prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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text network and behavioral data intermediate outputs mined analytical results and visualization artifacts -- through coordinated | agent | ai agents | text network and behavioral data intermediate outputs mined analytical results and visualization artifacts -- through coordinated agent flows |
to overcome the challenge this work suggests leveraging a multi-frequency | neural | deep learning | to overcome the challenge this work suggests leveraging a multi-frequency neural network named mfnn embedding prior physical knowledge into the network |
segmentation over complexity evaluating ensemble and hybrid approaches for | anomaly | anomaly detection | segmentation over complexity evaluating ensemble and hybrid approaches for anomaly detection in industrial time series |
during inference slideagent selectively activates | specialized | question answering | during inference slideagent selectively activates specialized agents for multi-level reasoning and integrates their outputs into coherent context-aware answers |
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet | flexible | cognitive science | more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and adaptive cognition |
our work significantly extends the existing results on the convergence of gd and sgd by guaranteeing that they apply to practical neural network settings and has the potential to unlock further exploration of | learning | deep learning | our work significantly extends the existing results on the convergence of gd and sgd by guaranteeing that they apply to practical neural network settings and has the potential to unlock further exploration of learning dynamics |
to this end we introduce a principled two-stage framework the first stage uses offline data to derive upper and lower bounds on value functions while the second incorporates these learned | bounds | lower bounds | to this end we introduce a principled two-stage framework the first stage uses offline data to derive upper and lower bounds on value functions while the second incorporates these learned bounds into online algorithms |
this work sharpens existing guarantees and advances the | theoretical | density-ratio estimation | this work sharpens existing guarantees and advances the theoretical understanding of divergence-based estimation |
simulating finite temperature phase transitions from | first-principles | phase transition | simulating finite temperature phase transitions from first-principles is computationally challenging |
the results highlight the potential of modeling in joint latent | representations | representation learning | the results highlight the potential of modeling in joint latent representations for addressing small data challenges |
this optical design naturally encodes depth into its depth-varying point spread functions psfs without requiring | complex | nonlinear optical | this optical design naturally encodes depth into its depth-varying point spread functions psfs without requiring complex diffractive or freeform elements |
in contrast both problems admit algorithms against oblivious adversaries that achieve operatorname | polylog | mathrm polylog | in contrast both problems admit algorithms against oblivious adversaries that achieve operatorname polylog n amortized update time behnezhad derakhshan hajiaghayi stein sudan focs 19 |
magnetic phase transitions between ordered phases are often understood on the basis of semi-classical | spin | hidden spin texture | magnetic phase transitions between ordered phases are often understood on the basis of semi-classical spin models |
in this work we present a fully unsupervised machine | learning | machine learning | in this work we present a fully unsupervised machine learning ml workflow that detects and classifies these defects directly from molecular dynamics 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 | brain activity | 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 |
the search space of gate sequences grows combinatorially and | handcrafted | -bit toffoli gates | the search space of gate sequences grows combinatorially and handcrafted templates often waste scarce qubit and depth budgets |
republican evolve in parallel and counterfactual distributions follow | parallel | parallel trends | republican evolve in parallel and counterfactual distributions follow parallel trajectories in the probability simplex |
a major goal of computational astrophysics is to simulate the milky way galaxy with sufficient | resolution | host galaxy | a major goal of computational astrophysics is to simulate the milky way galaxy with sufficient resolution down to individual stars |
when minimizing a variety of cost functions simultaneously using a formation planner with adaptive weights can reduce the | cost | optimal control | when minimizing a variety of cost functions simultaneously using a formation planner with adaptive weights can reduce the cost by 20-40 |
it also exhibits generalizable world-modeling abilities enabling spatiotemporally consistent | world | world models | it also exhibits generalizable world-modeling abilities enabling spatiotemporally consistent world exploration and open-world embodied manipulation across diverse scenarios and tasks |
unlike existing gaussian process-based approaches our method constructs an approximate posterior distribution using samples drawn from a | gaussian | gaussian process | unlike existing gaussian process-based approaches our method constructs an approximate posterior distribution using samples drawn from a gaussian process model fitted to the observed data which does not require any structural assumption about the underlying pde |
