prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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moreover it generally outperforms existing | state-of-the-art | existing methods | moreover it generally outperforms existing state-of-the-art techniques from 5 to 20 |
this research presents a novel racing and | overtaking | autonomous driving | this research presents a novel racing and overtaking agent capable of learning to reliably navigate a track and overtake opponents in both simulation and reality |
to this end we call for the development of architectures capable of maintaining | structured | abstract representations | to this end we call for the development of architectures capable of maintaining structured perceptual representations as a step toward spatial world modelling in ai |
greenberger-horne-zeilinger ghz states play a central role in quantum computing and communication protocols as a typical | multipartite | multipartite entanglement | greenberger-horne-zeilinger ghz states play a central role in quantum computing and communication protocols as a typical multipartite entanglement resource |
our findings point toward future control applications and open new | avenues | temporal resolution | our findings point toward future control applications and open new avenues for probing the intrinsic temporal structure of neural activity |
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of | large | language models | self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large vision-language models lvlms where models explore and learn from successful trajectories iteratively |
however most existing llms and their benchmarks focus primarily on the knowledge dimension largely neglecting the evaluation of cultivation | capabilities | models llms | however most existing llms and their benchmarks focus primarily on the knowledge dimension largely neglecting the evaluation of cultivation capabilities that are essential for real-world educational scenarios |
finally we apply our bootstrap to construct a uniform confidence band for an invariant density within a certain class of | diffusion | diffusion models | finally we apply our bootstrap to construct a uniform confidence band for an invariant density within a certain class of diffusion processes |
in the past the voter model has been explicitly used to model the impact of propaganda on a dynamic interconnected population and certain factors have been identified that influence the behavior of | voters | swing voters | in the past the voter model has been explicitly used to model the impact of propaganda on a dynamic interconnected population and certain factors have been identified that influence the behavior of voters when under outside influence |
we show that at these stages the full spectral energy distribution - | x-ray | gamma -ray | we show that at these stages the full spectral energy distribution - x-ray spectra and uv optical photometry - is well described by a compact yet standard accretion disk the same disk which powers the x-rays at all times |
data-driven projection generation for efficiently solving heterogeneous quadratic | programming | dynamic programming | data-driven projection generation for efficiently solving heterogeneous quadratic programming problems |
we test the assumption that galaxies permanently quench when their central smbhs approach the limit imposed by the observed m_ rm bh | - | active galactic | we test the assumption that galaxies permanently quench when their central smbhs approach the limit imposed by the observed m_ rm bh - sigma_ star relation as a proxy of smbh disruptive feedback |
roboos-next a unified memory-based framework for lifelong scalable and robust | multi-robot | multi-robot collaboration | roboos-next a unified memory-based framework for lifelong scalable and robust multi-robot collaboration |
we apply inputdsa on recurrent neural networks rnns trained with deep reinforcement learning identifying that | high-performing | deep learning | we apply inputdsa on recurrent neural networks rnns trained with deep reinforcement learning identifying that high-performing networks are dynamically similar to one another while low-performing networks are more diverse |
work in multiparametric programming mp has shown that solutions to | quadratic | quadratic programming | work in multiparametric programming mp has shown that solutions to quadratic programs qp are piece-wise linear functions of the parameters and researchers have suggested leveraging this property to model mp-qp using nn with relu activation functions which also exhibit piecewise linear behaviour |
under regularity conditions we show that the minimax linear estimator is root- n consistent and asymptotically normal and we derive its | asymptotic | asymptotic normality | under regularity conditions we show that the minimax linear estimator is root- n consistent and asymptotically normal and we derive its asymptotic variance |
unlike previous studies that relied on filament orientations we directly utilize the three-dimensional | tidal | tidal field | unlike previous studies that relied on filament orientations we directly utilize the three-dimensional tidal field reconstructed from the galaxy distribution providing a physically defined reference frame for the analysis |
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 | 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 |
