prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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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 |
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