the approach leverages adversarial networks to model the complex dynamics of | tool | tool usage | the approach leverages adversarial networks to model the complex dynamics of tool and object manipulation as well as the aim of the manipulation task |
we first demonstrate how increasing photo-excited carrier | density | photoemission spectroscopy | we first demonstrate how increasing photo-excited carrier density leads to a redshift-blueshift crossover of excitons |
the cost function was designed to achieve a net energy saving by simultaneously minimizing aerodynamic drag and penalizing the actuation s | energy | energy consumption | the cost function was designed to achieve a net energy saving by simultaneously minimizing aerodynamic drag and penalizing the actuation s energy consumption |
through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience | environmental | ecological interactions | through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience environmental selection can naturally promote evolutionary strategies that generalize across environments and anticipate novel challenges |
we develop a structural framework for modeling and inferring | unobserved | causal effects | we develop a structural framework for modeling and inferring unobserved heterogeneity in dynamic panel-data models |
in this work we propose mossnet a novel mixture-of-state-space-experts architecture that emulates a linear multi-head | attention | vision-language models | in this work we propose mossnet a novel mixture-of-state-space-experts architecture that emulates a linear multi-head attention mha |
extensive experiments on real-world datasets | demonstrate | real-world datasets | extensive experiments on real-world datasets demonstrate that our methods outperform baseline approaches |
5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual | reasoning | multimodal reasoning | 5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual reasoning capabilities outperforming vanilla self-improvement by 3 |
high-speed generation processing and detection of polarization bell-states is therefore critical for | quantum | quantum emitters | high-speed generation processing and detection of polarization bell-states is therefore critical for quantum technology |
simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of | quantum | classical simulation | simulation of the time-dynamics of fermionic many-body systems has long been predicted to be one of the key applications of quantum computers |
taken together our analysis clarifies the trade-off between | action | vision-language-action vla | taken together our analysis clarifies the trade-off between action fine-tuning and the degradation of vl representations and highlights practical approaches to recover inherited vl capabilities |
efficiency without cognitive change evidence from human | interaction | ai use | efficiency without cognitive change evidence from human interaction with narrow ai systems |
to address this issue we propose a learning-based | csi | channel state information | to address this issue we propose a learning-based csi prediction framework that leverages temporal correlations in wireless channels to forecast future signal to interference plus noise ratio sinr values |
in this study we introduce a physics-informed operator learning approach by extending the resolution | independent | policy learning | in this study we introduce a physics-informed operator learning approach by extending the resolution independent neural operator rino framework to a fully data-free setup addressing both challenges simultaneously |
the results demonstrate consistent enhancements over traditional optimization techniques and competitive accuracy relative to current | deep | deep learning | the results demonstrate consistent enhancements over traditional optimization techniques and competitive accuracy relative to current deep learning models |
many post-hoc concept-based approaches have been introduced to | understand | existing methods | many post-hoc concept-based approaches have been introduced to understand their workings yet they are not always faithful to the model |
as an application we improve on the best-known characterization of the metric entropy of the sobolev ellipsoid and extend pinsker s sobolev theorem in two ways i to any bounded open domain in arbitrary finite dimension and ii by providing the second-order term in the asymptotic expansion of the | minimax | minimax risk | as an application we improve on the best-known characterization of the metric entropy of the sobolev ellipsoid and extend pinsker s sobolev theorem in two ways i to any bounded open domain in arbitrary finite dimension and ii by providing the second-order term in the asymptotic expansion of the minimax risk |
biological learning unfolds continuously in time yet most algorithmic models rely on discrete updates and separate | inference | continual learning | biological learning unfolds continuously in time yet most algorithmic models rely on discrete updates and separate inference and learning phases |
keywords small language models factual grounding directed | reasoning | ai systems | keywords small language models factual grounding directed reasoning fine-tuning model alignment cost-efficient ai |
we propose a taxonomy of data-efficient llm post-training methods covering data | selection | data curation | we propose a taxonomy of data-efficient llm post-training methods covering data selection data quality enhancement synthetic data generation data distillation and compression and self-evolving data ecosystems |
