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to make inverse optimal issf controllers robust to gain variation we propose a
gain
gain margin
to make inverse optimal issf controllers robust to gain variation we propose a gain margin improvement approach at the expense of an increased control effort
stesso a reconfigurable decomposition of n -bit toffoli
gates
-bit toffoli
stesso a reconfigurable decomposition of n -bit toffoli gates using symmetrical logical structures and adjustable support qubits
collision avoidance and path finding in a robotic
mobile
mobile robots
collision avoidance and path finding in a robotic mobile fulfillment system using multi-objective meta-heuristics
however works on collaborative training across clients with fundamentally different neural architectures and non-identically
distributed
continual learning
however works on collaborative training across clients with fundamentally different neural architectures and non-identically distributed datasets remain scarce
while internal processes appear to dominate we also present a clear example of rejuvenation
triggered
ionized gas
while internal processes appear to dominate we also present a clear example of rejuvenation triggered by gas accretion
we analyze n -qubit cavity-coupled qbs governed by dicke and tavis--cummings
models
open quantum
we analyze n -qubit cavity-coupled qbs governed by dicke and tavis--cummings models under gaussian driving and open-system dynamics
these accretion-based m_ bullet values which in this sample span nearly three orders of magnitude are consistent with
galactic
galactic nuclei
these accretion-based m_ bullet values which in this sample span nearly three orders of magnitude are consistent with galactic scaling relations but are significantly more precise 68 credible interval pm 0
these results indicate that the privacy and helpfulness of
llm
llm raters
these results indicate that the privacy and helpfulness of llm responses are often specific to individuals and proxy llms are poor estimates of how real users would perceive these responses in privacy-sensitive scenarios
weighted food webs make computing phylogenetic
diversity
phylogenetic diversity
weighted food webs make computing phylogenetic diversity so much harder
nearest neighbor matching is equivalent to least squares density ratio
estimation
riesz regression
nearest neighbor matching is equivalent to least squares density ratio estimation and riesz regression
these results establish a general framework for multi-port spectral engineering in
integrated
integrated photonics
these results establish a general framework for multi-port spectral engineering in integrated photonics with broad implications for tunable filters modulators sensors and nonlinear optical systems
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
quiescent 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
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
our result nearly matches the o log 2 n approximation
guarantee
approximation guarantee
our result nearly matches the o log 2 n approximation guarantee of the quasi-polynomial-time algorithm by li xu and zhang icalp 2025
a sharp density increase is observed at the illuminated edge consistent with alma observations revealing a sharp transition between
molecular
molecular gas
a sharp density increase is observed at the illuminated edge consistent with alma observations revealing a sharp transition between molecular and ionized gas
we present the first dynamic algorithms for dyck and
tree
-time algorithm
we present the first dynamic algorithms for dyck and tree edit distances with subpolynomial update times
compact low-mass galaxies with intense optical emission lines are linked to elevated specific star formation
rates
stellar mass
compact low-mass galaxies with intense optical emission lines are linked to elevated specific star formation rates ssfrs and recent bursts of star formation
simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of
quantum
quantum technologies
simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers
infected individuals in some epidemics can remain
asymptomatic
disease transmission
infected individuals in some epidemics can remain asymptomatic while still carrying and transmitting the infection
we further introduce gui knowledge bench a benchmark with multiple choice and yes no
questions
gui knowledge
we further introduce gui knowledge bench a benchmark with multiple choice and yes no questions across six platforms web android macos windows linux ios and 292 applications
feedback in these systems may enable the leakage of ionizing radiation into the
intergalactic
radiative transfer
feedback in these systems may enable the leakage of ionizing radiation into the intergalactic medium
a unified theory for causal inference direct debiased machine
learning
policy learning
a unified theory for causal inference direct debiased machine learning via bregman-riesz regression
we also examine how flexible time frequency resource allocation of prs affects toa estimation accuracy and discuss optimal
prs
signal-to-noise ratio
we also examine how flexible time frequency resource allocation of prs affects toa estimation accuracy and discuss optimal prs configurations for a given signal environment
rather than discrete treatment effect estimators the framework characterizes treatment intensity as a
continuous
