prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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bayesian inference provides principled uncertainty | quantification | uncertainty quantification | bayesian inference provides principled uncertainty quantification but is often limited by challenges of prior elicitation likelihood misspecification and computational burden |
we study the problem of estimating the average treatment effect ate under sequentially adaptive | treatment | treatment regimes | we study the problem of estimating the average treatment effect ate under sequentially adaptive treatment assignment mechanisms |
for maximal matching our techniques further allow us to establish a strong separation between the node-averaged complexity and worst-case complexity of maximal matching in regular | graphs | bipartite graphs | for maximal matching our techniques further allow us to establish a strong separation between the node-averaged complexity and worst-case complexity of maximal matching in regular graphs by showing that the former is only o 1 |
by contrast in the unconditional setting diffusion models succeed with only an l 2 bound on the | score | diffusion models | by contrast in the unconditional setting diffusion models succeed with only an l 2 bound on the score error |
in this model hassidim and singer 2017 design a 1-1 e -approximation algorithm for monotone submodular maximization subject to a cardinality constraint and huang et al 2022 design a 1-1 e 2 -approximation algorithm for monotone | submodular | submodular maximization | in this model hassidim and singer 2017 design a 1-1 e -approximation algorithm for monotone submodular maximization subject to a cardinality constraint and huang et al 2022 design a 1-1 e 2 -approximation algorithm for monotone submodular maximization subject to any arbitrary matroid constraint |
to address this challenge we propose a novel strategy called inference-aware policy optimization which modifies policy optimization to account for how the | policy | policy learning | to address this challenge we propose a novel strategy called inference-aware policy optimization which modifies policy optimization to account for how the policy will be evaluated downstream |
we study the emergence of quantum memory effects in a | spin-boson | memory effects | we study the emergence of quantum memory effects in a spin-boson system at finite temperature driven by an external time-periodic force |
to overcome this limitation we propose a planning-oriented isac pisac framework that reduces the sensing | uncertainty | autonomous driving | to overcome this limitation we propose a planning-oriented isac pisac framework that reduces the sensing uncertainty of planning-bottleneck obstacles and expands the safe navigable path for the ego-vehicle thereby bridging the gap between physical-layer optimization and motion-level planning |
estimating optimal dynamic treatment regimes via | sequential | dynamic treatment | estimating optimal dynamic treatment regimes via sequential randomized trials might face costly and ethical hurdles often necessitating the use of historical observational data |
while meta-reinforcement learning rl agents can attain near bayes-optimal | policies | reinforcement learning | while meta-reinforcement learning rl agents can attain near bayes-optimal policies they often fail to learn the compact interpretable bayes-optimal belief states |
star quasiconvexity an unified approach for linear | convergence | superlinear convergence | star quasiconvexity an unified approach for linear convergence of first-order methods beyond convexity |
we benchmark the method using mock datasets representative of high-galactic-latitude regions incorporating realistic | gaia | active galactic | we benchmark the method using mock datasets representative of high-galactic-latitude regions incorporating realistic gaia parallax uncertainties and polarization expected from the upcoming pasiphae survey |
our key insight is to repurpose 2d generative models for | panoramic | image generation | our key insight is to repurpose 2d generative models for panoramic perception of geometry textures and pbr materials |
first we consider the mle and propose an expectation maximization em | algorithm | machine learning | first we consider the mle and propose an expectation maximization em algorithm to compute it |
we find that the gaussian beams gouy phase not only plays a crucial role in the interaction but also enables straight-forward generation of valuable free-electron states including comb-shape spectra with similar amplitudes and | states | quantum technologies | we find that the gaussian beams gouy phase not only plays a crucial role in the interaction but also enables straight-forward generation of valuable free-electron states including comb-shape spectra with similar amplitudes and states with high degree of coherence |
enrichment from feedback is necessary to mix with the | inflowing | dense gas | enrichment from feedback is necessary to mix with the inflowing gas and allow it to glow in o vi |
this finding suggests researchers should prioritize the local gaussian | correlation | local gaussian | this finding suggests researchers should prioritize the local gaussian correlation network among negative tails |
securereviewer enhancing large language models for secure code | review | code review | securereviewer enhancing large language models for secure code review through secure-aware fine-tuning |
this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context | learning | reasoning curriculum | 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 |
however steam cracking is highly energy- and carbon-intensive | making | steam cracking | however steam cracking is highly energy- and carbon-intensive making its decarbonization a priority |