an audiovisual experiment with 14 participants was conducted using 15 | virtual | physical virtual | an audiovisual experiment with 14 participants was conducted using 15 virtual reality scenarios featuring a passing car |
this work represents the theoretical foundations of this cooperative | manipulation | robotic systems | this work represents the theoretical foundations of this cooperative manipulation control framework and thus the experiments are presented in an abstract way while giving pointers towards potential future applications |
therefore there may be a non-linear relationship between task performance and brain | activation | task performance | therefore there may be a non-linear relationship between task performance and brain activation if a full range of task performance is considered |
despite its original definition within the economic field the | genepy | correlation network | despite its original definition within the economic field the genepy can be easily applied and interpreted on a wide range of networks characterized by high spectral gap including monopartite and bipartite networks systems |
the first design yields a locally just-identified statistical model implying that all regular asymptotically linear estimators of the treatment effect share the same asymptotic variance equal to the trivial semiparametric | efficiency | efficiency bound | the first design yields a locally just-identified statistical model implying that all regular asymptotically linear estimators of the treatment effect share the same asymptotic variance equal to the trivial semiparametric efficiency bound |
01 pc for musca we will resolve magnetic field structures at scales necessary for understanding cloud fragmentation and star formation efficiency and the | roles | magnetic field | 01 pc for musca we will resolve magnetic field structures at scales necessary for understanding cloud fragmentation and star formation efficiency and the roles that magnetic fields play in these processes |
despite significant advancements in recent decades autonomous vehicles avs continue to face challenges in navigating certain traffic | scenarios | collision avoidance | despite significant advancements in recent decades autonomous vehicles avs continue to face challenges in navigating certain traffic scenarios where human drivers excel |
this overview of integrated information theory iit emphasizes iit s | consciousness-first | mutual information | this overview of integrated information theory iit emphasizes iit s consciousness-first approach to what exists |
the current advancements in beam shaping techniques their impact on the nanoparticle characteristics and their broader implications for scaling pulsed laser | ablation | ablation liquids | the current advancements in beam shaping techniques their impact on the nanoparticle characteristics and their broader implications for scaling pulsed laser ablation in liquids to meet industrial demands are highlighted offering a comprehensive perspective on the future of this dynamic field |
this study examines llms ability to infer user intent embedded in context-driven | prompts | context engineering | this study examines llms ability to infer user intent embedded in context-driven prompts and whether understanding implicature improves response generation |
based on these results we derive nn matching from | riesz | riesz regression | based on these results we derive nn matching from riesz regression |
however their success is tied to one core capability reliable | object | computer vision | however their success is tied to one core capability reliable object detection in complex and multimodal environments |
the sga method outperforms the gradient method by including | second-order | zeroth-order methods | the sga method outperforms the gradient method by including second-order mixed derivatives computed at each iterate which requires considerably larger computational effort |
our system achieves accuracy increases of at least 16 on the synthetic csi dataset 20 on the in-lab csi dataset and 17 on the in-the-wild | csi | csi dataset | our system achieves accuracy increases of at least 16 on the synthetic csi dataset 20 on the in-lab csi dataset and 17 on the in-the-wild csi dataset |
a robust trajectory tracking controller based on feedback linearization augmented with an lqr scheme compensates for the | platform | trajectory tracking | a robust trajectory tracking controller based on feedback linearization augmented with an lqr scheme compensates for the platform s nonlinear dynamics to achieve precise motion control |
purpose the purpose of this study was to determine if an ensemble of multiple llm | agents | llm agents | purpose the purpose of this study was to determine if an ensemble of multiple llm agents could be used collectively to provide a more reliable assessment of a pixel-based ai triage tool than a single llm |
monte carlo simulations demonstrate that the nonparametric approach exhibits lower bias and correctly identifies the absence of | boundaries | effect boundaries | monte carlo simulations demonstrate that the nonparametric approach exhibits lower bias and correctly identifies the absence of boundaries when none exist unlike parametric methods that may impose spurious spatial patterns |