treatment effect boundaries
rather than discrete treatment effect estimators the framework characterizes treatment intensity as a continuous function tau mathbf x t over space-time enabling rigorous analysis of propagation dynamics boundary evolution and cumulative exposure patterns
while autonomous racing performance in time-trial scenarios has seen significant progress and development autonomous wheel-to-wheel
racing
wheel-to-wheel racing
while autonomous racing performance in time-trial scenarios has seen significant progress and development autonomous wheel-to-wheel racing and overtaking are still severely limited
we release the code and data for aot-psyphybench to encourage further progress in the physical and temporal reasoning
capabilities
reasoning tasks
we release the code and data for aot-psyphybench to encourage further progress in the physical and temporal reasoning capabilities of vlms
stochastic state estimation methods for continuum
robots
robotic systems
stochastic state estimation methods for continuum robots crs often struggle to balance accuracy and computational efficiency
we implement multiple variants of pvmark in python rust and circom covering combinations of three
watermarking
watermarking schemes
we implement multiple variants of pvmark in python rust and circom covering combinations of three watermarking schemes three hash functions and four zkp protocols to show our approach effectively works under a variety of circumstances
the work systematically analyzes fundamental network metrics including node
centrality
complex networks
the work systematically analyzes fundamental network metrics including node centrality average shortest path length and entropy
the framework is organized around a small set of sector-agnostic components that can be combined into flexible
graph
network structures
the framework is organized around a small set of sector-agnostic components that can be combined into flexible graph structures making it straightforward to extend to new technologies policies and commodities
the circumgalactic medium cgm is host to gas flows into and out of galaxies and regulates galaxy growth but the multiphase
diffuse
host galaxy
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
a hierarchical architecture combining one orchestrator with three specialist agents uses the react pattern for iterative
reasoning
reasoning capabilities
a hierarchical architecture combining one orchestrator with three specialist agents uses the react pattern for iterative reasoning enabling dynamic coordination without hardcoded workflows while integrating google calendar for context-aware deadline extraction
specifically to assess how well llms reason with normative modals we make a comparison between their reasoning with
normative
normative reasoning
specifically to assess how well llms reason with normative modals we make a comparison between their reasoning with normative modals and their reasoning with epistemic modals which share a common formal structure
on the theoretical front we observe that studying the approximate rank of
language
language models
on the theoretical front we observe that studying the approximate rank of language models in the sense discussed above yields a simple universal abstraction whose theoretical predictions parallel our experiments
lastly we show that a fast and simple pipeline relying on heat
kernels
heat kernels
lastly we show that a fast and simple pipeline relying on heat kernels is able to achieve state-of-the-art results matching or even outperforming certain slow or complex algorithms
these findings support a clear takeaway improving representation learning is a direct and useful path to robust world models delivering reliable long-horizon
predictions
policy learning
these findings support a clear takeaway improving representation learning is a direct and useful path to robust world models delivering reliable long-horizon predictions without enlarging the dynamics module
we show that if the system is controllable then incorporating this as
prior
predictive control
we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for data-driven stabilization
our applications follow by leveraging recent weakly polynomial almost linear time algorithms for maximum
flow
maximum flow
our applications follow by leveraging recent weakly polynomial almost linear time algorithms for maximum flow due to chen kyng liu peng gutenberg sachdeva focs 2022 and brand chen kyng liu peng gutenberg sachdeva sidford focs 2023 and by developing incremental transitive cover data structures
we employ the plane-wave expansion method to compute distributions of emission rates that are relevant to many optical experiments where
quantum
quantum emitters
we employ the plane-wave expansion method to compute distributions of emission rates that are relevant to many optical experiments where quantum emitters are distributed within a crystal
visual navigation algorithms for quadrotors often exhibit a large variation in performance when transferred across different vehicle platforms and
scene
visual navigation
visual navigation algorithms for quadrotors often exhibit a large variation in performance when transferred across different vehicle platforms and scene geometries which increases the cost and risk of field deployment
on the contrary while highly adaptable to
heavy-tailed
distribution shift
