prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
|---|---|---|---|
using the derived mathematical tools we assess the impact of these two control actions and determine the optimal | control | control strategies | using the derived mathematical tools we assess the impact of these two control actions and determine the optimal control policy |
additionally path estimates identify lighting augmentation density ar registration stability cognitive load and | ar | mobile ar | additionally path estimates identify lighting augmentation density ar registration stability cognitive load and ar familiarity as primary drivers |
in this paper we propose csi2q a novel csi fingerprinting system that | achieves | information csi | in this paper we propose csi2q a novel csi fingerprinting system that achieves comparable performance to iq-based approaches |
however causal inference from observational data relies on untestable | assumptions | causal effects | however causal inference from observational data relies on untestable assumptions about the data-generating process such as the absence of unobserved confounders |
during inference slideagent selectively activates | specialized | reasoning curriculum | during inference slideagent selectively activates specialized agents for multi-level reasoning and integrates their outputs into coherent context-aware answers |
yet it remains unclear which correlations -- and how many -- are needed to | predict | brain activity | yet it remains unclear which correlations -- and how many -- are needed to predict large-scale neural activity |
in decode we grow galaxies with their sfr linked to halo accretion rate distributions via | abundance | star clusters | in decode we grow galaxies with their sfr linked to halo accretion rate distributions via abundance matching |
a unified theory for causal inference direct | debiased | debiased machine learning | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
to compensate for a quasiperiodic disturbance a quasiperiodic | disturbance | bounded disturbances | to compensate for a quasiperiodic disturbance a quasiperiodic disturbance observer using time delays was proposed |
in terms of graph size we obtain a lower bound of 2 tilde | omega | omega log | in terms of graph size we obtain a lower bound of 2 tilde omega sqrt log log n |
for typical cortical stimuli tens of milliseconds this places the | functional | cognitive science | for typical cortical stimuli tens of milliseconds this places the functional plasticity window in the few-second range a testable prediction that identifies seconds-scale eligibility traces as necessary for error-driven learning in biological circuits |
we measure abundance ratios in 209 giant stars that are confirmed members of the smc providing the first extensive dataset of eu abundances in this galaxy across its full | metallicity | star formation rates | we measure abundance ratios in 209 giant stars that are confirmed members of the smc providing the first extensive dataset of eu abundances in this galaxy across its full metallicity range spanning more than 1 |
we first study how the boundary of the phase | transition | phase transition | we first study how the boundary of the phase transition is modified by non-linear exchange known to be present in spin-1 nanographenes using density matrix renormalization group dmrg |
the results show that the vari-linear network model maintains high fitting accuracy across | multiple | correlation network | the results show that the vari-linear network model maintains high fitting accuracy across multiple real-world networks of varying types and scales |
in such cases to ensure the human maintains an accurate understanding of | critical | artificial intelligence | in such cases to ensure the human maintains an accurate understanding of critical task elements an assistive agent must not only identify the highest priority information but also estimate how and when this information can be communicated most effectively given that human attention represents a zero-sum cognitive resou... |
inputdsa demixing then comparing recurrent and externally | driven | temporal resolution | inputdsa demixing then comparing recurrent and externally driven dynamics |
these results highlight a promising new role for | llms | large language models llms | these results highlight a promising new role for llms as lightweight general-purpose assistants for model selection and hyperparameter optimization |
we also prove for the first time the non-singularity of the gradient descent gd map on the loss landscape of realistic | neural | deep learning | we also prove for the first time the non-singularity of the gradient descent gd map on the loss landscape of realistic neural network architectures with fully connected convolutional or softmax attention layers and piecewise analytic activations which includes sigmoid relu leaky relu etc |
to account for uncertainty the underlying optimal | power | optimal power | to account for uncertainty the underlying optimal power flow opf routines have to be modified |
this improves both upon a folklore solution that attains the optimal | query | query time | this improves both upon a folklore solution that attains the optimal query complexity but requires omega n time and upon the only previously known sublinear-time property tester by chan golan kociumaka kopelowitz and porat with time complexity tilde o n sqrt k |
we begin by isolating a clean and analyzable instance of transformer | reasoning | reasoning capabilities | we begin by isolating a clean and analyzable instance of transformer reasoning that is incompatible with memory as strictly a storage of the local co-occurrences specified during training |