the growing integration of artificial intelligence ai into human cognition raises a fundamental question does ai merely | improve | ai assistance | the growing integration of artificial intelligence ai into human cognition raises a fundamental question does ai merely improve efficiency or does it alter how we think |
we propose several setups for hierarchical control with options and derive practical algorithms following state-of-the-art | reinforcement | reinforcement learning | we propose several setups for hierarchical control with options and derive practical algorithms following state-of-the-art reinforcement learning techniques |
by leveraging multiple reconfigurable intelligent | surfaces | reconfigurable intelligent surface | by leveraging multiple reconfigurable intelligent surfaces riss and transceiver designs we engineer the ambient wireless propagation environment to emulate the operations of a cnn layer |
moreover the lack of interpretability in modal information selection further affects the reliability and consistency of | fusion | image fusion | moreover the lack of interpretability in modal information selection further affects the reliability and consistency of fusion results in complex scenarios |
in this study we propose estimating h_0 or equivalently the | propensity | propensity score | in this study we propose estimating h_0 or equivalently the propensity score e_0 by directly minimizing the prediction error of h_0 |
we study the problem of estimating the average treatment effect ate under sequentially adaptive | treatment | average treatment | we study the problem of estimating the average treatment effect ate under sequentially adaptive treatment assignment mechanisms |
our key insight is to reframe the offline policy | learning | reinforcement learning | our key insight is to reframe the offline policy learning problem by leveraging the textbf observed future of each expert trajectory |
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 | evolutionary game | 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 |
from the perspective of dynamical systems theory visual rivalry | offers | human cognition | from the perspective of dynamical systems theory visual rivalry offers an experimentally tractable window into the dynamical mechanisms governing perceptual awareness |
these results indicate that the privacy and helpfulness of | llm | llm responses | 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 |
using this framework we conduct a comprehensive evaluation of nine representative lvg models finding that while current methods perform well on basic visual and temporal aspects they struggle with inter-event consistency fine-grained | alignment | world models | using this framework we conduct a comprehensive evaluation of nine representative lvg models finding that while current methods perform well on basic visual and temporal aspects they struggle with inter-event consistency fine-grained alignment and high-level thematic adherence etc |
this framework enables the direct inclusion of complex physical and dynamic constraints such as nonlinear friction and | collision | collision avoidance | this framework enables the direct inclusion of complex physical and dynamic constraints such as nonlinear friction and collision avoidance for both payload and rope |
we propose reasoning curriculum a simple two-stage | curriculum | reasoning curriculum | we propose reasoning curriculum a simple two-stage curriculum that first elicits reasoning skills in pretraining-aligned domains such as math then adapts and refines these skills across other domains via joint rl |
here we present a systematic analysis of four | quasars | dwarf galaxies | here we present a systematic analysis of four quasars initially selected by their ks-band variability amplitudes in the vista variables in the v i a l actea survey vvv vvvx |
instead of sharing a global low-resolution space each part in our method - even small ones - is | generated | video generation | instead of sharing a global low-resolution space each part in our method - even small ones - is generated at full resolution enabling the synthesis of intricate details |
stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different | galactic | active galactic | stellar abundances of elements with production channels that are metallicity-dependent most notably aluminium have provided an empirical route for separating different galactic components |
long-horizon contact-rich bimanual manipulation presents a significant challenge requiring complex | coordination | manipulation ordering | long-horizon contact-rich bimanual manipulation presents a significant challenge requiring complex coordination involving a mixture of parallel execution and sequential collaboration between arms |
certification and classification of linear quantum | error | quantum algorithm | certification and classification of linear quantum error mitigation methods |
in this paper we propose a deep reinforcement | learning | deep reinforcement learning | in this paper we propose a deep reinforcement learning drl -based approach for dynamic beamforming and power allocation in isac systems |
a unified theory for causal inference direct | debiased | riesz regression | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
frequency-dependent selection also gives rise to prolonged parent-mutant coexistence in | complex | population genetics | frequency-dependent selection also gives rise to prolonged parent-mutant coexistence in complex communities a phenomenon absent in classical population genetics |
central to the approach is a computationally efficient and continuously differentiable condition for detecting | collisions | dynamic obstacles | central to the approach is a computationally efficient and continuously differentiable condition for detecting collisions with ellipsoidal obstacles |