on the contrary while highly adaptable to heavy-tailed distributions hyperexponential he models struggle in the body part of the distribution
learning to defer uncertain predictions to costly experts offers a powerful strategy for improving the
accuracy
predictive performance
learning to defer uncertain predictions to costly experts offers a powerful strategy for improving the accuracy and efficiency of machine learning systems
we discuss our results in the context of designing pest management strategies under enhanced
climate
climate change
we discuss our results in the context of designing pest management strategies under enhanced climate change and habitat fragmentation
large language models llms face significant inference latency challenges stemming from their autoregressive design and
large
language models
large language models llms face significant inference latency challenges stemming from their autoregressive design and large size
while this approach has advantages such as independence from appearance the existing methods may break down under
real-world
spatial reasoning
while this approach has advantages such as independence from appearance the existing methods may break down under real-world conditions
the ratio of disadvantaged to advantaged candidates
selected
competitive ratio
the ratio of disadvantaged to advantaged candidates selected by the matching process in this setting
5 nm separating nonmagnetic nanoflakes from larger ones with a
magnetic
magnetic anisotropy
5 nm separating nonmagnetic nanoflakes from larger ones with a magnetic ground state emerging from several energetically competing spin configurations
our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum
computing
quantum error correction
our work incorporates state-of-the-art innovations in all key aspects of the fault-tolerant quantum computing ftqc stack to show how quantum computers could realistically and practically tackle co _2 utilization for green energy production
we find that dwarf agn selected by infrared colors are the most distinct
population
star formation
we find that dwarf agn selected by infrared colors are the most distinct population with the highest star formation rates and lowest stellar masses
we motivate the applicability of this process by using it to simulate a number of barely random algorithms for weighted interval selection single-length arbitrary weights as well as monotone c-benevolent and d-benevolent weighted instances the proportional and
general
integer programs
we motivate the applicability of this process by using it to simulate a number of barely random algorithms for weighted interval selection single-length arbitrary weights as well as monotone c-benevolent and d-benevolent weighted instances the proportional and general knapsack problems binary string guessing and unweighted job throughput scheduling
it is well known that the combination of off-policy learning and
function
policy learning
it is well known that the combination of off-policy learning and function approximation can lead to divergence of the algorithm
unlike the conventional far-field assumption near-field
beam
near-field beam
unlike the conventional far-field assumption near-field beam prediction requires codebooks that jointly sample the angular and distance domains which leads to a dramatic increase in pilot overhead
llm-based conversational agents to mitigate passive fatigue in conditional
automated
automated driving
llm-based conversational agents to mitigate passive fatigue in conditional automated driving
convergence analysis for an implementable scheme to solve the linear-quadratic stochastic optimal
control
optimal control
convergence analysis for an implementable scheme to solve the linear-quadratic stochastic optimal control problem with stochastic wave equation
on algorithmic meta-theorems for solution
discovery
solution discovery
on algorithmic meta-theorems for solution discovery tractability and barriers
their spectral response is governed by bus-to-resonator
coupling
coupling regimes
their spectral response is governed by bus-to-resonator coupling typically classified as under- critical- or over-coupling
1-8b over a multi-domain suite reasoning curriculum yields
consistent
mathematical reasoning
1-8b over a multi-domain suite reasoning curriculum yields consistent gains
hybrid dqn-td3 reinforcement learning for autonomous navigation in
dynamic
motion planning
hybrid dqn-td3 reinforcement learning for autonomous navigation in dynamic environments
as such while small-scale societies may be demographically fragile large-scale
societies
large population
as such while small-scale societies may be demographically fragile large-scale societies should be much more stable
we study the impact of such noise on sparse
point-process
gaussian process
we study the impact of such noise on sparse point-process estimation across different models including poisson and thomas processes
here we study continual learning and the compositional reuse of learned computations in
recurrent
recurrent neural networks
here we study continual learning and the compositional reuse of learned computations in recurrent neural network rnn models using a novel two-system approach one system that infers what computation to perform and one that implements how to perform it
differentiating through constrained optimization problems is increasingly central to learning
control
optimal control