deep neural networks dnns have been used to model complex | optimization | minimax optimal | deep neural networks dnns have been used to model complex optimization problems in many applications yet have difficulty guaranteeing solution optimality and feasibility despite training on large datasets |
this further inspires a practical method that uses | variational | generative models | this further inspires a practical method that uses variational inference to recover these variables and leverages them to train reward models |
the widespread adoption of generative ai genai has introduced | new | ai use | the widespread adoption of generative ai genai has introduced new challenges in crowdsourced data collection particularly in survey-based research |
however in realistic materials where disorder scattering also contributes to nonlinear | transport | nonlinear transport | however in realistic materials where disorder scattering also contributes to nonlinear transport identifying the geometric mechanisms remains a challenge |
this paper introduce textbf infoflow a systematic framework that | tackles | context engineering | this paper introduce textbf infoflow a systematic framework that tackles this problem from three aspects |
furthermore we introduce vnia visual narrative intent alignment a | multimodal | multimodal reasoning | furthermore we introduce vnia visual narrative intent alignment a multimodal dataset specifically created to facilitate the development and evaluation of vlm steering techniques |
when subject to persistent environmental change the population adapts by utilising | mutations | climate change | when subject to persistent environmental change the population adapts by utilising mutations that allow it to track the changing environment |
this paper introduces stucksolver a novel large | language | vision-language models vlms | this paper introduces stucksolver a novel large language model llm driven recovery framework that enables avs to resolve immobilization scenarios through self-reasoning and or passenger-guided decision-making |
in this work we demonstrate an on-demand high fidelity 99 re-initialization of a quantum | dot | quantum dot | in this work we demonstrate an on-demand high fidelity 99 re-initialization of a quantum dot qubit out of a latched readout state |
one of the key problems we observed in our own efforts to this end is that a lot of duplicate data was being propagated and many low-level | data | data structure | one of the key problems we observed in our own efforts to this end is that a lot of duplicate data was being propagated and many low-level data structure operations were repeated a large number of times |
designing efficient quantum circuits is a central bottleneck to exploring the potential of quantum | computing | quantum computing | 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 |
we demonstrate this method in simulation and discuss how textit a priori understandings of obstacle risk can be directly incorporated into the safety filter to generate | safe | collision avoidance | we demonstrate this method in simulation and discuss how textit a priori understandings of obstacle risk can be directly incorporated into the safety filter to generate safe behaviors that are risk-aware |
quantum illumination with nonsimultaneous phase-insensitive coincidence measurements can provide jamming resilience compared to identical measurements for | classical | quantum technologies | quantum illumination with nonsimultaneous phase-insensitive coincidence measurements can provide jamming resilience compared to identical measurements for classical illumination |
compared with conventional subdural ecog electrodes the | lv-bci | electroencephalography eeg | compared with conventional subdural ecog electrodes the lv-bci shows superior signal stability and immunocompatibility |
in this paper we study the problem of continuous-time reinforcement | learning | reinforcement learning | in this paper we study the problem of continuous-time reinforcement learning where the unknown system dynamics are represented using nonlinear ordinary differential equations odes |
while our results are cleanest to state for the delta -regular case all our algorithms naturally generalize to nodes of any degree d delta in general | graphs | regular graphs | while our results are cleanest to state for the delta -regular case all our algorithms naturally generalize to nodes of any degree d delta in general graphs of maximum degree delta |
transfer learning which leverages relevant data-abundant source domains to assist learning in data-scarce | target | preference learning | transfer learning which leverages relevant data-abundant source domains to assist learning in data-scarce target domains has shown efficacy |
despite increasing academic interest and the large number of methods proposed in the literature recent benchmarks and evaluation studies demonstrated that no overall best anomaly detection methods exist when applied to very heterogeneous time | series | time series classification | despite increasing academic interest and the large number of methods proposed in the literature recent benchmarks and evaluation studies demonstrated that no overall best anomaly detection methods exist when applied to very heterogeneous time series datasets |
this work propose a new network formation model the vari-linear network which includes two core mechanisms exponential probabilistic growth and | vari-linear | network structures | this work propose a new network formation model the vari-linear network which includes two core mechanisms exponential probabilistic growth and vari-linear preferential attachment |
classical demographic theory predicts that volatility in growth should decline rapidly with | size | population size | classical demographic theory predicts that volatility in growth should decline rapidly with size due to the averaging effects of the law of large numbers |