the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central question in neuroscience and | machine | neural networks | the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central question in neuroscience and machine learning |
we report a controlled colloidal synthesis of bi nanosheets with | tunable | colloidal synthesis | we report a controlled colloidal synthesis of bi nanosheets with tunable lateral sizes 0 |
narayanan and fujishige showed the existence of the principal partition sequence of a | submodular | -approximation algorithm | narayanan and fujishige showed the existence of the principal partition sequence of a submodular function a structure with numerous applications in areas such as clustering fast algorithms and approximation algorithms |
beam shaping techniques for pulsed laser ablation in | liquids | pulsed laser ablation liquids | beam shaping techniques for pulsed laser ablation in liquids unlocking tunable control of nanoparticle synthesis in liquids |
we make these assumptions explicit by developing conditions of construct validity | inspired | theoretical findings | we make these assumptions explicit by developing conditions of construct validity inspired by psychological measurement theory |
real-world experiments show that fare enables failure recovery across two different policy architectures enabling robust long-range | navigation | visual navigation | real-world experiments show that fare enables failure recovery across two different policy architectures enabling robust long-range navigation in complex environments |
anomaly detection is a fundamental task for time | series | time series | anomaly detection is a fundamental task for time series analytics with important implications for the downstream performance of many applications |
since the objective function is non-differentiable the max-min rate | problem | optimization problem | since the objective function is non-differentiable the max-min rate problem is difficult to solve |
we prove that combining diffusion models with an annealed variant of langevin | dynamics | diffusion models | we prove that combining diffusion models with an annealed variant of langevin dynamics achieves conditional sampling in polynomial time using merely an l 4 bound on the score error |
we consider the problem of adaptive control of a class of | feedback | linear control | we consider the problem of adaptive control of a class of feedback linearizable plants with matched parametric uncertainties whose states are accessible subject to state constraints which often arise due to safety considerations |
while the literature on grouped patterns in | panel | panel data | while the literature on grouped patterns in panel data analysis has received significant attention little to no results are available on testing for their presence |
simulations reveal diverse emergent behaviors such as prey dispersal and regrouping oscillatory | predation | ecological interactions | simulations reveal diverse emergent behaviors such as prey dispersal and regrouping oscillatory predation with collective defense and predator encirclement |
here we present phyloformer 2 the first likelihood-free | inference | phylogenetic diversity | here we present phyloformer 2 the first likelihood-free inference method for posterior distributions over phylogenies |
we consider the problem of adaptive control of a class of feedback linearizable plants with matched parametric uncertainties whose states are accessible subject to | state | predictive control | we consider the problem of adaptive control of a class of feedback linearizable plants with matched parametric uncertainties whose states are accessible subject to state constraints which often arise due to safety considerations |
nonlinear stacked intelligent surfaces for | wireless | wireless systems | nonlinear stacked intelligent surfaces for wireless systems |
effective decoupling of mutations and the resulting loss of biodiversity caused by | environmental | environmental change | effective decoupling of mutations and the resulting loss of biodiversity caused by environmental change |
generative artificial intelligence genai can aid | humans | ai assistance | generative artificial intelligence genai can aid humans in a wide range of tasks but its effectiveness critically depends on users being able to evaluate the accuracy of genai outputs and their own expertise |
this alignment anchors the reasoning of a judge large | language | language models | this alignment anchors the reasoning of a judge large language model llm in structured information and helps reduce the burden of regulatory interpretation and event parsing enabling a focus on the core reasoning step |
while numerous multi-object tracking algorithms exist they have not yet been applied to real-world isac with its challenges such as | clutter | multi-object tracking | while numerous multi-object tracking algorithms exist they have not yet been applied to real-world isac with its challenges such as clutter and non-optimal hardware |
magnetic phase transitions between ordered phases are often understood on the basis of semi-classical | spin | magnetic properties | magnetic phase transitions between ordered phases are often understood on the basis of semi-classical spin models |
