prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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quantum versus classical descriptions of spontaneous | emission | quantum emitters | quantum versus classical descriptions of spontaneous emission in nanophotonic cavities |
performance varies significantly across games suggesting sensitivity to | interaction | task performance | performance varies significantly across games suggesting sensitivity to interaction complexity |
as a further consequence we obtain a emph deterministic and emph combinatorial two-party | communication | network coding | as a further consequence we obtain a emph deterministic and emph combinatorial two-party communication protocol for computing a minimum s -- t cut using widetilde o n 11 7 bits of communication |
this paper presents findings from a test-track study with 40 participants in a real-world rural | automated | automated driving | this paper presents findings from a test-track study with 40 participants in a real-world rural automated driving scenario |
in linear time-invariant systems the sensitivity | function | data-driven stabilization | in linear time-invariant systems the sensitivity function to disturbances is designed under a sensitivity tradeoff known as the waterbed effect |
nearest neighbor matching as least squares density ratio | estimation | density-ratio estimation | nearest neighbor matching as least squares density ratio estimation and riesz regression |
these methods are generally classified into two categories numerical optimization-based methods emd vmd and spectral decomposition | methods | signal processing | these methods are generally classified into two categories numerical optimization-based methods emd vmd and spectral decomposition methods ssa that consider the physical meaning of signals |
we find a total of 20 mechanisms of third-order nonlinear | transport | transport properties | we find a total of 20 mechanisms of third-order nonlinear transport by developing a comprehensive theory that treats the geometric effects and disorder scattering on an equal footing |
we developed a dataset with actual warehouse operations and | demonstrated | real-world applications | we developed a dataset with actual warehouse operations and demonstrated the method s effectiveness for real-world applications |
here we implement an efficient quantum simulation | algorithm | quantum batteries | here we implement an efficient quantum simulation algorithm on quantinuum s system model h2 trapped-ion quantum computer for the time dynamics of a 56-qubit system that is too complex for exact classical simulation |
we show that the new formulation produces the same linear | programming | quadratic programming | we show that the new formulation produces the same linear programming bound as the tightest existing formulations for the studied problem which use 4-index variables outperforming existing supermodular formulations adapted to the considered problem |
our key findings are that the amount of resources in the environment can lead to specific subgroup sizes being optimal for the group as a whole when individuals are homogeneous in their | information | collective systems | our key findings are that the amount of resources in the environment can lead to specific subgroup sizes being optimal for the group as a whole when individuals are homogeneous in their information gathering abilities |
we construct reference frames using three different sets of external sources 1 stars with gaia dr3 data 2 stationary background galaxies and 3 a | combination | reference frame | we construct reference frames using three different sets of external sources 1 stars with gaia dr3 data 2 stationary background galaxies and 3 a combination of the two |
recently reward models have been specifically designed to perform post-hoc selection of generated | images | image generation | recently reward models have been specifically designed to perform post-hoc selection of generated images and align them to a reward typically user preference |
stochastic optimization in semi-discrete optimal | transport | optimal transport | stochastic optimization in semi-discrete optimal transport convergence analysis and minimax rate |
life-cycle modeling and the walking behavior of the pedestrian-group as an emergent agent with empirical | data | human mobility | life-cycle modeling and the walking behavior of the pedestrian-group as an emergent agent with empirical data on the cohesion of the group formation |
we use the line ratios of the ci fine-structure | lines | emission line | we use the line ratios of the ci fine-structure lines to constrain the density of the cold gas yielding n_ rm h sim 10 3 mathrm cm -3 |
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 evaluate 15 foundation models across 79 problems spanning eight academic | domains | smaller models | we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics biology statistics calculus and optimization through three experimental phases 1 baseline establishment six models mixtral-8x7b phi-3 llama 3 |
theoretically we show that the generative models within the bo | process | gaussian process | theoretically we show that the generative models within the bo process approximately follow a sequence of distributions which asymptotically concentrate at the global optima under certain conditions |