the algorithm runs in o log sum_t n_t log m time and o | m | -time algorithm | the algorithm runs in o log sum_t n_t log m time and o m space independent of k |
for typical cortical stimuli tens of milliseconds this places the | functional | human brain | 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 |
experiments on real-world datasets support our theoretical findings and | demonstrate | real-world datasets | experiments on real-world datasets support our theoretical findings and demonstrate the practical advantages of our approach |
we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of llms weaknesses are unfixable by the current technologies and propose directions in the constructivist paradigm for the changes in education that ensure long-term advantages of | humans | artificial intelligence | we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of llms weaknesses are unfixable by the current technologies and propose directions in the constructivist paradigm for the changes in education that ensure long-term advantages of humans over ai tools |
the eeg microstate analysis was utilized to explore the relative variations in temporal parameters and brain | functional | functional connectivity | the eeg microstate analysis was utilized to explore the relative variations in temporal parameters and brain functional connectivity |
results demonstrated that a uav fleet size of 7 is sufficient for traffic monitoring with more than 60 of network-wide observation | uncertainty | optimal uav | results demonstrated that a uav fleet size of 7 is sufficient for traffic monitoring with more than 60 of network-wide observation uncertainty reduced |
virtual reality vr can create compelling experiences that evoke | presence | user experience | virtual reality vr can create compelling experiences that evoke presence the sense of being there |
we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of llms weaknesses are unfixable by the current technologies and propose directions in the constructivist paradigm for the changes in education that ensure long-term advantages of | humans | trustworthy ai | we highlight weaknesses of the current ai and especially of its llm-based core show that root causes of llms weaknesses are unfixable by the current technologies and propose directions in the constructivist paradigm for the changes in education that ensure long-term advantages of humans over ai tools |
this framework can be applied to policy evaluation using the panel data approach pda where we further establish inference for the | average | average treatment effect | this framework can be applied to policy evaluation using the panel data approach pda where we further establish inference for the average treatment effect |
this paper introduces autodeco a novel architecture that enables truly end-to-end generation by learning to control its own | decoding | sparse autoencoders | this paper introduces autodeco a novel architecture that enables truly end-to-end generation by learning to control its own decoding strategy |
artificial intelligence has advanced significantly through deep learning reinforcement learning and large language and | vision | artificial intelligence | artificial intelligence has advanced significantly through deep learning reinforcement learning and large language and vision models |
we further evaluate a range of strategies for aligning | visual | visual navigation | we further evaluate a range of strategies for aligning visual representations and introduce a simple yet effective method that mitigates degradation and yields improved generalization to out-of-distribution ood scenarios |
twin-field quantum key distribution tf-qkd has emerged as a potential protocol for long distance secure communication overcoming the rate-distance limitations of conventional quantum | key | quantum key distribution | twin-field quantum key distribution tf-qkd has emerged as a potential protocol for long distance secure communication overcoming the rate-distance limitations of conventional quantum key distribution without requiring trusted repeaters |
still linking the properties of primitive components to the | emergent | emergent behaviors | still linking the properties of primitive components to the emergent behavior of composite networks remains a key open challenge |
we quantify the dependence of magnetic fields on star formation | activity | star-forming region | we quantify the dependence of magnetic fields on star formation activity including both regular and starburst galaxies |
diffusion models have been successful in learning complex | data | diffusion models | diffusion models have been successful in learning complex data distributions |
in this work we investigate whether large language models llms can translate human natural language instructions into the internal symbolic representations that emerge during hierarchical | reinforcement | imitation learning | in this work we investigate whether large language models llms can translate human natural language instructions into the internal symbolic representations that emerge during hierarchical reinforcement learning |
the flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades echo-chamber reinforcement and | opinion | opinion dynamics | the flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades echo-chamber reinforcement and opinion polarization |
recent work has shown that different large | language | language models | recent work has shown that different large language models llms converge to similar and accurate input embedding representations for numbers |
these findings demonstrate the potential of ai | agents | ai literacy | these findings demonstrate the potential of ai agents to move beyond process partners toward colleagues that share intent strengthen group dynamics and collaborate with humans to advance ideas |
