prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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the model jointly predicts semantic segmentation and depth estimation giving richer spatial features for | planning | autonomous driving | the model jointly predicts semantic segmentation and depth estimation giving richer spatial features for planning and control |
this is an exponential improvement over previous results and only a polylogarithmic factor away from the | lower | lower bound | this is an exponential improvement over previous results and only a polylogarithmic factor away from the lower bound |
the conclusion reflects on the consequences of this form of social invisibility of ai for situated engagement with ai by everyday publics in the street and for public | trust | trustworthy ai | the conclusion reflects on the consequences of this form of social invisibility of ai for situated engagement with ai by everyday publics in the street and for public trust in urban governance |
yet an important question still remains are video models ready to serve as | zero-shot | vision-language models | yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual reasoning scenarios |
we present results from crocodile-dwarf a suite of cosmological zoom-in hydrodynamic simulations of isolated field dwarf galaxies with halo | masses | stellar mass | we present results from crocodile-dwarf a suite of cosmological zoom-in hydrodynamic simulations of isolated field dwarf galaxies with halo masses of sim10 10 m_ odot at z 0 performed with the textsc gadget4-osaka code |
interestingly for the trapped system a cat-like superposition state corresponds to maximum entanglement | entropy | entanglement entropy | interestingly for the trapped system a cat-like superposition state corresponds to maximum entanglement entropy below the transition highlighting the relevance of the present model for studying the effect of decoherence on intra-particle entanglement in the context of quantum information processing |
the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling nonlinear mappings between high-dimensional deep network features and semantic | patterns | fmri data | the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling nonlinear mappings between high-dimensional deep network features and semantic patterns encoded in the brain activity |
we conducted manual expert evaluation of observed | groups | collective action | we conducted manual expert evaluation of observed groups produced new manual annotations for relevant events pertaining to group behavior and extracted metrics relevant group formation |
we present a unified field-theoretic framework for the dynamics of activity and | connectivity | brain activity | we present a unified field-theoretic framework for the dynamics of activity and connectivity in interacting neuronal systems |
more importantly the thinking structure in this protocol can be further optimized through | reinforcement | reinforcement learning | more importantly the thinking structure in this protocol can be further optimized through reinforcement learning |
adapting pre-trained video generation models into controllable world models via latent actions is a promising step towards creating generalist | world | world models | adapting pre-trained video generation models into controllable world models via latent actions is a promising step towards creating generalist world models |
the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully | applied | quantum coherence | the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an algorithm with a tight query complexity for another problem |
we provide a theoretical analysis of the generalization ability of solving qps with projection matrices generated by | neural | reinforcement learning | we provide a theoretical analysis of the generalization ability of solving qps with projection matrices generated by neural networks |
our findings connect entanglement dissipation-enhanced | scaling | quantum walk | our findings connect entanglement dissipation-enhanced scaling laws and superabsorption outlining a pathway towards scalable quantum batteries offering practical quantum advantage |
these results confirm the effectiveness efficiency and robustness of our approach for low-resource domain | adaptation | llm post-training | these results confirm the effectiveness efficiency and robustness of our approach for low-resource domain adaptation of llms |
this manuscript revisits the essence of generative image fusion under the inspiration of human cognitive laws and proposes a novel infrared and visible image | fusion | multimodal reasoning | this manuscript revisits the essence of generative image fusion under the inspiration of human cognitive laws and proposes a novel infrared and visible image fusion method termed hclfuse |
this makes this approach limited to ordered | discrete | potential outcomes | this makes this approach limited to ordered discrete outcomes |
we prove certain monotonicity properties of the | optimal | optimal control | we prove certain monotonicity properties of the optimal policy in the state space mathcal s and identify classes of unreachable states |
nonparametric estimation of homogenized invariant measures from | multiscale | density estimation | nonparametric estimation of homogenized invariant measures from multiscale data via hermite expansion |
interest in the random order model rom leads us to initiate a study of utilizing random-order arrivals to extract | random | randomized algorithm | interest in the random order model rom leads us to initiate a study of utilizing random-order arrivals to extract random bits with the goal of de-randomizing algorithms |
