning rl
moreover initializing training with srl before refining with rlvr yields the strongest overall performance
this work addresses the problem of tracking maneuvering objects with complex motion patterns a task in which conventional methods often struggle due to their reliance on predefined
motion
multi-object tracking
this work addresses the problem of tracking maneuvering objects with complex motion patterns a task in which conventional methods often struggle due to their reliance on predefined motion models
we numerically validate this framework by demonstrating protocols for the deterministic synthesis of noon states and high-photon-number fock
states
quantum algorithm
we numerically validate this framework by demonstrating protocols for the deterministic synthesis of noon states and high-photon-number fock states e
joint beamforming for multi-user multi-target fd isac system a
hybrid
beamforming design
joint beamforming for multi-user multi-target fd isac system a hybrid grq-ga approach
this neural approximation is embedded into the
optimization
deep reinforcement learning
this neural approximation is embedded into the optimization model as a mixed-integer linear program milp enabling effective enforcement of operational constraints related to the first-stage decisions
parametric channel estimation and design for
active-ris-assisted
active ris
parametric channel estimation and design for active-ris-assisted communications
here we introduce and formalize the concepts of isoergotropic
states
initial states
here we introduce and formalize the concepts of isoergotropic states and ergotropy-preserving operations which reorganize the internal structure of ergotropy while keeping its total value unchanged
a sharp density increase is observed at the illuminated edge consistent with alma observations revealing a sharp transition between molecular and
ionized
ionized gas
a sharp density increase is observed at the illuminated edge consistent with alma observations revealing a sharp transition between molecular and ionized gas
evaluating policy effects under network interference without network information a transfer
learning
policy optimization
evaluating policy effects under network interference without network information a transfer learning approach
in this work we investigate whether large language models llms can translate human natural
language
large language
in this work we investigate whether large language models llms can translate human natural language instructions into the internal symbolic representations that emerge during hierarchical reinforcement learning
77x compared to state-of-the-art cnn-based readout for cesium cs neutral
atom
atom interferometry
77x compared to state-of-the-art cnn-based readout for cesium cs neutral atom arrays
the first star-by-star n -body hydrodynamics
simulation
host galaxy
the first star-by-star n -body hydrodynamics simulation of our galaxy coupling with a surrogate model
the results build on iterated expert dialogues and assessments a systematic ai-supported literature overview including over 8 500 academic publications and
expert
ai systems
the results build on iterated expert dialogues and assessments a systematic ai-supported literature overview including over 8 500 academic publications and expert deep-dives into eight specific issue areas
predicting the adhesion and delamination strength of carbon
films
film thickness
predicting the adhesion and delamination strength of carbon films on metals by high-throughput ab initio calculations
our findings reinforce the need for designing llm-based tools that more clearly communicate their
programming
llm reasoning
our findings reinforce the need for designing llm-based tools that more clearly communicate their programming capabilities to users
real-world health studies require continuous and secure data
collection
data collection
real-world health studies require continuous and secure data collection from mobile and wearable devices
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit
correlations
quantum correlations
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
in this study we theoretically investigate an efficient free-space optical modulation of free
electrons
nonlinear optical
in this study we theoretically investigate an efficient free-space optical modulation of free electrons with two counter-propagating gaussian beams
we selected exploratory methods to provide another perspective on the data and to identify particular homogeneous subgroups of subjects within which an
effect
findings suggest
we selected exploratory methods to provide another perspective on the data and to identify particular homogeneous subgroups of subjects within which an effect might be detected
our algorithm achieves hat o m work and hat o 1 depth when epsilon 1 mathrm
polylog
mathrm polylog
our algorithm achieves hat o m work and hat o 1 depth when epsilon 1 mathrm polylog m making both the work and depth almost optimal up to a subpolynomial factor
our new linear optimization model pypsa-de simulates the electricity and hydrogen transmission networks as well as supply demand and storage in all sectors of the
energy
electricity demand
our new linear optimization model pypsa-de simulates the electricity and hydrogen transmission networks as well as supply demand and storage in all sectors of the energy system in germany and its neighboring countries with high spatial and temporal resolution