differentiating through constrained optimization problems is increasingly central to learning control and large-scale decision-making systems yet practical integration remains challenging due to solver specialization and interface mismatches
the estimation method linear smoothers maximum likelihood generalized method of
moments
density-ratio estimation
the estimation method linear smoothers maximum likelihood generalized method of moments etc
in this work we investigate the temporal evolution of
key
dwarf galaxies
in this work we investigate the temporal evolution of key indicators of dynamical relaxation with particular emphasis on the secular growth of the diffuse intragroup light igl the four major group galaxies and the mass distributions of their progenitors
in this work we present unique light-matter
interactions
light-matter interactions
in this work we present unique light-matter interactions in saphhire within its reststrahlen bands rbs across the long-wave infrared lwir spectrum omega 385 - 1050 mathrm cm -1
simulating finite temperature phase transitions from first-principles is
computationally
first-principles calculations
simulating finite temperature phase transitions from first-principles is computationally challenging
however when a food web representing predator-prey relationships is given finding a set of species that optimizes phylogenetic diversity subject to the condition that each saved species should be able to find food among the preserved
species
ecological communities
however when a food web representing predator-prey relationships is given finding a set of species that optimizes phylogenetic diversity subject to the condition that each saved species should be able to find food among the preserved species is np-hard spillner et al
to address these challenges we propose a spatial prior-guided cross dual
encoder
dual encoder
to address these challenges we propose a spatial prior-guided cross dual encoder network spg-cdenet a novel two-stage segmentation paradigm designed to improve multi-organ segmentation accuracy
machine translation mt is widely employed to address resource scarcity in low-resource languages by generating
synthetic
synthetic data
machine translation mt is widely employed to address resource scarcity in low-resource languages by generating synthetic data from high-resource counterparts
this work tackles the problem of identifying asymptomatic individuals considering a classic si susceptible-infected network epidemic model where a fraction of the infected nodes are not observed as
infected
infectious individuals
this work tackles the problem of identifying asymptomatic individuals considering a classic si susceptible-infected network epidemic model where a fraction of the infected nodes are not observed as infected i
in this paper we propose a method for correcting sample selection bias when the outcome of interest is
categorical
categorical outcomes
in this paper we propose a method for correcting sample selection bias when the outcome of interest is categorical such as occupational choice health status or field of study
from the perspective of dynamical systems theory visual
rivalry
visual stimuli
from the perspective of dynamical systems theory visual rivalry offers an experimentally tractable window into the dynamical mechanisms governing perceptual awareness
we initiate this study by focusing on collective
behaviors
collective systems
we initiate this study by focusing on collective behaviors that change abruptly at certain critical numbers of individuals
unmanned aerial vehicles with their airborne full-sample continuous trajectory
observation
optimal uav
unmanned aerial vehicles with their airborne full-sample continuous trajectory observation bring new opportunities for macro- and micro-traffic state estimation
minimax robust method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible
spectral
spectral density matrices
minimax robust method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible spectral densities are given
to assess and demonstrate the functionality and performance of the proposed approach we performed numerical
simulations
multi-drone racing
to assess and demonstrate the functionality and performance of the proposed approach we performed numerical simulations and executed dozens of real-time tumble-recovery maneuvers using a small quadrotor
we design a deterministic algorithm that given n points in a emph typical constant degree
regular
regular graphs
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
simulation studies indicate that the proposed method performs favorably
compared
numerical experiments
simulation studies indicate that the proposed method performs favorably compared to existing approaches
the cross dual encoder network comprises four essential components a global encoder a local
encoder
encoder network
the cross dual encoder network comprises four essential components a global encoder a local encoder a symmetric cross-attention module and a flow-based decoder
in this work we investigate phase noise arising from shot-to-shot fluctuations in the atoms transverse motion in the presence of the wavefront curvature of the interferometer beam and analyse its dependence on the laser-beam geometry in long-baseline large-momentum-transfer
atom
atom interferometry