in this paper we present the first systematic survey of data-efficient llm | post-training | llm raters | in this paper we present the first systematic survey of data-efficient llm post-training from a data-centric perspective |
leakage is especially harmful as it corrupts all subsequent syndrome | measurements | qubit readout | leakage is especially harmful as it corrupts all subsequent syndrome measurements and can spread to neighboring qubits |
we apply our method to variational quantum | algorithm | quantum error correction | we apply our method to variational quantum algorithm vqa ansatz design for molecular ground state estimation max-cut and image classification key challenges in near-term quantum computing |
compressed indexing is a powerful technique that enables efficient querying over data stored in | compressed | query complexity | compressed indexing is a powerful technique that enables efficient querying over data stored in compressed form significantly reducing memory usage and often accelerating computation |
bridging the gap between empirical welfare maximization and conditional average treatment effect estimation in | policy | policy learning | bridging the gap between empirical welfare maximization and conditional average treatment effect estimation in policy learning |
moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual | patterns | cognitive science | moreover we quantitatively interpret our components from a neuroscience perspective and analyze the associations between different visual patterns and brain functions |
this paper presents a comprehensive cross-platform evaluation of | reasoning | reasoning capabilities | this paper presents a comprehensive cross-platform evaluation of reasoning capabilities in contemporary foundation models establishing an infrastructure-agnostic benchmark across three computational paradigms hpc supercomputing marenostrum 5 cloud platforms nebius ai studio and university clusters a node with eight h20... |
these results demonstrate a direct link between lattice distortions and coulomb interactions in transition-metal dichalcogenides providing a microscopic mechanism for light-induced control of correlated phases in two-dimensional | quantum | quantum technologies | these results demonstrate a direct link between lattice distortions and coulomb interactions in transition-metal dichalcogenides providing a microscopic mechanism for light-induced control of correlated phases in two-dimensional quantum materials |
in this work we propose a new inferential framework for | autocorrelation | time-series experiments | in this work we propose a new inferential framework for autocorrelation in time series data under frequent mean shifts |
furthermore we also characterize quantum channels according to their ability in preserving quantum | resources | quantum advantage | furthermore we also characterize quantum channels according to their ability in preserving quantum resources i |
direct feedback alignment dfa enables local parallelizable updates with lower memory requirements but is limited by unstructured feedback and poor scalability in deeper architectures specially | convolutional | deep network | direct feedback alignment dfa enables local parallelizable updates with lower memory requirements but is limited by unstructured feedback and poor scalability in deeper architectures specially convolutional neural networks |
graph-theoretical mapping of resting-state | eeg | electroencephalography eeg | graph-theoretical mapping of resting-state eeg reveals neural signatures of creativity |
point convergence analysis of the accelerated | gradient | accelerated gradient | point convergence analysis of the accelerated gradient method for multiobjective optimization continuous and discrete |
experiments on synthetic and real-world datasets demonstrate that scmd effectively captures both structural and distributional differences between scms providing a practical tool to assess | causal | causal effects | experiments on synthetic and real-world datasets demonstrate that scmd effectively captures both structural and distributional differences between scms providing a practical tool to assess causal transferability and generalization difficulty |
in this paper we give sufficient conditions under which linear abstract | control | linear control | in this paper we give sufficient conditions under which linear abstract control systems for which the semigroup is analytic are stabilizable with a bounded feedback |
causal machine learning has emerged as a powerful tool for flexibly estimating | causal | causal inference | causal machine learning has emerged as a powerful tool for flexibly estimating causal effects from observational data in both industry and academia |
the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an | algorithm | open quantum | the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an algorithm with a tight query complexity for another problem |
reinforcement learning rl is widely used to produce robust robotic manipulation | policies | reinforcement learning | reinforcement learning rl is widely used to produce robust robotic manipulation policies but fine-tuning vision-language-action vla models with rl can be unstable due to inaccurate value estimates and sparse supervision at intermediate steps |