comprehensively the delocalized cu atom enhancing the phonon scattering process and the off-centred displacement of cations leading to bonding anharmonicity results ultra-low lattice thermal
conductivity
ionic conduction
comprehensively the delocalized cu atom enhancing the phonon scattering process and the off-centred displacement of cations leading to bonding anharmonicity results ultra-low lattice thermal conductivity kappa_l
under the alpha -symmetric l_0 l_1 -lipschitz condition we propose a novel step size strategy for eg to solve root-finding problems and establish sublinear convergence rates for monotone operators and linear
convergence
superlinear convergence
under the alpha -symmetric l_0 l_1 -lipschitz condition we propose a novel step size strategy for eg to solve root-finding problems and establish sublinear convergence rates for monotone operators and linear convergence rates for strongly monotone operators
it significantly outperforms strong baselines on
datasets
real-world datasets
it significantly outperforms strong baselines on datasets with challenging structures where existing methods fail most notably on multi-cluster data optdigits and complex high-dimensional data arrhythmia
identification and debiased learning of causal effects with
general
causal inference
identification and debiased learning of causal effects with general instrumental variables
resmatching noise-resilient computational super-resolution via guided conditional
flow
flow matching
resmatching noise-resilient computational super-resolution via guided conditional flow matching
a freeable matrix characterization of bipartite
graphs
regular graphs
a freeable matrix characterization of bipartite graphs of ferrers dimension three
sensitivity analysis is used to justify these discrepancies and an
empirical
sensitivity tradeoff
sensitivity analysis is used to justify these discrepancies and an empirical region of attraction estimation help us visualize their robustness
based on the mfsc we propose a novel framework named finegrainedad to improve
anomaly
anomaly detection
based on the mfsc we propose a novel framework named finegrainedad to improve anomaly localization performance which consists of two components multi-level learnable prompt mllp and multi-level semantic alignment mlsa
cruise achieves nearly double the planner s mean racing speed maintains high success
rates
autonomous driving
cruise achieves nearly double the planner s mean racing speed maintains high success rates and demonstrates robust scalability as agent density increases
we present a novel technique to decompose line-of-sight los stellar polarization as a function of distance aimed at reconstructing three dimensional 3d plane-of-sky pos magnetic structures in the
interstellar
star-forming region
we present a novel technique to decompose line-of-sight los stellar polarization as a function of distance aimed at reconstructing three dimensional 3d plane-of-sky pos magnetic structures in the interstellar medium ism
education unexpectedly has now become burdened by an especially crucial role of charting long-range strategies for discovering viable human skills that would guarantee their place in the world of the ubiquitous
use
ai assistance
education unexpectedly has now become burdened by an especially crucial role of charting long-range strategies for discovering viable human skills that would guarantee their place in the world of the ubiquitous use of ai in the intellectual sphere
the orbital edelstein effect yields similar values of theta_k s and theta_k
p
surface pockels
the orbital edelstein effect yields similar values of theta_k s and theta_k p while the surface pockels effect leads to opposing values of theta_k s and theta_k p
distributed quantum computing dqc provides a promising route toward scalable quantum
computation
fault-tolerant quantum
distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches
this paper is a stepping stone for a broader community effort toward systematic
context
context engineering
this paper is a stepping stone for a broader community effort toward systematic context engineering in ai systems
through comprehensive experimentation across six diverse tasks and utilizing six distinct llms our methodology demonstrates remarkable results achieving
speeds
extensive experiments
through comprehensive experimentation across six diverse tasks and utilizing six distinct llms our methodology demonstrates remarkable results achieving speeds up to 5
roadsens-4m a multimodal smartphone camera
dataset
autonomous driving
roadsens-4m a multimodal smartphone camera dataset for holistic road-way analysis
in this paper we study how a conservative
decision
policy learning
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
evaluating policy effects under network interference without network information a transfer
learning
policy evaluation
evaluating policy effects under network interference without network information a transfer learning approach
ablation studies indicate contributions from each graph component suggesting that structured representations and a judge llm are complementary for
normative
normative reasoning
ablation studies indicate contributions from each graph component suggesting that structured representations and a judge llm are complementary for normative reasoning