our findings reinforce the need for designing llm-based tools that more | clearly | proxy llms | our findings reinforce the need for designing llm-based tools that more clearly communicate their programming capabilities to users |
to address this gap we propose supervised | reinforcement | reinforcement learning rl | to address this gap we propose supervised reinforcement learning srl a framework that reformulates problem solving as generating a sequence of logical actions |
we further investigate the transition of the | ground | quantum dot | we further investigate the transition of the ground state in the presence of harmonic confinement which effectively models a quantum dot-like nanostructure under the influence of the environment |
porous microstructures while central to many functional materials remain difficult to characterize quantitatively by | atom | atomic force microscopy | porous microstructures while central to many functional materials remain difficult to characterize quantitatively by atom probe tomography apt |
to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance | observer | disturbance observer | to avoid repeated differentiation of states and virtual controls a first-order command filter is introduced and a nonlinear disturbance observer is added to provide disturbance estimates |
robotic systems navigating in real-world settings require a semantic understanding of their | environment | robotic systems | robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine safe actions |
this drive towards greater fidelity however conflicts with a simultaneous push towards greater model representation of inherent complexity in | decision | decision process | this drive towards greater fidelity however conflicts with a simultaneous push towards greater model representation of inherent complexity in decision making including methods like modelling to generate alternatives mga |
we consider a class of algorithms for this problem which is provably minimax | optimal | optimal transport | we consider a class of algorithms for this problem which is provably minimax optimal up to a constant factor |
structlayoutformer conditional structured | layout | layout generation | structlayoutformer conditional structured layout generation via structure serialization and disentanglement |
these results suggest that llms can serve as practical proxies for otherwise unrevealed human thinking | traces | thinking traces | these results suggest that llms can serve as practical proxies for otherwise unrevealed human thinking traces enabling label-only corpora to be extended into thinking-trace-augmented resources that enhance the reliability of llm raters |
for the latter we discover a nonstandard rate of n 1 4 log n -3 8 with a heavy-tailed stable | limit | asymptotic normality | for the latter we discover a nonstandard rate of n 1 4 log n -3 8 with a heavy-tailed stable limit distribution |
stellar-mass compact objects cos embedded in | active | star clusters | stellar-mass compact objects cos embedded in active galactic nucleus agn discs are commonly assumed to accrete via bondi or bondi-hoyle-lyttleton bhl prescriptions neglecting gas angular momentum |
certification and classification of linear quantum | error | quantum advantage | certification and classification of linear quantum error mitigation methods |
on the other hand reinforcement learning rl has recently shown potential in scaling up with simulations but is | typically | reinforcement learning | on the other hand reinforcement learning rl has recently shown potential in scaling up with simulations but is typically confined to low-dimensional symbolic inputs e |
in this paper we propose a deep reinforcement | learning | reinforcement learning | in this paper we propose a deep reinforcement learning drl -based approach for dynamic beamforming and power allocation in isac systems |
this ability is widely thought to be supported by expanding the dimensionality of | relevant | visual stimuli | this ability is widely thought to be supported by expanding the dimensionality of relevant neural codes such that neural representations for similar stimuli are maximally distinct or separated |
existing benchmarks for speech understanding largely rely on multiple-choice question | answering | question answering | existing benchmarks for speech understanding largely rely on multiple-choice question answering mcqa formats which are prone to failure and therefore unreliable in capturing the nuanced ways paralinguistic features influence model behaviour |
neural networks for ac optimal power flow | improving | power flow | neural networks for ac optimal power flow improving worst-case guarantees during training |
in the limited cases where ground truth is available through exact classical | simulation | quantum key distribution | in the limited cases where ground truth is available through exact classical simulation we find that it agrees with the results we obtain from the quantum device |
in many problems involving causal effects or structural models the parameters of interest depend on | regression | regression function | in many problems involving causal effects or structural models the parameters of interest depend on regression functions |
our analysis loosely favours local starburst | activity | galactic nuclei | our analysis loosely favours local starburst activity as the driver of the shocks and circumnuclear gas dynamics in ngc 7582 though the possibility of an agn jet contribution cannot be excluded |