when inputs are held constant learning strength declines linearly as the delay between input and | error | continual learning | when inputs are held constant learning strength declines linearly as the delay between input and error approaches the stimulus duration explaining observed robustness and failure across network depths |
this paper provides a nonparametric framework for causal inference with | categorical | categorical outcomes | this paper provides a nonparametric framework for causal inference with categorical outcomes under binary treatment and binary instrument settings |
our simulations with fast transport mechanisms either diffusion or streaming are degenerate they each produce a lower | gamma | gamma -ray | our simulations with fast transport mechanisms either diffusion or streaming are degenerate they each produce a lower gamma -ray luminosity than slow transport simulations by two orders of magnitude |
this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical | complexity | fault-tolerant quantum | this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical complexity without jeopardizing security |
learning to defer uncertain predictions to costly experts offers a | powerful | machine learning | learning to defer uncertain predictions to costly experts offers a powerful strategy for improving the accuracy and efficiency of machine learning systems |
we propose a novel framework grounded in the hypothesis that | loss | gradient descent | we propose a novel framework grounded in the hypothesis that loss functions in real-world tasks swap from initial non-convexity to convexity towards the optimum |
however the neural mechanisms facilitating the | continual | recurrent neural | however the neural mechanisms facilitating the continual learning and flexible re- composition of skills remain elusive |
our results provide robust evidence that massive | etgs | dark matter | our results provide robust evidence that massive etgs have undergone significant kinematic evolution losing angular momentum as they evolve towards the present day consistent with theoretical models where processes such as dry mergers play a crucial role in shaping the dynamical state of galaxies |
a dynamic reasoning module refines predictions by combining global | scene | spatial reasoning | a dynamic reasoning module refines predictions by combining global scene cues and object-level interactions guided by linguistic priors |
trainium an ai accelerator recently developed by amazon web services aws provides an attractive option for llm training and | inference | llm inference | trainium an ai accelerator recently developed by amazon web services aws provides an attractive option for llm training and inference through its heterogeneous architecture |
here we extend evolutionary game theory to account for random changes in the | social | game theory | here we extend evolutionary game theory to account for random changes in the social environment so that mutual cooperation may bring different rewards today than it brings tomorrow for example |
for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in | biological | artificial neural | for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in biological circuits |
we present a lateral ventricular brain-computer interface lv-bci that deploys an expandable flexible | electrode | electroencephalography eeg | we present a lateral ventricular brain-computer interface lv-bci that deploys an expandable flexible electrode into the lateral ventricle through a minimally invasive external ventricular drainage pathway |
these artificial time variations enable opportunistic user | scheduling | resource allocation | these artificial time variations enable opportunistic user scheduling and exploitation of multiuser diversity under slow channel dynamics |
this work expands the operational range of kerr soliton microcombs from the terahertz to the sub-gigahertz domain opening new frontiers for | frequency | frequency combs | this work expands the operational range of kerr soliton microcombs from the terahertz to the sub-gigahertz domain opening new frontiers for frequency comb technologies |
user perceptions of privacy and helpfulness in | llm | llm reasoning | user perceptions of privacy and helpfulness in llm responses to privacy-sensitive scenarios |
in this work we demonstrate an on-demand high fidelity 99 re-initialization of a quantum dot qubit out of a latched | readout | qubit readout | in this work we demonstrate an on-demand high fidelity 99 re-initialization of a quantum dot qubit out of a latched readout state |
a two-step approach originally introduced for network reconstruction in which one first randomizes the structure then the weights with a suitable distribution restores scale invariance and allows us to conduct unbiased assessments of significance on | weighted | scale-free networks | a two-step approach originally introduced for network reconstruction in which one first randomizes the structure then the weights with a suitable distribution restores scale invariance and allows us to conduct unbiased assessments of significance on weighted networks |
in this work we address this main shortcoming by introducing a | local | local calibration | in this work we address this main shortcoming by introducing a local perspective on multiclass calibration |
building on this algorithm we next give a one-sided adaptive algorithm for this problem that does not need to be given the value of n and with high probability makes | tilde | query complexity | building on this algorithm we next give a one-sided adaptive algorithm for this problem that does not need to be given the value of n and with high probability makes tilde o log n epsilon samples and queries |