this is formulated as a bilevel optimization problem the inner optimization solves the qp under a given projection using a qp solver while the outer | optimization | optimization problem | this is formulated as a bilevel optimization problem the inner optimization solves the qp under a given projection using a qp solver while the outer optimization updates the model parameters |
estimating brain activity with high spatial and temporal | resolution | temporal resolution | estimating brain activity with high spatial and temporal resolution using a naturalistic meg-fmri encoding model |
twin-field quantum key distribution protocols security and | open | quantum error correction | twin-field quantum key distribution protocols security and open problems |
while traditional approaches rely on data to reveal causal links a recently developed method assimilative | causal | causal inference | while traditional approaches rely on data to reveal causal links a recently developed method assimilative causal inference aci integrates observations with dynamical models |
we establish fast o 1 n -type regret guarantees when propensities are known and extend these | guarantees | policy optimization | we establish fast o 1 n -type regret guarantees when propensities are known and extend these guarantees to the unknown-propensity case via a doubly robust dr objective |
the former deterministically realizes nonlocal operations but | demands | network nonlocality | the former deterministically realizes nonlocal operations but demands extensive entanglement resources whereas the latter requires no entanglement yet suffers from exponential sampling overhead |
reconstructing images seen by people from their | fmri | human brain | reconstructing images seen by people from their fmri brain recordings provides a non-invasive window into the human brain |
multi-objective model predictive control mompc for fixed point | stabilization | predictive control | multi-objective model predictive control mompc for fixed point stabilization requires an automated a priori decision-making mechanism to translate a high-level preference into a single solution to be implemented |
our findings connect entanglement dissipation-enhanced | scaling | entanglement entropy | our findings connect entanglement dissipation-enhanced scaling laws and superabsorption outlining a pathway towards scalable quantum batteries offering practical quantum advantage |
leveraging the linearity of hilbert spaces gce also supports simple yet effective control algorithms for synthesizing | optimal | predictive control | leveraging the linearity of hilbert spaces gce also supports simple yet effective control algorithms for synthesizing optimal sequences |
through horizontal comparison with three baselines the optimal | uav | optimal uav | through horizontal comparison with three baselines the optimal uav location scheme obtained by the proposed method can reach an improvement of up to 7 |
sensitive cells may acquire resistance through | mutation | adaptive immune | sensitive cells may acquire resistance through mutation which is coupled to a change in cellular fitness |
in contrast both problems admit algorithms against oblivious adversaries that achieve operatorname | polylog | poly log | in contrast both problems admit algorithms against oblivious adversaries that achieve operatorname polylog n amortized update time behnezhad derakhshan hajiaghayi stein sudan focs 19 |
randomization of weighted networks has traditionally been done via the | weighted | network structures | randomization of weighted networks has traditionally been done via the weighted configuration model wcm a simple extension of the configuration model where weights are interpreted as bundles of edges |
as a byproduct we obtain a complete characterization of the internal and bibo stability of linear | control | linear control | as a byproduct we obtain a complete characterization of the internal and bibo stability of linear control systems |
we investigate the impact of synthetic data generation and lightweight fine-tuning techniques on the ability of large | language | large language | we investigate the impact of synthetic data generation and lightweight fine-tuning techniques on the ability of large language models llms to recognize fallacious arguments using the missci dataset and framework |
in many practical settings however user interactions are limited or costly making offline | preference | preference learning | in many practical settings however user interactions are limited or costly making offline preference learning necessary |
the advent of large language models llms has revolutionized | natural | natural language processing | 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 |
compact accretion disks in the aftermath of | tidal | tidal disruption | compact accretion disks in the aftermath of tidal disruption events parameter inference from joint x-ray spectra and uv optical photometry fitting |
it remains open whether these algorithms can provide tight provable | guarantees | online algorithm | it remains open whether these algorithms can provide tight provable guarantees in i o-costs on trees |
by experimental results pvmark efficiently enables public verifiability on the state-of-the-art llm watermarking schemes yet without compromising the | watermarking | watermarking schemes | by experimental results pvmark efficiently enables public verifiability on the state-of-the-art llm watermarking schemes yet without compromising the watermarking performance promising to be deployed in practice |
