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while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography | eeg | brain decoding | while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography eeg offers a temporally precise and scalable approach to capture the fast oscillatory dynamics that underlie spontaneous neural organization |
our approach is the first data-driven approach that achieves conditional structured layout generation and produces realistic | layout | layout generation | our approach is the first data-driven approach that achieves conditional structured layout generation and produces realistic layout structures explicitly |
learning to defer uncertain predictions to costly experts offers a powerful strategy for improving the accuracy and efficiency of | machine | machine learning | learning to defer uncertain predictions to costly experts offers a powerful strategy for improving the accuracy and efficiency of machine learning systems |
here we combine information theory and synthetic forward modeling to estimate the | mutual | mutual information | here we combine information theory and synthetic forward modeling to estimate the mutual information between latent cortical sources and eeg recordings |
to overcome these challenges we developed darts a drone-based ai-powered real-time traffic incident | detection | incident detection | to overcome these challenges we developed darts a drone-based ai-powered real-time traffic incident detection system |
this hybrid approach enhances both sampling and entanglement | efficiency | quantum key distribution | this hybrid approach enhances both sampling and entanglement efficiency enabling more resource-practical implementations of distributed quantum computation |
we prove kantorovich duality for a linearized version of a recently proposed non-quadratic quantum optimal transport problem where quantum | channels | quantum channels | we prove kantorovich duality for a linearized version of a recently proposed non-quadratic quantum optimal transport problem where quantum channels realize the transport |
this paper presents a curriculum-based reinforcement | learning | optimal control | this paper presents a curriculum-based reinforcement learning framework for training precise and high-performance jumping policies for the robot olympus |
land use change impacts are also negative but more complex with more | explanatory | land use | land use change impacts are also negative but more complex with more explanatory variables |
if the researcher is willing to postulate a no residual autocorrelation assumption and some units can be thought of as controls pvar can identify | average | average treatment effect | if the researcher is willing to postulate a no residual autocorrelation assumption and some units can be thought of as controls pvar can identify average treatment effects on the treated |
by comparing the evolution of a superposition-state to a superposition of individually-evolved basis states we test linearity and | observe | super-heisenberg scaling | by comparing the evolution of a superposition-state to a superposition of individually-evolved basis states we test linearity and observe clear violations which we quantify across the exceptional-point ep degeneracy of the non-hermitian hamiltonian |
continual learning cl aims to incrementally train a model on a | sequence | continual learning | continual learning cl aims to incrementally train a model on a sequence of tasks while retaining performance on prior ones |
the optimization problem aims to maximize the | communication | communication systems | the optimization problem aims to maximize the communication sum-rate which is critical for ensuring high-quality service to users while also maintaining accurate sensing performance for detection tasks and adhering to maximum power constraints for efficient resource usage |
the methodology employed compares annotation time | coverage | findings highlight | the methodology employed compares annotation time coverage and diversity in three experimental settings manual automatic and semi-automatic annotation |
our results present a compelling new case for the connection between the liquid-state properties of phase-change materials and their unique ability to combine high amorphous-phase stability with | ultrafast | phase transition | our results present a compelling new case for the connection between the liquid-state properties of phase-change materials and their unique ability to combine high amorphous-phase stability with ultrafast crystallization |
specifically we first analyze the trajectory of the airy beam and the | beam | near-field beam | specifically we first analyze the trajectory of the airy beam and the beam pattern at the receiver using a discrete fourier transform dft codebook in the presence of obstacles |
unlike autoregressive captioning the strength of the | visual | vision-language models | unlike autoregressive captioning the strength of the visual learning signal in mdc does not depend on each token s position in the sequence reducing the need for auxiliary objectives |
this limits the ability of vision systems to capture key internal | drivers | automated driving | this limits the ability of vision systems to capture key internal drivers of behavior |
dynamic spatial treatment effect boundaries a continuous | functional | spatial treatment | dynamic spatial treatment effect boundaries a continuous functional framework from navier-stokes equations |
we introduce adaptive tuning-free step size schedules for gradient-based sampling algorithms obtained as time-discretizations of wasserstein | gradient | gradient flow | we introduce adaptive tuning-free step size schedules for gradient-based sampling algorithms obtained as time-discretizations of wasserstein gradient flows |
this paper investigates large-population stochastic | control | predictive control | this paper investigates large-population stochastic control problems in which agents share their state information and cooperate to minimize a convex cost functional |
extending the analysis to cavity magnomechanics we show that logarithmic plots can exhibit apparent polaromechanical normal | mode | waveguide modes | extending the analysis to cavity magnomechanics we show that logarithmic plots can exhibit apparent polaromechanical normal mode splitting whereas linear scale spectra display no true splitting |
several models achieve sub kilometer accuracy epe 6 to 8 pixels 300 to 400 m a small error relative to the spatial scales of sea | ice | sea ice | several models achieve sub kilometer accuracy epe 6 to 8 pixels 300 to 400 m a small error relative to the spatial scales of sea ice motion and typical navigation requirements in the arctic |
transition metals mn and co are chosen as substitutes for fe to reduce or increase the d-band electron count thereby moving the | fermi | fermi level | transition metals mn and co are chosen as substitutes for fe to reduce or increase the d-band electron count thereby moving the fermi level accordingly |