our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of | normative | normative reasoning | 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 |
the ewm approach is analogous to a classification problem where one first builds an estimator of the population welfare which is a functional of policy functions and then trains a | policy | policy learning | the ewm approach is analogous to a classification problem where one first builds an estimator of the population welfare which is a functional of policy functions and then trains a policy by maximizing the estimated welfare |
learning complex network dynamics is fundamental to understanding modelling and controlling real-world | complex | complex systems | learning complex network dynamics is fundamental to understanding modelling and controlling real-world complex systems |
all such methods require multiple applications of the operator | defining | augmented lagrangian | all such methods require multiple applications of the operator defining the forward problem and of its adjoint |
here we demonstrate that annealed population | heterogeneity | population genetics | here we demonstrate that annealed population heterogeneity wherein distinct individuals in the population experience different instances of a complex environment over time can act as a form of implicit regularization and facilitate evolutionary generalization |
in this two-paper series we present a straightforward mathematical model for synthesizing quasar absorption line profiles from sight lines through idealized spatial-kinematic models of the | circumgalactic | circumgalactic medium | in this two-paper series we present a straightforward mathematical model for synthesizing quasar absorption line profiles from sight lines through idealized spatial-kinematic models of the circumgalactic medium cgm and their host galaxies |
we further prove that no deterministic online algorithm can achieve a competitive | ratio | competitive ratio | we further prove that no deterministic online algorithm can achieve a competitive ratio bounded by 2 for the general cost optimization problem |
many believe that intracortical axons conduct signals too slowly to bring the contextual information from | receptive | neural representations | many believe that intracortical axons conduct signals too slowly to bring the contextual information from receptive fields of other neurons |
performance characteristics of the eight open-source models and consensus were | compared | open-source models | performance characteristics of the eight open-source models and consensus were compared to gpt-4o |
the latter is decomposed into individual and coupling costs with the distinctive feature that the | coupling | linear control | the latter is decomposed into individual and coupling costs with the distinctive feature that the coupling term is a pairwise interaction function between the controls |
here we develop a mathematical model which uses an optimisation framework to determine the higher-order spatial structure of a | collective | collective systems | here we develop a mathematical model which uses an optimisation framework to determine the higher-order spatial structure of a collective that optimises group-level knowledge transfer |
for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in | biological | brain decoding | for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in biological circuits |
meanwhile the resource allocation problem is solved using a successive convex | approximation | optimization problem | meanwhile the resource allocation problem is solved using a successive convex approximation sca -based algorithm |
we hope this work provides a practical and economically viable blueprint for transforming passive llms into | proactive | llm agents | we hope this work provides a practical and economically viable blueprint for transforming passive llms into proactive goal-oriented llm applications |
we hope the geometric view of parametric memory encourages revisiting the default intuitions that guide researchers in areas like | knowledge | reasoning capabilities | we hope the geometric view of parametric memory encourages revisiting the default intuitions that guide researchers in areas like knowledge acquisition capacity discovery and unlearning |
the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of reasoning | capabilities | reasoning tasks | the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of reasoning capabilities as foundation models evolve |
we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were | selected | stellar population | we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as active galaxies by optical spectroscopy infrared colors x-ray brightness and photometric variability |
a neural network framework for discovering closed-form solutions to | quadratic | quadratic programming | a neural network framework for discovering closed-form solutions to quadratic programs with linear constraints |
stakeholders generally perceive climate change impacts on ecosystem services as negative with natural | habitat | climate change | stakeholders generally perceive climate change impacts on ecosystem services as negative with natural habitat destruction and biodiversity loss identified as top issues |
for this problem we develop a direct debiased | machine | machine learning | for this problem we develop a direct debiased machine learning framework with an end-to-end algorithm |