existing stationarity tests either fail to account for long-memory processes or exhibit poor empirical size particularly near the boundary between | stationarity | time-series experiments | existing stationarity tests either fail to account for long-memory processes or exhibit poor empirical size particularly near the boundary between stationarity and nonstationarity |
instrumental variable methods are fundamental to | causal | causal inference | instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables |
lane changes are common yet challenging driving maneuvers that require continuous decision-making and | dynamic | collision avoidance | lane changes are common yet challenging driving maneuvers that require continuous decision-making and dynamic interaction with surrounding vehicles |
stabilizability with bounded feedback for analytic linear | control | optimal control | stabilizability with bounded feedback for analytic linear control systems |
applied to both synthetic and real spike-time data from rodent hippocampus our methods demonstrate superior accuracy and scalability compared to traditional binned glms enabling functional | connectivity | functional connectivity | applied to both synthetic and real spike-time data from rodent hippocampus our methods demonstrate superior accuracy and scalability compared to traditional binned glms enabling functional connectivity inference in large-scale neural recordings that are temporally precise on the order of synaptic dynamical timescales a... |
using analytical and numerical methods we characterized the conditions under which polarization consensus opinion changes and cyclic dynamics emerge depending on the costs of mitigation environmental damage and the factors influencing | opinion | opinion formation | using analytical and numerical methods we characterized the conditions under which polarization consensus opinion changes and cyclic dynamics emerge depending on the costs of mitigation environmental damage and the factors influencing opinion formation |
in this paper we study the truncated random | return | truncated random return | in this paper we study the truncated random return in the distributional lqr |
we further use the tools we develop to explore a wealth of | related | solution discovery | we further use the tools we develop to explore a wealth of related tasks |
we propose geometrically-regularized world models grwm which enforces that consecutive points along a natural sensory trajectory remain close in latent | representation | world models | we propose geometrically-regularized world models grwm which enforces that consecutive points along a natural sensory trajectory remain close in latent representation space |
including our target star-forming galaxies at z 6 detected by alma are generally very | young | stellar population | including our target star-forming galaxies at z 6 detected by alma are generally very young but more massive and brighter in uv than galaxies identified by only jwst |
such an approach does not require full access to the original dataset or the model addressing the challenges of | existing | existing methods | such an approach does not require full access to the original dataset or the model addressing the challenges of existing methods |
cluster 1 characterized by consistently higher performance across multiple creativity variables icaa dat mapt and sr showed broad alpha-band hypoconnectivity relatively preserved left frontal | connectivity | brain regions | cluster 1 characterized by consistently higher performance across multiple creativity variables icaa dat mapt and sr showed broad alpha-band hypoconnectivity relatively preserved left frontal connectivity and greater network modularity |
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit | correlations | quantum mechanics | bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum resources that are impossible if they can only use classical resources |
instrumental variable methods are fundamental to causal inference when treatment | assignment | treatment assignment | instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables |
this learned geometric knowledge can then be distilled to perform generalized | tool | tool usage | this learned geometric knowledge can then be distilled to perform generalized tool usage tasks by selecting and using the best available real-world object as tool |
this combined approach of pmma encapsulation and xef2-assisted fib patterning offers a robust cost-effective and scalable single-step fabrication route for integrating 2d tmdcs into high-performance | photonic | photonic devices | this combined approach of pmma encapsulation and xef2-assisted fib patterning offers a robust cost-effective and scalable single-step fabrication route for integrating 2d tmdcs into high-performance photonic devices thereby maintaining their intrinsic optical functionality essential for advancing quantum technologies a... |
in this work we investigate within density functional theory the properties of the hidden | spin | hidden spin texture | in this work we investigate within density functional theory the properties of the hidden spin texture and spin-layer segregation in a prototype centrosymmetric dichalcogenide-monolayer material using an electric-field-based method |
this work represents the theoretical foundations of this cooperative | manipulation | multi-robot collaboration | this work represents the theoretical foundations of this cooperative manipulation control framework and thus the experiments are presented in an abstract way while giving pointers towards potential future applications |