consistent with this view we show that this u-shaped performance curve emerges when llms gpt-2 and llama variants are trained from scratch on two simple human memory paradigms simulating long-term and | short-term | working memory | consistent with this view we show that this u-shaped performance curve emerges when llms gpt-2 and llama variants are trained from scratch on two simple human memory paradigms simulating long-term and short-term memory demands |
this paper addresses the challenges of giving a | causal | causal effects | this paper addresses the challenges of giving a causal interpretation to vector autoregressions vars |
this stands in sharp contrast to maximal matching in regular | graphs | regular graphs | this stands in sharp contrast to maximal matching in regular graphs which requires some dependence on the number of nodes n or the degree delta |
with the rapid growth of autonomous vehicle technologies | effective | trajectory tracking | with the rapid growth of autonomous vehicle technologies effective path-tracking control has become a critical component in ensuring safety and efficiency in complex traffic scenarios |
these findings offer practical spectrum-aware guarantees for low-rank inverse | approximations | -approximation algorithm | these findings offer practical spectrum-aware guarantees for low-rank inverse approximations in noisy computational environments |
this paper develops a sensitivity analysis framework that transfers the | average | average treatment effect | this paper develops a sensitivity analysis framework that transfers the average total treatment effect atte from source data with a fully observed network to target data whose network is completely unknown |
in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for | computing | quantum algorithm | in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for computing two-time impurity correlation functions by combining the non-markovian quantum mpemba effect nmqmpe with a dynamical map-based framework for open quantum systems |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | quantum key distribution | 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 |
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible | network | neural network | 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 |
these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across | regions | cognitive neuroscience | these findings suggest that geometry and tuning encode brain-region- or model-family-specific signatures while linearly decodable information tends to be more globally shared across regions or models |
we further establish unconditional lower bounds demonstrating that the time and query complexities of our algorithms are optimal up to mathrm | polylog | polynomial time | we further establish unconditional lower bounds demonstrating that the time and query complexities of our algorithms are optimal up to mathrm polylog n factors hidden within the tilde o cdot notation below |
we provide the first multi-wavelength polarisation decomposed characterisation of the principal | modes | waveguide modes | we provide the first multi-wavelength polarisation decomposed characterisation of the principal modes of a photonic lantern |
the second was a hybrid approach that used the cnn as a feature extractor and then applied a support vector | machine | machine learning | the second was a hybrid approach that used the cnn as a feature extractor and then applied a support vector machine svm classifier |
this paper considers the problem of regression over distributions which is becoming increasingly important in | machine | machine learning | this paper considers the problem of regression over distributions which is becoming increasingly important in machine learning |
protected ion beam fabrication of two-dimensional transition metal dichalcogenides based | photonic | photonic circuits | protected ion beam fabrication of two-dimensional transition metal dichalcogenides based photonic devices |
in addition to bootstrap learning we incorporate offline | demonstrations | learning agents | in addition to bootstrap learning we incorporate offline demonstrations as well as a designed curriculum progressing from rigid proxies to deformables |
we prove that even if all coefficients of a are bounded by 8 deciding the feasibility of such integer | programs | integer programs | we prove that even if all coefficients of a are bounded by 8 deciding the feasibility of such integer programs is mathsf np -hard via a reduction from 3-sat |
text prompt is the most common way for human-generative ai | genai | generative ai | text prompt is the most common way for human-generative ai genai communication |
we present amo-bench an advanced mathematical | reasoning | reasoning curriculum | we present amo-bench an advanced mathematical reasoning benchmark with olympiad level or even higher difficulty comprising 50 human-crafted problems |
inspired by the structure and function of biological cognition this paper introduces the concept of neurocognitive-inspired | intelligence | artificial intelligence | inspired by the structure and function of biological cognition this paper introduces the concept of neurocognitive-inspired intelligence nii a hybrid approach that combines neuroscience cognitive science computer vision and ai to develop more general adaptive and robust intelligent systems capable of rapid learning lea... |
