prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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experimental results show that our method reconstructs the intrinsic | motion | optical flow | experimental results show that our method reconstructs the intrinsic motion hierarchy in 1d and 2d cases and produces more realistic and interpretable deformations compared to the baseline on dynamic 3d gaussian splatting scenes |
imbalanced data where the positive samples represent only a small proportion compared to the negative samples makes it challenging for classification problems to balance the false positive and false | negative | imbalanced data | imbalanced data where the positive samples represent only a small proportion compared to the negative samples makes it challenging for classification problems to balance the false positive and false negative rates |
here we present an information-theoretic framework to identify the most important | correlations | fmri data | here we present an information-theoretic framework to identify the most important correlations which provide the most accurate predictions of neural states |
cole gottlieb and lewenstein stoc 2004 proposed k -errata | trees | -errata trees | cole gottlieb and lewenstein stoc 2004 proposed k -errata trees a family of text indexes supporting approximate pattern matching queries of several types |
by uniting researchers policymakers industry practitioners and community advocates we aim to identify shared challenges in online | safety | online safety | by uniting researchers policymakers industry practitioners and community advocates we aim to identify shared challenges in online safety research highlight gaps in current knowledge and establish common research priorities |
we introduce debate2create d2c a framework in which large | language | large language | we introduce debate2create d2c a framework in which large language model llm agents engage in a structured dialectical debate to jointly optimize a robot s design and its reward function |
we study the convergence of off-policy td 0 with linear function approximation when used to approximate the expected discounted | reward | reinforcement learning | we study the convergence of off-policy td 0 with linear function approximation when used to approximate the expected discounted reward in a markov chain |
this result unifies prior approaches and shows that essentially all efficient suffix | array | suffix array | this result unifies prior approaches and shows that essentially all efficient suffix array representations can be expressed via prefix-select structures |
distributed quantum computing dqc provides a promising route toward scalable quantum | computation | quantum computing | distributed quantum computing dqc provides a promising route toward scalable quantum computation where entanglement-assisted locc and circuit knitting represent two complementary approaches |
hybrid dqn-td3 reinforcement learning for autonomous navigation in | dynamic | reinforcement learning | hybrid dqn-td3 reinforcement learning for autonomous navigation in dynamic environments |
this paper develops a risk-adjusted alternative to standard optimal policy learning opl for observational data by importing roy s 1952 safety-first principle into the treatment | assignment | treatment assignment | this paper develops a risk-adjusted alternative to standard optimal policy learning opl for observational data by importing roy s 1952 safety-first principle into the treatment assignment problem |
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 | multi-organ segmentation | 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 |
the picard-lagrange framework for higher-order langevin | monte | monte carlo | the picard-lagrange framework for higher-order langevin monte carlo |
through sed fitting we determine the luminosities of these | quasars | quiescent galaxies | through sed fitting we determine the luminosities of these quasars and find that their dust torus sizes follow the established r_ dust -l_ agn relation reported in previous studies |
statistical analysis of these silver datasets shows that six discourse relations namely cause purpose contrast | cause | pragmatic theories | statistical analysis of these silver datasets shows that six discourse relations namely cause purpose contrast cause belief concession and condition play a crucial role in persuasive texts especially in the use of loaded language exaggeration minimisation repetition and to cast doubt |
tailoring reproducing kernels for optimal | control | control systems | tailoring reproducing kernels for optimal control via policy iteration |
we provide a detailed structural description along with an abstract model of this | data | data structure | we provide a detailed structural description along with an abstract model of this data structure |
these associations are recorded in combinatorial neural codes motivating the following mathematical question which neural | codes | neural codes | these associations are recorded in combinatorial neural codes motivating the following mathematical question which neural codes are generated by a collection of convex open sets in euclidean space |
allowing the order of quantum operations to exist in superposition is known to | open | quantum channels | allowing the order of quantum operations to exist in superposition is known to open new routes for thermodynamic tasks |
extensions to longitudinal data dynamic treatment regimes and multiplicative | instrumental | instrumental variable | extensions to longitudinal data dynamic treatment regimes and multiplicative instrumental variables are further developed |
this work lays out the architectural blueprint for extending hpcqc integration to support pulse-level quantum | operations | quantum computing | this work lays out the architectural blueprint for extending hpcqc integration to support pulse-level quantum operations without disrupting state-of-the-art classical workflows |