more recently a new class of prefix queries was introduced together with reductions that among others transform a simple tradeoff for prefix-select | queries | query time | more recently a new class of prefix queries was introduced together with reductions that among others transform a simple tradeoff for prefix-select queries into a suffix array tradeoff matching state-of-the-art space and query-time bounds while achieving sublinear construction time |
in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for computing two-time impurity correlation functions by combining the non-markovian quantum mpemba effect nmqmpe with a dynamical map-based framework for | open | quantum walk | in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for computing two-time impurity correlation functions by combining the non-markovian quantum mpemba effect nmqmpe with a dynamical map-based framework for open quantum systems |
the first part based on system decomposition constructs the object such as a stability function or condition for | stability | data-driven stabilization | the first part based on system decomposition constructs the object such as a stability function or condition for stability analysis as a scalable aggregation of multiple nns |
we derive h beta -based single-epoch virial black-hole | masses | black hole mass | we derive h beta -based single-epoch virial black-hole masses median value rm 4 |
the numerical methods to do this efficiently depend on the properties of the | loss | gradient descent | the numerical methods to do this efficiently depend on the properties of the loss function |
our approach directly models the conditional probability of a fund s portfolio weights given stock characteristics historical returns previous weights and a latent variable representing the | fund | risk prediction | our approach directly models the conditional probability of a fund s portfolio weights given stock characteristics historical returns previous weights and a latent variable representing the fund s strategy |
applying consensus clustering with a hierarchical density-based | clustering | star clusters | applying consensus clustering with a hierarchical density-based clustering algorithm we demonstrate that the detected spatial dependencies are stable against perturbations by measurement uncertainties |
in more complex scenarios we show that thinking of | selection | evolutionary game | in more complex scenarios we show that thinking of selection over discrete generations has significant advantages |
quantum imaging with entangled photon pairs promises performance beyond classical limits yet phase-matching | nonlinear | quantum correlations | quantum imaging with entangled photon pairs promises performance beyond classical limits yet phase-matching nonlinear crystal properties and pump size jointly constrain its ultimate spatial resolution |
reinforcement learning with verifiable rewards rlvr is a promising approach for enhancing agentic | deep | reinforcement learning rl | reinforcement learning with verifiable rewards rlvr is a promising approach for enhancing agentic deep search |
applications span environmental economics | banking | european banking | applications span environmental economics banking and healthcare policy |
we then apply it to a higher-order spin-glass hamiltonian with 156 | qubits | quantum advantage | we then apply it to a higher-order spin-glass hamiltonian with 156 qubits executed on ibm quantum processors |
we provide extensive simulation experiments | demonstrating | randomized experiments | we provide extensive simulation experiments demonstrating the validity of our sensitivity approach and diagnostics and apply our approach to two empirical applications |
our main findings from simple human memory paradigms also generalize to a | sequence | recurrent neural networks | our main findings from simple human memory paradigms also generalize to a sequence completion task which more closely resembles the next-token prediction process in llm pre-training |
we formulate the model as a system of ordinary differential equations and leverage monotone | systems | evolutionary dynamics | we formulate the model as a system of ordinary differential equations and leverage monotone systems theory to rigorously characterize the epidemic dynamics |
it is shown however that under control gain variation the | safe | data-driven stabilization | it is shown however that under control gain variation the safe set of these controllers is locally asymptotically stable which implies that their safety is sensitive to large but bounded disturbances |
our work not only clarifies the intimate connection between magnetism and cef in rare-earth compounds but more importantly it reveals a physical pathway to effectively tune | magnetic | magnetic anisotropy | our work not only clarifies the intimate connection between magnetism and cef in rare-earth compounds but more importantly it reveals a physical pathway to effectively tune magnetic anisotropy via anisotropic lattice distortion induced by chemical pressure |
the main results are the existence and uniqueness of a regular mild solution to the | hjb | hjb equation | the main results are the existence and uniqueness of a regular mild solution to the hjb equation a verification theorem and the synthesis of optimal feedback controls |
shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from | jwst | quiescent galaxies | shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from jwst nirspec and miri mrs spectroscopy |
in quantum networks after passing through noisy channels or information processing residual | states | multipartite entanglement | in quantum networks after passing through noisy channels or information processing residual states may lack sufficient entanglement for further tasks yet they may retain hidden quantum resources that can be recycled |
posterior sampling by combining diffusion models with | annealed | diffusion models | posterior sampling by combining diffusion models with annealed langevin dynamics |
neyman targeted estimation includes riesz | representer | riesz regression | neyman targeted estimation includes riesz representer estimation and we measure discrepancies using the bregman divergence |
reinforcement learning for pollution detection in a randomized sparse and nonstationary environment with an | autonomous | reinforcement learning | reinforcement learning for pollution detection in a randomized sparse and nonstationary environment with an autonomous underwater vehicle |
from linear to nonlinear provable weak-to-strong generalization through | feature | deep learning | from linear to nonlinear provable weak-to-strong generalization through feature learning |
we study the complementarity of different cnns for | periocular | deep network | we study the complementarity of different cnns for periocular verification at different distances on the ubipr database |
human-in-the-loop online rejection sampling for | robotic | robotic systems | human-in-the-loop online rejection sampling for robotic manipulation |
large language models llms have demonstrated exceptional | capabilities | large language models llms | large language models llms have demonstrated exceptional capabilities across multiple domains by leveraging massive pre-training and curated fine-tuning data |
in this paper we systematically evaluate llms | reasoning | reasoning capabilities | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
this leads to an imbalanced optimization that drives the model to prioritize simple reasoning | skills | reasoning tasks | this leads to an imbalanced optimization that drives the model to prioritize simple reasoning skills while hindering its ability to tackle more complex reasoning tasks |
to illustrate this we construct a class of structured datasets where incremental | adam | deep learning | to illustrate this we construct a class of structured datasets where incremental adam provably converges to the ell_2 -max-margin classifier in contrast to the ell_ infty -max-margin bias of full-batch adam |
we consider two types of loss function the empirical l_1 distance between the intensity | functions | loss function | we consider two types of loss function the empirical l_1 distance between the intensity functions of the process and the l_1 norm on the parameters background rates and interaction functions |
towards reliable sea ice drift estimation in the arctic | deep | sea ice | towards reliable sea ice drift estimation in the arctic deep learning optical flow on radarsat-2 |
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 | quadratic programming | 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 |
the paradigm consists of two parts the neural stability | descriptor | deep neural | the paradigm consists of two parts the neural stability descriptor and the sample-augmented iterative training scheme |
this improves upon known results in the literature that state that | convergence | convergence rate | this improves upon known results in the literature that state that convergence holds for a sufficiently small discount factor by establishing an explicit bound |
our initial approach uses solve_bvp to approximate optimal | control | predictive control | our initial approach uses solve_bvp to approximate optimal control trajectories |
we show that in many settings and in some sense generically | distribution | distribution shift | we show that in many settings and in some sense generically distribution shift can be beneficial and test performance can improve due to mismatched training proportions even if the components are unrelated and with no transfer between components |
our results establish the learning algorithm as a primary determinant of emergent computation revealing how reward-based | optimization | artificial intelligence | our results establish the learning algorithm as a primary determinant of emergent computation revealing how reward-based optimization autonomously discovers sophisticated dynamical mechanisms that are less accessible to direct gradient-based optimization |
our results imply an n omega o 1 -time strongly polynomial time algorithms for computing a maximum | bipartite | bipartite graphs | our results imply an n omega o 1 -time strongly polynomial time algorithms for computing a maximum bipartite b -matching where omega is the matrix multiplication constant |
our design demonstrates complementary channel-specific | coupling | photonic devices | our design demonstrates complementary channel-specific coupling regimes and enables wavelength-dependent lorentzian-to-fano lineshaping |