we provide an inferential framework to assess variable importance for heterogeneous | treatment | causal inference | we provide an inferential framework to assess variable importance for heterogeneous treatment effects |
recent efforts have introduced several combinatorial | kernels | heat kernels | recent efforts have introduced several combinatorial kernels but the relationships among them are not well understood |
while we empirically observe that decomposing the original | flow | flow matching | while we empirically observe that decomposing the original flow enhances diversity in the target space generating semantically aligned outputs still requires consistent guidance toward the full target prompt |
notably we show monotonicity properties of the frontier building on which we transform the bi-objective | problem | inverse optimal issf | notably we show monotonicity properties of the frontier building on which we transform the bi-objective problem into several single-objective problems |
we present sia social insight agents an llm | agent | ai agents | we present sia social insight agents an llm agent system that links heterogeneous multi-modal data -- including raw inputs e |
we introduce a class of generalized convex functions termed star quasiconvexity to ensure the linear convergence of | gradient | gradient descent | we introduce a class of generalized convex functions termed star quasiconvexity to ensure the linear convergence of gradient and proximal point methods |
we initiate this study by focusing on collective | behaviors | social interactions | we initiate this study by focusing on collective behaviors that change abruptly at certain critical numbers of individuals |
fully automated vehicles favs hold promise for | enhancing | automated driving | fully automated vehicles favs hold promise for enhancing the mobility of blind and low-vision blv individuals |
i propose an alternative method defined as control-var which uses control variables to estimate | causal | causal inference | i propose an alternative method defined as control-var which uses control variables to estimate causal effects |
in addition novel deep learning techniques are | currently | deep learning | in addition novel deep learning techniques are currently being investigated to further improve such optimization approaches |
a-tpt angular diversity calibration properties for test-time prompt tuning of | vision-language | vision-language models | a-tpt angular diversity calibration properties for test-time prompt tuning of vision-language models |
polynomial chaos expansions pce are widely used for | uncertainty | uncertainty quantification | polynomial chaos expansions pce are widely used for uncertainty quantification uq tasks particularly in the applied mathematics community |
however the uniquely strict requirements for high-fidelity | qubit | quantum coherence | however the uniquely strict requirements for high-fidelity qubit transmission complicate the extent to which classical solutions may apply to future quantum networks particularly in terms of recognizing noise sources present in low-flux nonunitary channels |
saddle point approximation and central limit | theorem | central limit | saddle point approximation and central limit theorem for densities in high dimensions |
we design a practical reward shaping scheme direction distance | obstacle | dynamic obstacles | we design a practical reward shaping scheme direction distance obstacle avoidance action smoothness collision penalty time penalty and progress together with a lidar-based safety gate that prevents unsafe motions |
these technologies offer personalized experiences and transform familiar | spaces | user experience | these technologies offer personalized experiences and transform familiar spaces by layering new narratives onto the real world |
we validated the method on both continuous attractor network simulations and experimental recordings of grid cells demonstrating that local trajectories can be reliably reconstructed from a single | grid | grid cell | we validated the method on both continuous attractor network simulations and experimental recordings of grid cells demonstrating that local trajectories can be reliably reconstructed from a single grid cell module without external position information or training data |
through expert-centered case studies and quantitative evaluation we show that sia effectively discovers diverse and meaningful insights from social media while supporting human-agent | collaboration | human-ai interaction | through expert-centered case studies and quantitative evaluation we show that sia effectively discovers diverse and meaningful insights from social media while supporting human-agent collaboration in complex analytical tasks |
discussion about the replacement of intellectual human labour by thinking machines has been present in the public and expert discourse since the creation of | artificial | artificial intelligence | discussion about the replacement of intellectual human labour by thinking machines has been present in the public and expert discourse since the creation of artificial intelligence ai as an idea and terminology since the middle of the twentieth century |
we formulate a network latency minimization problem to joint optimize | uplink | uplink communication | we formulate a network latency minimization problem to joint optimize uplink pass beamforming and task offloading |
the design is subject to a transmit-power | budget | transmit power | the design is subject to a transmit-power budget and a proximity dissimilarity constraint around the communication-optimal pilot |
different from existing motion representations we aim to estimate an hr | motion | motion trajectory | different from existing motion representations we aim to estimate an hr motion trajectory with high-quality from a single motion-blurred image |
yet while most efforts have focused on document layout analysis dla its generative counterpart document | layout | layout generation | yet while most efforts have focused on document layout analysis dla its generative counterpart document layout generation remains underexplored |
understanding how creativity is represented in the brain s intrinsic | functional | functional connectivity | understanding how creativity is represented in the brain s intrinsic functional architecture remains a central challenge in cognitive neuroscience |
the appearance of a virtual avatar significantly influences its perceived appropriateness and the user s | experience | user experience | the appearance of a virtual avatar significantly influences its perceived appropriateness and the user s experience particularly in healthcare applications |