this study presents a promising step toward a more flexible and integrated real-time traffic incident | detection | incident detection | this study presents a promising step toward a more flexible and integrated real-time traffic incident detection system with significant implications for the operational efficiency and responsiveness of modern transportation management |
while autonomous racing performance in time-trial scenarios has seen significant progress and development | autonomous | autonomous driving | 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 |
such simulations -- for which classical methods are often inaccurate -- are critical to advancing our knowledge and understanding of | quantum | quantum technologies | such simulations -- for which classical methods are often inaccurate -- are critical to advancing our knowledge and understanding of quantum chemistry and materials underpinning a wide range of fields from biochemistry to clean-energy technologies and chemical synthesis |
2023 shows that nn matching is an instance of density-ratio | estimation | density-ratio estimation | 2023 shows that nn matching is an instance of density-ratio estimation with their new density-ratio estimator |
to enhance the interaction between the global and | local | cross dual encoder network | to enhance the interaction between the global and local encoders a symmetric cross-attention module is proposed across all layers of the encoders to fuse and refine features |
the prompts are collaboratively optimized via traditional | federated | prompt tuning | the prompts are collaboratively optimized via traditional federated averaging technique on the same |
we characterize the properties of the categorical | fisher | fisher information | we characterize the properties of the categorical fisher information showing that its eigenvectors give the most discriminant directions at each point of the projection space |
this work advances this vision by identifying the fundamental principles of human ai | collaboration | human-ai interaction | this work advances this vision by identifying the fundamental principles of human ai collaboration within uncertainty quantification a key component of reliable decision making |
the focus is on the mathematical description of these interactions and their role in deriving differential | systems | transient dynamics | the focus is on the mathematical description of these interactions and their role in deriving differential systems that describe the aforementioned dynamics |
we adapt the cross-validated log likelihood cvll function to simultaneously select the order of the prewhitening | vector | vector autoregression | we adapt the cross-validated log likelihood cvll function to simultaneously select the order of the prewhitening vector autoregression var and the bandwidth |
a central transmitter equipped with a spontaneous parametric down-conversion spdc source emits time-energy entangled photon pairs directing user photons toward spatially defined grids based on estimated user positions while retaining reference | photons | optical communication | a central transmitter equipped with a spontaneous parametric down-conversion spdc source emits time-energy entangled photon pairs directing user photons toward spatially defined grids based on estimated user positions while retaining reference photons for timestamping |
from an ecological perspective the sign of the propagation speed determines the long-term outcome of competition between two species and thus plays a central role in predicting the success or failure of invasion of an alien | species | ecological interactions | from an ecological perspective the sign of the propagation speed determines the long-term outcome of competition between two species and thus plays a central role in predicting the success or failure of invasion of an alien species into habitats occupied by a native species |
to promote climate adaptation and mitigation it is crucial to understand stakeholder perspectives and knowledge gaps on land use and | climate | environmental change | to promote climate adaptation and mitigation it is crucial to understand stakeholder perspectives and knowledge gaps on land use and climate changes |
we consider populations evolving according to natural selection mutation and recombination and assume that the genomes of all or a representative | selection | evolutionary game | we consider populations evolving according to natural selection mutation and recombination and assume that the genomes of all or a representative selection of individuals are known |
overall we suggest that hvc ac-iii is entering the | galactic | active galactic | overall we suggest that hvc ac-iii is entering the galactic wim layer and being sculpted by ram pressure into a droplet-like morphology providing a valuable case for studying the structure formation turbulence origin and dynamic evolution of hvcs as well as the physical properties of the ambient medium |
we develop a novel bicriteria approximation algorithm and show a significant | reduction | -approximation algorithm | we develop a novel bicriteria approximation algorithm and show a significant reduction of medical deserts across states in the u |
finally we identify three distinct causal archetypes tightly coupled pattern-heterogeneous and workday-attenuated which map pathways from | causal | comorbidity networks | finally we identify three distinct causal archetypes tightly coupled pattern-heterogeneous and workday-attenuated which map pathways from causal diagnosis to intervention |
these subclumps exhibit parabolic morphologies consistent with ram-pressure-confined droplets with their heads tending to point toward the | galactic | star formation | these subclumps exhibit parabolic morphologies consistent with ram-pressure-confined droplets with their heads tending to point toward the galactic plane |
a multi-agent large language model framework to automatically assess performance of a clinical ai | triage | triage tool | a multi-agent large language model framework to automatically assess performance of a clinical ai triage tool |