the resulting control law enables the quadrotor to follow its path despite internal and external | disturbances | control strategy | the resulting control law enables the quadrotor to follow its path despite internal and external disturbances with each subsystem allowed its own disturbance type for realism |
our results disaggregated by frequency of ai usage reveal limited overall productivity change highlighting the | productivity | task performance | our results disaggregated by frequency of ai usage reveal limited overall productivity change highlighting the productivity paradox in which developers become faster but do not necessarily create better software or feel more fulfilled |
this note introduces a unified theory for causal inference that integrates riesz regression covariate | balancing | riesz regression | this note introduces a unified theory for causal inference that integrates riesz regression covariate balancing density-ratio estimation dre targeted maximum likelihood estimation tmle and the matching estimator in average treatment effect ate estimation |
inspired by arcing current curve and the fourier decomposition analysis we create an adaptive activation function with super-expressiveness termed eas and a novel | network | neural network | inspired by arcing current curve and the fourier decomposition analysis we create an adaptive activation function with super-expressiveness termed eas and a novel network architecture with branch networks to help mfnn extract features with multiple frequencies |
despite decades of effort simulating individual | mobility | human mobility | despite decades of effort simulating individual mobility remains challenging because of its complex context-dependent and exploratory nature |
however when deployed in real-world scenarios such solutions typically face scalability issues and have to address practical requirements such as full access to original | datasets | real-world datasets | however when deployed in real-world scenarios such solutions typically face scalability issues and have to address practical requirements such as full access to original datasets and model |
this result unifies prior approaches and shows that essentially all efficient suffix | array | compressed indexing | this result unifies prior approaches and shows that essentially all efficient suffix array representations can be expressed via prefix-select structures |
the cost of simplicity how reducing eeg electrodes affects | source | electroencephalography eeg | the cost of simplicity how reducing eeg electrodes affects source localization and bci accuracy |
during massive star formation dense gas undergoes | chemical | stellar mass | during massive star formation dense gas undergoes chemical evolution producing both simple and complex organic molecules coms characteristic of hot molecular cores |
this neural approximation is embedded into the optimization model as a mixed-integer linear program milp enabling effective enforcement of operational | constraints | soft constraints | this neural approximation is embedded into the optimization model as a mixed-integer linear program milp enabling effective enforcement of operational constraints related to the first-stage decisions |
our framework combines existing 2d pose detectors and generative diffusion priors for sketch feature extraction with a feed-forward neural network for efficient 2d | pose | pose estimation | our framework combines existing 2d pose detectors and generative diffusion priors for sketch feature extraction with a feed-forward neural network for efficient 2d pose estimation |
this paper contributes to reduction of this gap by reporting on an extensive evaluation of the semi- automatization of framenet-like semantic annotation by the use of an llm-based semantic | role | natural language processing | this paper contributes to reduction of this gap by reporting on an extensive evaluation of the semi- automatization of framenet-like semantic annotation by the use of an llm-based semantic role labeler |
robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine | safe | obstacle avoidance | robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine safe actions |
while bounded rationality and network adaptation have been widely studied the role of heterogeneous learning | rates | learning rates | while bounded rationality and network adaptation have been widely studied the role of heterogeneous learning rates both at the agent and network levels remains under explored |
direct debiased machine learning via bregman | divergence | debiased machine | direct debiased machine learning via bregman divergence minimization |
to systematically analyze these challenges we introduce a taxonomy categorizing existing approaches by their theoretical foundations | architectural | existing methods | to systematically analyze these challenges we introduce a taxonomy categorizing existing approaches by their theoretical foundations architectural implementations and validation strategies |
waveguide-coupled photonic crystal cavities with a triangular cross section fabricated by angled etching are suitable to interface embedded color centers with flying | photonic | photonic circuits | waveguide-coupled photonic crystal cavities with a triangular cross section fabricated by angled etching are suitable to interface embedded color centers with flying photonic qubits in quantum information applications |
given the large-scale and nonlinear nature of the problem an improved quantum genetic algorithm iqga that integrates two customized operators is proposed to enhance neighbor searching and solution refinement thereby improving the observability of | uav | optimal uav | given the large-scale and nonlinear nature of the problem an improved quantum genetic algorithm iqga that integrates two customized operators is proposed to enhance neighbor searching and solution refinement thereby improving the observability of uav pairs |