yet it remains unclear which correlations -- and how many -- are needed to predict | large-scale | fmri data | yet it remains unclear which correlations -- and how many -- are needed to predict large-scale neural activity |
we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as active galaxies by optical | spectroscopy | host galaxy | we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as active galaxies by optical spectroscopy infrared colors x-ray brightness and photometric variability |
furthermore for specific pairs of models and riesz representer estimation methods we can automatically obtain the covariate balancing property without explicitly solving the covariate | balancing | covariate balancing | furthermore for specific pairs of models and riesz representer estimation methods we can automatically obtain the covariate balancing property without explicitly solving the covariate balancing objective |
when both the input and output bitstrings of a peaked circuit are unknown determining whether the circuit is | peaked | peaked circuits | when both the input and output bitstrings of a peaked circuit are unknown determining whether the circuit is peaked constitutes a qcma-complete problem meaning the problem remains hard even for a quantum polynomial-time machine under commonly accepted complexity assumptions |
starting with the dynamical system representing | collective | collective states | starting with the dynamical system representing collective states in terms of connections activity levels and internal frequencies we analyze its stability emphasizing the possibility of transitions between configurations |
our results indicate that although llms generally adhere to valid reasoning patterns they exhibit notable inconsistencies in specific types of normative | reasoning | mathematical reasoning | 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 |
recent alignment techniques such as reinforcement learning from human feedback have been widely adopted to align large | language | language models | recent alignment techniques such as reinforcement learning from human feedback have been widely adopted to align large language models with human preferences by learning and leveraging reward models |
our solution jointly optimizes the transmission | power | transmit power | our solution jointly optimizes the transmission power and the neural network split point |
the predominant climatic characteristic is temperature and the predominant | land | land use | the predominant climatic characteristic is temperature and the predominant land use characteristic is deforestation |
unifying regression-based and design-based | causal | causal effects | unifying regression-based and design-based causal inference in time-series experiments |
infoflow reinforcing search agent via reward | density | reinforcement learning | infoflow reinforcing search agent via reward density optimization |
evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future | environmental | climate change | evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future environmental changes |
a bandwise analysis shows that the hybrid approach leverages beamformer directivity at high frequencies and microphone cues at low | frequencies | beamforming design | a bandwise analysis shows that the hybrid approach leverages beamformer directivity at high frequencies and microphone cues at low frequencies outperforming either method alone across all bands |
this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context | learning | language models | this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context learning approach for tasks to understand implied meanings |
these results and the simplicity of the hcf-based system pave the way to a high-performance and scalable solution for ultra-stable | laser | pulsed laser ablation liquids | these results and the simplicity of the hcf-based system pave the way to a high-performance and scalable solution for ultra-stable laser sources |
perception learning a formal separation of sensory | representation | representation learning | perception learning a formal separation of sensory representation learning from decision learning |
simulation studies indicate that the proposed method performs favorably | compared | simulation studies | simulation studies indicate that the proposed method performs favorably compared to existing approaches |
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 | trustworthy ai | 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 |
scout a lightweight framework for scenario | coverage | scenario coverage | scout a lightweight framework for scenario coverage assessment in autonomous driving |
molecular dynamics md simulations were performed to investigate the influence of mechanical strain on irradiation-induced defect and dislocation evolution in nickel single crystals subjected to cumulative overlapping 5 kev collision | cascades | molecular dynamics | molecular dynamics md simulations were performed to investigate the influence of mechanical strain on irradiation-induced defect and dislocation evolution in nickel single crystals subjected to cumulative overlapping 5 kev collision cascades at 300 k |
moreover we derive an explicit expression for the | value | value function | moreover we derive an explicit expression for the value function by solving a system of differential equations |
instrumental variable methods are fundamental to | causal | instrumental variable | instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables |
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