using first-principles calculations we show that the resulting magneto-electric | coupling | magnetic anisotropy | using first-principles calculations we show that the resulting magneto-electric coupling alpha zz can be as large as 0 |
in this work we attempt to add robustness into existing region proposal network-deep convolutional neural | network | deep network | in this work we attempt to add robustness into existing region proposal network-deep convolutional neural network rpn-dcnn object detection networks through two distinct scene-based information fusion techniques |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | fault-tolerant quantum | designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum computing particularly for noisy intermediate-scale quantum nisq devices where circuit efficiency and resilience to errors are paramount |
comparison with exact quantum-mechanical results in one- and two-dimensional | models | quantum mechanics | comparison with exact quantum-mechanical results in one- and two-dimensional models demonstrates that it has a reasonably high accuracy similar to that reported for instanton theory in the symmetric case |
human activity recognition har via wi-fi channel state information csi presents a privacy-preserving contactless | sensing | activity recognition | human activity recognition har via wi-fi channel state information csi presents a privacy-preserving contactless sensing approach suitable for smart homes healthcare monitoring and mobile iot systems |
through state machine simulation we show that meta-rl with predictive modules consistently generates more interpretable representations that better approximate bayes-optimal belief states compared to conventional | meta-rl | reinforcement learning | through state machine simulation we show that meta-rl with predictive modules consistently generates more interpretable representations that better approximate bayes-optimal belief states compared to conventional meta-rl across a wide variety of tasks even when both achieve optimal policies |
transmission neural networks transnns proposed by gao and caines 2022 serve as both virus spread models over networks and | neural | neural network | transmission neural networks transnns proposed by gao and caines 2022 serve as both virus spread models over networks and neural network models with tuneable activation functions |
by developing generator-to-load carbon emission distribution factors through data-driven technique the analytical formulas for both average and marginal | carbon | carbon emissions | by developing generator-to-load carbon emission distribution factors through data-driven technique the analytical formulas for both average and marginal carbon emissions can be derived and integrated seamlessly into dc opf models as linear constraints |
key topological metrics including scale-free exponents estrada heterogeneity and assortativity reveal that both the speed and variability of | learning | scale-free networks | key topological metrics including scale-free exponents estrada heterogeneity and assortativity reveal that both the speed and variability of learning critically shape system rationality and network architecture |
jogs joint optimization of pose estimation and 3d | gaussian | pose estimation | jogs joint optimization of pose estimation and 3d gaussian splatting |
we evaluate its reasoning behavior across 12 dimensions including spatial geometric physical temporal and embodied | logic | reasoning tasks | we evaluate its reasoning behavior across 12 dimensions including spatial geometric physical temporal and embodied logic systematically characterizing both its strengths and failure modes |
although mean-field approximations are commonly invoked to simplify | disease | disease transmission | although mean-field approximations are commonly invoked to simplify disease forecasting on networks they fail to account for these correlations by assuming that infectious individuals are well-mixed within a population leading to inaccurate predictions of infection numbers over time |
to this end we introduce a new dataset covering a wide range of formal patterns of | reasoning | reasoning capabilities | to this end we introduce a new dataset covering a wide range of formal patterns of reasoning in both normative and epistemic domains while also incorporating non-formal cognitive factors that influence human reasoning |
twin-field quantum key distribution protocols security and | open | quantum correlations | twin-field quantum key distribution protocols security and open problems |
the authors developed a new forward kinematics-based | calibration | calibration plate | the authors developed a new forward kinematics-based calibration method using denavit-hartenberg convention and used the stewart platform tiger 66 |
together our results show that sparse input synergizes with sequence-generating dynamics providing both a mechanistic account of place cell sequences in the mammalian hippocampus and a simple inductive bias for reinforcement learning based on sparse egocentric inputs in | navigation | recurrent neural | together our results show that sparse input synergizes with sequence-generating dynamics providing both a mechanistic account of place cell sequences in the mammalian hippocampus and a simple inductive bias for reinforcement learning based on sparse egocentric inputs in navigation tasks |
josephson parametric devices are widely used in superconducting quantum | computing | super-heisenberg scaling | josephson parametric devices are widely used in superconducting quantum computing research but suffer from an inherent gain-bandwidth trade-off |
to address this issue we propose a learning-based | csi | channel estimation | 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 |
this entanglement biases conventional brain | encoding | neural representations | this entanglement biases conventional brain encoding analyses toward linguistically shallow features e |
44 and an additional 47 galaxies belonging to a | diffuse | milky way | 44 and an additional 47 galaxies belonging to a diffuse foreground structure at z 3 |