to this end we introduce a new dataset covering a wide range of formal | patterns | mathematical reasoning | 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 |
a k-spine is essentially a path in the tree whose removal leaves only less-bushy | components | tree edit distance | a k-spine is essentially a path in the tree whose removal leaves only less-bushy components of a smaller pathwidth |
our results provide 2 mathcal o k n mathcal o 1 time and n | mathcal | online algorithm | our results provide 2 mathcal o k n mathcal o 1 time and n mathcal o 1 space algorithms for problems for which the existence of such algorithms was previously unknown |
large language models llms have seen rapid adoption for | tasks | language models | large language models llms have seen rapid adoption for tasks such as drafting emails summarizing meetings and answering health questions |
a flexible block-coordinate forward-backward | algorithm | gradient descent | a flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization |
it groups low-level perceptual features into high-level object representations stores those objects efficiently and compositionally in memory and supports human | reasoning | abstract representations | it groups low-level perceptual features into high-level object representations stores those objects efficiently and compositionally in memory and supports human reasoning about individual object instances |
the resulting problem is modeled as a markov decision process mdp and solved via the deep | reinforcement | deep reinforcement | the resulting problem is modeled as a markov decision process mdp and solved via the deep reinforcement learning drl method |
wigner negativity and genuine multipartite entanglement gme are key nonclassical | resources | quantum advantage | wigner negativity and genuine multipartite entanglement gme are key nonclassical resources that enable computational advantages and broader quantum-information tasks |
in this study we used a data-driven network approach to examine whether resting-state eeg connectivity | patterns | cognitive science | in this study we used a data-driven network approach to examine whether resting-state eeg connectivity patterns differentiate individuals according to their creative abilities |
in the multi-user downlink precoding enables the reuse of frequencies across spatially separated | users | uplink communication | in the multi-user downlink precoding enables the reuse of frequencies across spatially separated users greatly improving spectral efficiency |
a unified framework for spatial and temporal treatment effect | boundaries | spatial treatment | a unified framework for spatial and temporal treatment effect boundaries theory and identification |
furthermore we extend our analysis to a pair of | spins | s-o coupling | furthermore we extend our analysis to a pair of spins taking into account the dipole-dipole interactions between them |
specifically we introduce three graph data manifold learning modules that guide the condensed | graph | graph neural | specifically we introduce three graph data manifold learning modules that guide the condensed graph to lie within a smooth low-dimensional manifold with minimal class ambiguity thereby preserving the classification complexity reduction capability of gc and ensuring robust performance under universal adversarial attacks |
pose refinement is guided by a probabilistic lidar-based depth consistency term back-propagated through the | camera | pose estimation | pose refinement is guided by a probabilistic lidar-based depth consistency term back-propagated through the camera projection to tighten geometry-appearance coupling |
the joint transmit and pinching beamforming design for spectral efficiency se and energy | efficiency | spectral efficiency | the joint transmit and pinching beamforming design for spectral efficiency se and energy efficiency ee tradeoff in pinching-antenna systems pass is proposed |
these results indicate that the privacy and helpfulness of llm responses are often specific to individuals and proxy | llms | models llms | 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 |
the emergence of agentic artificial intelligence | ai | artificial intelligence | the emergence of agentic artificial intelligence ai is set to trigger a cambrian explosion of new kinds of personhood |
the eeg microstate analysis was utilized to explore the relative variations in temporal parameters and brain | functional | brain regions | the eeg microstate analysis was utilized to explore the relative variations in temporal parameters and brain functional connectivity |
as an illuminating spectral energy distribution | sed | spectral energy distribution | as an illuminating spectral energy distribution sed we used the most actual multiwavelength observations available for mrk 509 |
5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual | reasoning | reasoning curriculum | 5-4b models across visual reasoning tasks demonstrate that our methods consistently improve visual reasoning capabilities outperforming vanilla self-improvement by 3 |
collective systems that self-organise to maximise the group s ability to collect and distribute information can be successful in environments with high | spatial | social interactions | collective systems that self-organise to maximise the group s ability to collect and distribute information can be successful in environments with high spatial and temporal variation |
the current best quantum algorithm has the query complexity o n 7 4 which is an improvement over the trivial | bound | quantum error correction | the current best quantum algorithm has the query complexity o n 7 4 which is an improvement over the trivial bound o n 2 |
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