in this work we investigate phase noise arising from shot-to-shot fluctuations in the atoms transverse motion in the presence of the wavefront curvature of the interferometer beam and analyse its dependence on the laser-beam geometry in long-baseline large-momentum-transfer atom interferometers
this is an exponential improvement over previous results and only a
polylogarithmic
poly log
this is an exponential improvement over previous results and only a polylogarithmic factor away from the lower bound
understanding how learning algorithms shape the computational strategies that
emerge
continual learning
understanding how learning algorithms shape the computational strategies that emerge in neural networks remains a fundamental challenge in machine intelligence
this entanglement biases conventional brain
encoding
human brain
this entanglement biases conventional brain encoding analyses toward linguistically shallow features e
practically this model motivates a transparent control layer with predictable incentives where the agent learns to defer when risky and act when safe while its pretrained
policy
reinforcement learning
practically this model motivates a transparent control layer with predictable incentives where the agent learns to defer when risky and act when safe while its pretrained policy and the environment s reward structure remain untouched
consider the setting in which a researcher is interested in the
causal
causal inference
consider the setting in which a researcher is interested in the causal effect of a treatment z on a duration time t which is subject to right censoring
to further stabilize optimization icpo integrates expert region reject sampling to filter unreliable off-policy trajectories and annealed expert-bonus reward shaping to balance early
expert
policy learning
to further stabilize optimization icpo integrates expert region reject sampling to filter unreliable off-policy trajectories and annealed expert-bonus reward shaping to balance early expert guidance with later autonomous improvement
llms as in-context meta-learners for model and
hyperparameter
large language models llms
llms as in-context meta-learners for model and hyperparameter selection
we propose a new and more substantively appropriate conditional extrapolation assumption which requires an analyst to conduct a preliminary test to determine whether the severity of pre-treatment
parallel
parallel trends
we propose a new and more substantively appropriate conditional extrapolation assumption which requires an analyst to conduct a preliminary test to determine whether the severity of pre-treatment parallel trend violations falls below an acceptable level before extrapolation to the post-treatment period is justified
existing methods either overlook coreference
resolution
coreference resolution
existing methods either overlook coreference resolution or fail to scale beyond short text spans leading to fragmented graphs and inconsistent entity linking
the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate
collision
collision avoidance
the system is implemented in ros gazebo turtlebot3 and evaluated with pathbench metrics including success rate collision rate path efficiency and re-planning efficiency in dynamic and partially observable environments
spiral structure diversity in milky way analogs from tng50 the
role
galactic disk
spiral structure diversity in milky way analogs from tng50 the role of gas and disk dynamics
competitive equilibrium for electricity markets with spatially
flexible
optimal power flow
competitive equilibrium for electricity markets with spatially flexible load
twinvoice a multi-dimensional benchmark towards digital twins via llm
persona
persona simulation
twinvoice a multi-dimensional benchmark towards digital twins via llm persona simulation
the phase transition is quite robust and becomes progressively conspicuous in the limit of large population size where deterministic
evolutionary
evolutionary game
the phase transition is quite robust and becomes progressively conspicuous in the limit of large population size where deterministic evolutionary game dynamics viz
reasoning curriculum bootstrapping broad llm
reasoning
reasoning curriculum
reasoning curriculum bootstrapping broad llm reasoning from math
optical and infrared time-domain studies of
quasars
quiescent galaxies
optical and infrared time-domain studies of quasars remain scarce
our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of normative
reasoning
reasoning curriculum
our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of normative reasoning and display cognitive biases similar to those observed in psychological studies of human reasoning
existing benchmarks have widely leveraged high school math competitions for evaluating mathematical
reasoning
mathematical reasoning
existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large language models llms
the local gaussian correlation networks among return tails in the chinese
stock
local gaussian correlation
the local gaussian correlation networks among return tails in the chinese stock market
specifically it optimizes not only for the estimated objective value but also for the chances that the policy will be statistically significantly better than the observational
policy
policy optimization
specifically it optimizes not only for the estimated objective value but also for the chances that the policy will be statistically significantly better than the observational policy used to collect data