among tuning mechanisms all-optical coherent control stands out because it requires no material or geometric change enabling ultrafast low-energy interference-based modulation of | amplitude | coherent control | among tuning mechanisms all-optical coherent control stands out because it requires no material or geometric change enabling ultrafast low-energy interference-based modulation of amplitude phase and polarization in ultrathin devices |
to date such directional control has been achieved using | components | coherent control | to date such directional control has been achieved using components whose overall footprint is larger than the emission wavelength and often rely on lossy plasmonic components |
engineering atom-photon hybridization with density-modulated atomic | ensembles | single photons | engineering atom-photon hybridization with density-modulated atomic ensembles in coupled cavities |
overall our model provides a framework for investigating the importance of cognitive and | social | spatial structure | overall our model provides a framework for investigating the importance of cognitive and social structures in determining human-environment dynamics |
to address these issues this study introduces the | human-ai | ai assistance | to address these issues this study introduces the human-ai re synergy model hare-sm a conceptual framework that integrates ai-driven analysis with human oversight to improve requirements elicitation analysis and validation |
laplace noise user interference while retaining competitive | accuracy | high accuracy | laplace noise user interference while retaining competitive accuracy under matched conditions |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | quantum advantage | designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum computing particularly for noisy intermediate-scale quantum nisq devices where circuit efficiency and resilience to errors are paramount |
riesz regression covariate balancing dre and the matching estimator are methods for estimating the | balancing | covariate balancing | riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where riesz regression is essentially equivalent to dre in the ate context the matching estimator is a special case of dre and dre is in a dual relationship with covariate balancing |
through simulations we demonstrate and evaluate the efficacy of the proposed method in identifying important | covariates | covariate balancing | through simulations we demonstrate and evaluate the efficacy of the proposed method in identifying important covariates in the presence of non-gaussian model errors |
this paper presents a human-automation shared lane-changing control framework that preserves driver authority while allowing automated assistance to achieve stable maneuvers in the presence of | driver | collision avoidance | this paper presents a human-automation shared lane-changing control framework that preserves driver authority while allowing automated assistance to achieve stable maneuvers in the presence of driver s behavioral uncertainty |
this work presents a theoretical and numerical investigation of the symplectic gradient adjustment sga method and of a low-rank sga lrsga method for efficiently | solving | augmented lagrangian | this work presents a theoretical and numerical investigation of the symplectic gradient adjustment sga method and of a low-rank sga lrsga method for efficiently solving two-objective optimization problems in the framework of nash games |
this research provides an indication of potential advances in the exploration of all four fundamental aspects of tool usage enabling robots to master the intricate art of | tool | tool usage | this research provides an indication of potential advances in the exploration of all four fundamental aspects of tool usage enabling robots to master the intricate art of tool manipulation across diverse tasks |
the control design is integrated into the model via an optimal | control | optimal control | the control design is integrated into the model via an optimal control framework solved numerically using the forward backward sweep method enabling the exploration of intervention strategies on epidemic dynamics including infection prevalence hospitalization burden and the effective reproduction number |
these findings provide both mechanistic insights into neural computation and actionable principles for designing adaptive | ai | artificial intelligence | these findings provide both mechanistic insights into neural computation and actionable principles for designing adaptive ai systems |
to project the future of common biodiversity in these scenarios we translate these pressure changes into expected variations of abundances for all common bird and | butterfly | butterfly species | to project the future of common biodiversity in these scenarios we translate these pressure changes into expected variations of abundances for all common bird and butterfly species as well as for the multi-species indicators used to monitor common biodiversity status in europe |
using the next generation matrix method we derive an analytical expression for the basic | reproduction | reproduction number | using the next generation matrix method we derive an analytical expression for the basic reproduction number mathcal r_0 |
spatial-kinematic absorption models of the | circumgalactic | circumgalactic medium | spatial-kinematic absorption models of the circumgalactic medium |
we propose reasoning curriculum a simple two-stage curriculum that first elicits | reasoning | mathematical reasoning | 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 |
this variation is reflected as a bimodal split in the estimated route parameters indicating that for certain attributes commuters fall into two distinct | groups | human mobility | this variation is reflected as a bimodal split in the estimated route parameters indicating that for certain attributes commuters fall into two distinct groups with contrasting preference signs |