extended hjb equation for mean-variance stopping problem | vanishing | hjb equation | extended hjb equation for mean-variance stopping problem vanishing regularization method |
its time complexity is o m log l n log n where n is the size of the domain of mathcal i | m | time complexity | its time complexity is o m log l n log n where n is the size of the domain of mathcal i m is the number of nonzero instances of atomic roles in mathcal i and l is the number of distinct fuzzy values used in such instances plus 2 |
this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased | machine | machine learning | this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased machine learning |
ofdm is widely adopted in modern wireless | communication | wireless systems | ofdm is widely adopted in modern wireless communication systems but its power efficiency is limited by high envelope fluctuations |
quantum batteries qbs exploit collective quantum resources to surpass the limits of classical | energy | quantum walk | quantum batteries qbs exploit collective quantum resources to surpass the limits of classical energy storage and power delivery |
the evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex | systems | collective systems | the evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics |
we find that more massive smbhs have higher surface densities of non-rotating | molecular | molecular gas | we find that more massive smbhs have higher surface densities of non-rotating molecular gas within their sphere of influence |
overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary | visual | reasoning curriculum | overall they are not yet reliable as standalone zero-shot reasoners but exhibit encouraging signs as complementary visual engines alongside dedicated reasoning models |
our main contribution is a set of reductions and decompositions that transform dyck and | tree | tree edit | our main contribution is a set of reductions and decompositions that transform dyck and tree edit distance instances into efficiently maintainable string edit distance instances which can be approximated within a n o 1 factor in n o 1 update time |
we further find that he-xe systems host metallic and excitonic insulator phases at pressures nearly an order of magnitude lower than those required for pure helium offering a pathway to realize these exotic | quantum | quantum technologies | we further find that he-xe systems host metallic and excitonic insulator phases at pressures nearly an order of magnitude lower than those required for pure helium offering a pathway to realize these exotic quantum states experimentally |
we evaluate three convolutional neural network architectures of varying depth and complexity to | assess | neural network | we evaluate three convolutional neural network architectures of varying depth and complexity to assess their effectiveness for periocular recognition |
to optimize this trade-off we pose a non-convex joint ota power-control design and develop an efficient successive | convex | optimal power | to optimize this trade-off we pose a non-convex joint ota power-control design and develop an efficient successive convex approximation sca algorithm that requires only statistical csi at the base station |
this work demonstrates the feasibility of transforming | phylogenies | phylogenetic tree | this work demonstrates the feasibility of transforming phylogenies into gnn-compatible structures and highlights attention-based models as effective tools for detecting positive selection aiding genomic surveillance and variant prioritisation |
quantum stochastic gradient descent in its continuous-time limit based on the wigner formulation of | open | open quantum | quantum stochastic gradient descent in its continuous-time limit based on the wigner formulation of open quantum systems |
in this paper we unify the perspectives of stochastic processes and | reinforcement | policy learning | in this paper we unify the perspectives of stochastic processes and reinforcement learning through action-driven processes and illustrate their application to spiking neural networks |
when minimizing a variety of cost functions simultaneously using a formation planner with adaptive weights can reduce the | cost | cost function | when minimizing a variety of cost functions simultaneously using a formation planner with adaptive weights can reduce the cost by 20-40 |
pulse-level quantum programs can be fully described with only three low-level abstractions ports input output | channels | quantum mechanics | pulse-level quantum programs can be fully described with only three low-level abstractions ports input output channels frames reference signals and waveforms pulse envelopes |
here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into | stars | dense gas | here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into stars particularly in primordial environments |
in quantum networks after passing through noisy channels or information processing residual | states | entanglement entropy | in quantum networks after passing through noisy channels or information processing residual states may lack sufficient entanglement for further tasks yet they may retain hidden quantum resources that can be recycled |