we demonstrate the capabilities of this laser-arpes system by investigating several prototypical materials showcasing its potential for elucidating complex phenomena in | quantum | quantum technologies | we demonstrate the capabilities of this laser-arpes system by investigating several prototypical materials showcasing its potential for elucidating complex phenomena in quantum materials |
consequently each iteration has a computational cost that is proportional to the number of spatial degrees of freedom producing a scalable method that preserves the established strong | convergence | convergence rate | consequently each iteration has a computational cost that is proportional to the number of spatial degrees of freedom producing a scalable method that preserves the established strong convergence rates |
we further develop an optional second-order refinement and inference procedures based on random scaling and plug-in methods including plug-in | debiased | debiased machine learning | we further develop an optional second-order refinement and inference procedures based on random scaling and plug-in methods including plug-in debiased plug-in and online versions of the sargan--hansen j -test tailored to stochastic learning |
1 developed in their lab for experimenting with the photogrammetry-based | calibration | calibration plate | 1 developed in their lab for experimenting with the photogrammetry-based calibration strategies described in this paper |
we study a coordinated multi-point comp transmission where two base stations bss each supported by a pinching antenna system pass are deployed to jointly serve | communication | uplink communication | we study a coordinated multi-point comp transmission where two base stations bss each supported by a pinching antenna system pass are deployed to jointly serve communication users under spatial division multiple access sdma technology |
the cross dual encoder network comprises four essential components a global encoder a local | encoder | cross dual encoder network | the cross dual encoder network comprises four essential components a global encoder a local encoder a symmetric cross-attention module and a flow-based decoder |
our general interaction framework which reduces to several previously studied | models | quantum mechanics | our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum correlations with applications in quantum simulation state preparation and sensing protocols |
while this approach has advantages such as independence from appearance the | existing | real-world scenarios | while this approach has advantages such as independence from appearance the existing methods may break down under real-world conditions |
vision-language models vlms such as clip which are pre-trained on | large | language models | vision-language models vlms such as clip which are pre-trained on large image-text pairs offer a promising solution by enhancing robustness and data efficiency in medical imaging tasks |
neurodob a deep neural observer-based controller for vehicle | lateral | disturbance observer | neurodob a deep neural observer-based controller for vehicle lateral dynamics |
one of the most radical shifts is the rejection of the sandwich model of | cognition | cognitive science | one of the most radical shifts is the rejection of the sandwich model of cognition which holds that mental processes are located be- tween action and perception |
this research presents a novel racing and | overtaking | wheel-to-wheel racing | 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 |
the performance of large language models llms often degrades when crucial information is in the middle of a long | context | large language models | the performance of large language models llms often degrades when crucial information is in the middle of a long context a lost-in-the-middle phenomenon that mirrors the primacy and recency effects in human memory |
in this paper we prove that the iterates of the | accelerated | accelerated gradient | in this paper we prove that the iterates of the accelerated nesterov s algorithm in the critical regime do converge in the weak topology to a global minimizer of an l -smooth function in a real hilbert space hence answering positively a conjecture posed by h |
to reduce such bias debiased machine learning employs | neyman | debiased machine learning | to reduce such bias debiased machine learning employs neyman orthogonal estimating equations |
machine learning models including support vector machines svm naive bayes long short-term memory lstm networks and | bidirectional | machine learning | machine learning models including support vector machines svm naive bayes long short-term memory lstm networks and bidirectional encoder representations from transformers bert were employed to classify sentiments and predict trends |
existing reinforcement learning from verifiable rewards rlvr methods such as group relative | policy | reinforcement learning | existing reinforcement learning from verifiable rewards rlvr methods such as group relative policy optimization grpo have achieved remarkable progress in improving the reasoning capabilities of large reasoning models lrms |
by making predictability an explicit metric for crafting the data diet poyo-ssl turns heterogeneity from a liability into an asset providing a | robust | recurrent neural | by making predictability an explicit metric for crafting the data diet poyo-ssl turns heterogeneity from a liability into an asset providing a robust biologically grounded recipe for scalable neural decoding and a path toward foundation models of neural dynamics |
in this study we investigate the effectiveness of advanced feature engineering and hybrid model architectures for | anomaly | anomaly detection | in this study we investigate the effectiveness of advanced feature engineering and hybrid model architectures for anomaly detection in a multivariate industrial time series focusing on a steam turbine system |