the findings highlight the need for ethical and | educational | ai literacy | the findings highlight the need for ethical and educational frameworks that promote critical and autonomous thinking in an increasingly ai-augmented cognitive ecology |
in this paper we design a meta-algorithm that allows us to take any robust algorithm for exact | submodular | submodular maximization | 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 |
in summary this work advances the modeling of epidemics to a more local scope offering a more expressive tool for epidemiological research and public | health | disease transmission | in summary this work advances the modeling of epidemics to a more local scope offering a more expressive tool for epidemiological research and public health planning |
however the fundamental question of emph which problems with a | deterministic | randomized algorithm | however the fundamental question of emph which problems with a deterministic complexity of omega log n can be solved exponentially faster using randomization still remains wide open |
the usefulness of the method is demonstrated through an empirical application highlighting its | complementarity | existing methods | the usefulness of the method is demonstrated through an empirical application highlighting its complementarity to existing approaches |
the proposed carbon-aware opf model enables market operators to optimize | energy | carbon emissions | the proposed carbon-aware opf model enables market operators to optimize energy dispatch while reducing greenhouse gas emissions |
slim stochastic learning and inference in | overidentified | ate estimation | slim stochastic learning and inference in overidentified models |
given a complete point cloud of an articulated object we utilize a discrete haoi representation to model each | hand | vision-language-action vla | given a complete point cloud of an articulated object we utilize a discrete haoi representation to model each hand object interaction frame |
our main findings from simple human memory paradigms also generalize to a sequence completion task which more closely resembles the next-token | prediction | predictive processing | 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 |
this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical | complexity | quantum error correction | this approach demonstrates that robust self-testing and publicly verifiable quantum randomness can be achieved with minimal optical complexity without jeopardizing security |
moreover we demonstrate that when the interspecific competition coefficients differ significantly the outcome of | competition | weak competition | moreover we demonstrate that when the interspecific competition coefficients differ significantly the outcome of competition cannot be reversed by adjusting diffusion or growth rates |
bridging the gap between empirical welfare maximization and conditional average treatment effect estimation in | policy | policy evaluation | bridging the gap between empirical welfare maximization and conditional average treatment effect estimation in policy learning |
we also incorporate an action projection module that explicitly enforces per-time-slot | power | power allocation | we also incorporate an action projection module that explicitly enforces per-time-slot power budget constraints and antenna position constraints |
secondly our algorithm matches the trajectories and sensor measurements over time using the | predicted | predictive processing | secondly our algorithm matches the trajectories and sensor measurements over time using the predicted probabilities and reliabilities |
in this model informational change over time is fitted to an advection-diffusion | equation | stochastic differential | in this model informational change over time is fitted to an advection-diffusion equation a normal distribution with a time component |
understanding how these systems may be spatially distributed to optimise their collective potential is therefore of importance in both ecology and in collective | systems | evolutionary dynamics | understanding how these systems may be spatially distributed to optimise their collective potential is therefore of importance in both ecology and in collective systems design |
however existing approaches to multiclass calibration lack a notion of | distance | local calibration | however existing approaches to multiclass calibration lack a notion of distance among inputs which makes them vulnerable to proximity bias predictions in sparse regions of the feature space are systematically miscalibrated |
we also provide new data-driven control design methods in terms of | linear | predictive control | we also provide new data-driven control design methods in terms of linear matrix inequalities that complement the conditions for informativity |
in defense of the pre-test valid inference when testing violations of | parallel | parallel trends | in defense of the pre-test valid inference when testing violations of parallel trends for difference-in-differences |
moreover by simulation experiments on multiple products pricing and strategic classification applications we show practical performance of | zeroth-order | zeroth-order methods | moreover by simulation experiments on multiple products pricing and strategic classification applications we show practical performance of zeroth-order methods with various gradient estimators |
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