extensive experiments across five additional benchmarks math | reasoning | reasoning capabilities | extensive experiments across five additional benchmarks math reasoning code generation and question answering and various sota foundation models validate the broad applicability and robustness of our approach |
furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when | preference | preference optimization | furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when preference data is held constant |
3 we show this dependency is almost optimal to get a | poly | time complexity | 3 we show this dependency is almost optimal to get a poly n log lambda -time complexity |
in third-order nonlinear transport a voltage can be measured in response to the cube of a driving current as a result of the quantum | geometric | third-order nonlinear transport | in third-order nonlinear transport a voltage can be measured in response to the cube of a driving current as a result of the quantum geometric effects which has attracted tremendous attention |
additionally the refined annotation guidelines increase agreement among different | llm | large language models llms | additionally the refined annotation guidelines increase agreement among different llm models |
adaptive surrogate gradients for sequential reinforcement | learning | imitation learning | adaptive surrogate gradients for sequential reinforcement learning in spiking neural networks |
the dominant paradigm in machine learning is to assess model performance based on average loss across all samples in some | test | machine learning | the dominant paradigm in machine learning is to assess model performance based on average loss across all samples in some test set |
i argue that the classical lot hypothesis fodor 1975 is ruled out the version of lot that is best supported by empirical evidence is the nonclassical lot thesis that some neural representations mirror some of the structure of natural | language | large language models | i argue that the classical lot hypothesis fodor 1975 is ruled out the version of lot that is best supported by empirical evidence is the nonclassical lot thesis that some neural representations mirror some of the structure of natural language and represent in a language-like way yet they encode information nondigitally and are processed by ordinary nondigital and hence nonclassical neural computations that rely not only on syntactic structure but many other features |
results demonstrate that the gains in precision and | efficiency | efficiency bound | results demonstrate that the gains in precision and efficiency can be substantial |
this essay provides a critical overview of the | mathematical | statistical physics | this essay provides a critical overview of the mathematical kinetic theory of active particles which is used to model and study collective systems consisting of interacting living entities such as those involved in behavior and evolution |
a novel two-stage optimization approach mitigates numerical issues | arising | optimization problem | a novel two-stage optimization approach mitigates numerical issues arising from the structure of the resulting optimal control problem |
additionally the dynamics features the periodic transfer of the spin to the maximally stretched state starting from a | superposition | quantum mechanics | additionally the dynamics features the periodic transfer of the spin to the maximally stretched state starting from a superposition state |
the growing integration of artificial intelligence ai into human cognition raises a fundamental question does ai merely | improve | ai systems | 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 |
the simulations include detailed modeling of star formation | chemical | stellar mass | the simulations include detailed modeling of star formation chemical enrichment and supernova feedback using the textsc celib and textsc grackle libraries achieving baryonic resolutions of sim2 times10 3 m_ odot |
we propose digitized counterdiabatic quantum sampling dcqs a hybrid quantum-classical | algorithm | quantum algorithm | we propose digitized counterdiabatic quantum sampling dcqs a hybrid quantum-classical algorithm for efficient sampling from energy-based models such as low-temperature boltzmann distributions |
however as typical to any quantum resource network | nonlocality | quantum coherence | however as typical to any quantum resource network nonlocality is also vulnerable to environmental noise which sometimes prove to be detrimental |
to fill this gap via an iterative and deductive process we develop the interaction-augmented instruction iai model a compact entity-relation graph formalizing how the combination of interactions and | text | generative ai | to fill this gap via an iterative and deductive process we develop the interaction-augmented instruction iai model a compact entity-relation graph formalizing how the combination of interactions and text prompts enhances human-generative ai communication |
this paper introduces the trust-based optimization tbo a novel extension of the island model in evolutionary | computation | genetic algorithm | this paper introduces the trust-based optimization tbo a novel extension of the island model in evolutionary computation that replaces conventional periodic migrations with a flexible agent-driven interaction mechanism based on trust or reputation |
this paper introduces a stochastic optimal control framework to address these issues | simultaneously | inverse optimal | this paper introduces a stochastic optimal control framework to address these issues simultaneously without excessively conservative approximations |
we release baseline experiments and preprocessing | tools | extensive experiments | we release baseline experiments and preprocessing tools to facilitate adoption |
as a result srl enables small models to learn | challenging | reinforcement learning rl | as a result srl enables small models to learn challenging problems previously unlearnable by sft or rlvr |
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