we introduce multicolleagues a multi-agent conversational system that shows how ai | agents | ai literacy | we introduce multicolleagues a multi-agent conversational system that shows how ai agents can act as colleagues by conversing with each other sharing new ideas and actively involving users in collaborative ideation |
recently machine learning ml models mostly based on the application of large | language | large language | recently machine learning ml models mostly based on the application of large language models to sequence information have been developed to predict antibody properties |
our framework clarifies the conditions under which benchmark scores can support diverse scientific claims bringing | predictive | debiased machine learning | our framework clarifies the conditions under which benchmark scores can support diverse scientific claims bringing predictive benchmarking into perspective as an epistemological practice and a key site of conceptual and theoretical reasoning in machine learning |
this paper presents a carbon-aware optimal | power | optimal power flow | this paper presents a carbon-aware optimal power flow opf framework that incorporates data-driven carbon tracing enabling rapid estimation of nodal carbon emissions from electric loads |
we formulate the problem as a markov decision process and analyze the structure of the optimal | policy | deep reinforcement learning | we formulate the problem as a markov decision process and analyze the structure of the optimal policy pi star for l 3 extending insights to arbitrary l |
user misconceptions of llm-based conversational | programming | llm reasoning | user misconceptions of llm-based conversational programming assistants |
lagged macroeconomic indicators should provide naturally valid but | frequently | monetary policy | lagged macroeconomic indicators should provide naturally valid but frequently weak instruments |
don t blind your vla aligning visual representations for | ood | multi-goal visual | don t blind your vla aligning visual representations for ood generalization |
the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of reasoning capabilities as | foundation | foundation models | the tri-infrastructure methodology and 79-problem benchmark enable longitudinal tracking of reasoning capabilities as foundation models evolve |
we describe how weak phase modulations applied to classical | coherent | optical interference | we describe how weak phase modulations applied to classical coherent light in specially modified linear interferometers can be used to perform primitive computational tasks |
overall our results highlight that the implicit | bias | debiased machine learning | overall our results highlight that the implicit bias of adam crucially depends on both the batching scheme and the dataset while signum remains invariant |
nearest neighbor matching is equivalent to least squares density ratio estimation and | riesz | riesz regression | nearest neighbor matching is equivalent to least squares density ratio estimation and riesz regression |
we study policy learning with abstention where a | policy | policy optimization | we study policy learning with abstention where a policy may defer to a safe default or an expert |
results reveal that gromov-wasserstein is largely uncorrelated with | edge | gromov-wasserstein distance | results reveal that gromov-wasserstein is largely uncorrelated with edge betweenness rho 0 |
self-improvement has emerged as a mainstream paradigm for advancing the | reasoning | reasoning capabilities | 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 |
experimental verification is scarce however especially in the telecom range because real | photonic | integrated photonics | experimental verification is scarce however especially in the telecom range because real photonic crystals and experimental methods inherently cannot be homogeneous in the third dimension |
in this study we summarize prevalent weight | constraints | weight constraints | in this study we summarize prevalent weight constraints used in the literature and theoretically and numerically compare how they influence the properties of the combined forecast |
in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance | photonic | quantum emitters | in this work we propose a strategy that exploits the principles of non-hermitian physics--specifically the concept of exceptional points eps --to transcend these limitations and pave the way for the next generation of versatile high-performance photonic devices |
this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased | machine | debiased machine learning | this study proves that nearest neighbor nn matching can be interpreted as an instance of riesz regression for automatic debiased machine learning |
these estimators minimize a kernel-weighted convex-in-parameter function over observation pairs that are similar in terms of certain covariates where the similarity is governed by a localization | bandwidth | nonparametric identification | these estimators minimize a kernel-weighted convex-in-parameter function over observation pairs that are similar in terms of certain covariates where the similarity is governed by a localization bandwidth parameter |
finally we validate our theoretical results through simulations on synthetic and | real-world | real-world scenarios | finally we validate our theoretical results through simulations on synthetic and real-world datasets |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.