the relationship between the already formed stellar mass in a galaxy and the gas reservoir of neutral atomic hydrogen is a key element in our understanding of how gas is turned into | stars | dense gas | the relationship between the already formed stellar mass in a galaxy and the gas reservoir of neutral atomic hydrogen is a key element in our understanding of how gas is turned into stars in galaxy haloes |
a single-loop first-order algorithm for linearly constrained | bilevel | bilevel optimization | a single-loop first-order algorithm for linearly constrained bilevel optimization |
we initiate this study by focusing on collective behaviors that change abruptly at certain | critical | critical numbers | we initiate this study by focusing on collective behaviors that change abruptly at certain critical numbers of individuals |
we conclude by discussing the relevance of our framework to scenarios where the nature of | social | human disturbance | we conclude by discussing the relevance of our framework to scenarios where the nature of social interactions is subject to external perturbations |
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 |
we develop a three-band microscopic model with spin-orbit coupled t_ 2g orbitals that reproduces the main features of the | ab | ab initio calculations | we develop a three-band microscopic model with spin-orbit coupled t_ 2g orbitals that reproduces the main features of the ab initio results |
s t -separating principal partition sequence of | submodular | monotone submodular | s t -separating principal partition sequence of submodular functions |
our recursive algorithm generates each spanning | tree | -time algorithm | our recursive algorithm generates each spanning tree in constant amortized time using o n 2 space |
variable projected augmented lagrangian methods for | generalized | augmented lagrangian | variable projected augmented lagrangian methods for generalized lasso problems |
top-class confidence class-wise calibration or utilize computationally challenging | variational | generative models | top-class confidence class-wise calibration or utilize computationally challenging variational formulations |
keywords small language models factual grounding directed | reasoning | large language models llms | keywords small language models factual grounding directed reasoning fine-tuning model alignment cost-efficient ai |
the minimum cardinality any subset of the | tree | tree edit distance | the minimum cardinality any subset of the tree s vertices must have so that all clusters of vertices further away than some l do not exceed a cardinality threshold |
the next generation consists of a random sample of all the offspring so that the population size remains fixed where the sampling is made according to a parameterized gibbs measure of the | fitness | population genetics | the next generation consists of a random sample of all the offspring so that the population size remains fixed where the sampling is made according to a parameterized gibbs measure of the fitness of the offspring |
when treatment effects are heterogeneous however such specifications generally fail to recover this | average | treatment effect | when treatment effects are heterogeneous however such specifications generally fail to recover this average effect |
adaptive inverse kinematics framework for learning variable-length tool | manipulation | robotic manipulation | adaptive inverse kinematics framework for learning variable-length tool manipulation in robotics |
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 | galaxy cgm | 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 |
using an argument based on schur functions we also show that the newly exhibited coherent | states | quantum coherence | using an argument based on schur functions we also show that the newly exhibited coherent states asymptotically minimize position-momentum uncertainty |
this evaluation is the first step to demonstrate the accuracy and efficiency of time | series | time series classification | this evaluation is the first step to demonstrate the accuracy and efficiency of time series classification algorithms for anomaly detection and represents a strong baseline that can then be used to guide the model selection step in general automl pipelines |
a unified theory for causal inference direct debiased machine | learning | causal effects | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
by synthesizing these perspectives our survey delivers a | clear | achieves state-of-the-art | by synthesizing these perspectives our survey delivers a clear roadmap of current capabilities open challenges and future opportunities |
we investigate whether large language models | llms | large language | we investigate whether large language models llms can act as in-context meta-learners for this task |
leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy | reinforcement | reward models | leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy reinforcement learning |
in this article we investigate codes with four maximal codewords showing that for many such codes convexity is characterized by the absence of local obstructions whereas for other such | codes | neural codes | in this article we investigate codes with four maximal codewords showing that for many such codes convexity is characterized by the absence of local obstructions whereas for other such codes convexity is characterized by the absence of local obstructions and a second type of obstruction a wheel |
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