building upon previous works where a field approach to activity--connectivity dynamics formation of collective states and effective fields of collective states were successively introduced the present paper synthesizes and extends these results toward a general description of multiple hierarchical | collective | collective states | building upon previous works where a field approach to activity--connectivity dynamics formation of collective states and effective fields of collective states were successively introduced the present paper synthesizes and extends these results toward a general description of multiple hierarchical collective structures |
the proposed framework uses a simple and effective rejection sampling method to reconstruct these | traces | thinking traces | the proposed framework uses a simple and effective rejection sampling method to reconstruct these traces at scale |
in this paper we design a meta-algorithm that allows us to take any robust algorithm for exact | submodular | monotone submodular | in this paper we design a meta-algorithm that allows us to take any robust algorithm for exact submodular maximization as a black box and transform it into an algorithm for the noisy setting while retaining the approximation guarantee |
our experiments agree excellently with 2d band | structure | nonlinear optical | our experiments agree excellently with 2d band structure calculations and with 2d finite-difference time-domain simulations confirming that our experimental methods truly pertain to nanophotonics in 2d |
photonic band-gap crystals radically modulate the rldos thereby controlling | spontaneous | photonic circuits | photonic band-gap crystals radically modulate the rldos thereby controlling spontaneous emission |
in this latter case the best known algorithm due to azar and jacob-fanani has competitiveness | mathcal | online algorithm | in this latter case the best known algorithm due to azar and jacob-fanani has competitiveness mathcal o m 0 |
here we present an information-theoretic framework to identify the most important correlations which provide the most | accurate | neural networks | here we present an information-theoretic framework to identify the most important correlations which provide the most accurate predictions of neural states |
we demonstrate that the treatment effects of interest can be consistently | estimated | average treatment effect | we demonstrate that the treatment effects of interest can be consistently estimated using ordinary least squares with an appropriately specified working model and transformed regressors |
we adapt a pre-trained vision-language-action vla model open-vla for dexterous human-robot collaboration with minimal | language | vision-language models vlms | we adapt a pre-trained vision-language-action vla model open-vla for dexterous human-robot collaboration with minimal language prompting |
in challenging tasks requiring active information seeking only meta-rl with predictive modules successfully learns optimal representations and | policies | continual learning | in challenging tasks requiring active information seeking only meta-rl with predictive modules successfully learns optimal representations and policies whereas conventional meta-rl struggles with inadequate representation learning |
the results indicate the potential of deep neural network based observer to enable personalized and adaptive | autonomous | autonomous driving | the results indicate the potential of deep neural network based observer to enable personalized and adaptive autonomous vehicle control |
urban science has largely relied on universal models rendering the heterogeneous and locally specific nature of | cities | urban systems | urban science has largely relied on universal models rendering the heterogeneous and locally specific nature of cities effectively invisible |
however in biological brains structural plasticity - where new | connections | continual learning | however in biological brains structural plasticity - where new connections are created and others removed - is also vital not only for effective learning but also for recovery from damage and optimal resource usage |
we study the telephone broadcasting problem in | sparse | regular graphs | we study the telephone broadcasting problem in sparse graphs |
while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography | eeg | human brain | while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography eeg offers a temporally precise and scalable approach to capture the fast oscillatory dynamics that underlie spontaneous neural organization |
orbit offers a standardized evaluation framework of public datasets with reproducible splits and transparent settings for its | public | data curation | orbit offers a standardized evaluation framework of public datasets with reproducible splits and transparent settings for its public leaderboard |
nearest neighbor matching as least squares density ratio estimation and | riesz | riesz regression | nearest neighbor matching as least squares density ratio estimation and riesz regression |
moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual | patterns | fmri data | moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual patterns and brain functions |
this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical | complexity | quantum key distribution | this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical complexity without jeopardizing security |
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