second users recalled fewer physical objects than virtual | objects | object recall | second users recalled fewer physical objects than virtual objects in the environment suggesting reduced awareness of the physical environment |
by incorporating a novel two-stage inference workflow the benchmark can further evaluate | vlms | vision-language models vlms | by incorporating a novel two-stage inference workflow the benchmark can further evaluate vlms capability to align and compare elements attributes across two charts |
controlling specific behaviors in large language models while preserving their general | capabilities | language models | controlling specific behaviors in large language models while preserving their general capabilities is a central challenge for safe and reliable artificial intelligence deployment |
specifically we establish a taylor expansion for the gradient of the biconjugation operator--that is the operator obtained by applying the fenchel transform twice--around a strictly | convex | strongly convex | specifically we establish a taylor expansion for the gradient of the biconjugation operator--that is the operator obtained by applying the fenchel transform twice--around a strictly convex function with assistance from gpt-5-pro openai s latest model |
this paper analyses how these two model classes have performed on | real-world | real-world datasets | this paper analyses how these two model classes have performed on real-world tabular data |
second we propose vimogen a flow-matching-based diffusion transformer that unifies | priors | optical flow | second we propose vimogen a flow-matching-based diffusion transformer that unifies priors from mocap data and vigen models through gated multimodal conditioning |
an analytical end-to-end model is developed to characterize the system s electromechanical response noise behavior and information-theoretic performance including signal-to-noise | ratio | signal-to-noise ratio | an analytical end-to-end model is developed to characterize the system s electromechanical response noise behavior and information-theoretic performance including signal-to-noise ratio snr and channel capacity |
the fact that the loss function can have and frequently has non-convex regions has led to a widespread commitment to | non-convex | gradient descent | the fact that the loss function can have and frequently has non-convex regions has led to a widespread commitment to non-convex methods such as adam |
traditional graph_theoretic metrics such as betweenness and degree centrality offer insights into local network | structure | network structures | traditional graph_theoretic metrics such as betweenness and degree centrality offer insights into local network structure but often fail to capture global structural distortions resulting from link failures |
our results demonstrate that models trained across animals with partial observations can successfully in-paint the dynamics of unrecorded | areas | brain regions | our results demonstrate that models trained across animals with partial observations can successfully in-paint the dynamics of unrecorded areas enabling multi-area analyses that transcend the limitations of any single experiment |
large language models llms are increasingly | used | models llms | large language models llms are increasingly used as raters for evaluation tasks |
accurate real-time wireless signal prediction is essential for | next-generation | wireless communication | accurate real-time wireless signal prediction is essential for next-generation networks |
to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual | cognition | brain-computer interface | to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual cognition which explores multi-level semantics and correlations without fine-tuning of generative models |
quantum error correction thermalization and quantum | chaos | quantum error correction | quantum error correction thermalization and quantum chaos are fundamental aspects of quantum many-body physics that have each developed largely independently despite their deep conceptual overlap |
however the use of ai in re also brings challenges like algorithmic bias lack of explainability and | ethical | trustworthy ai | however the use of ai in re also brings challenges like algorithmic bias lack of explainability and ethical concerns related to automation |
we establish the asymptotic properties of the test statistics which | hold | asymptotic normality | we establish the asymptotic properties of the test statistics which hold under both fixed- and high-dimensional regimes |
in this work we study out-of-distribution | generalization | policy learning | in this work we study out-of-distribution generalization in meta-learning from an information-theoretic perspective |
selecting a small set of species that maximizes phylogenetic diversity for a given | phylogenetic | phylogenetic diversity | selecting a small set of species that maximizes phylogenetic diversity for a given phylogenetic tree is an essential task in preservation planning where limited resources naturally prevent saving all species |
dissecting the mass quenching in tng50 galaxy size determines the | quenching | galaxy cgm | dissecting the mass quenching in tng50 galaxy size determines the quenching mode |
the virial mass of clumps increases exponentially with this normalized time revealing an | accelerating | dense gas | the virial mass of clumps increases exponentially with this normalized time revealing an accelerating buildup of star-forming gas within protoclusters |
this represents a paradigm shift long-residence | interstellar | galactic nuclei | this represents a paradigm shift long-residence interstellar objects primarily reveal gcr-processed material rather than pristine material representative of their primordial formation environments |
debiased machine learning typically requires estimation of the riesz representer and the | regression | machine learning | debiased machine learning typically requires estimation of the riesz representer and the regression function |
motivated by practical applications we use this baseline to develop a new framework for fast | approximate | -approximation algorithm | motivated by practical applications we use this baseline to develop a new framework for fast approximate matrix multiplication amm via low-degree approximations of the cksu polynomials |
slt thus provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like transitions in | collective | emergent behaviors | slt thus provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like transitions in collective behavior |
understanding and modeling human mobility is central to challenges in transport planning sustainable | urban | human mobility | understanding and modeling human mobility is central to challenges in transport planning sustainable urban design and public health |
as ai capabilities improve and ai is used to tackle more challenging | tasks | reasoning capabilities | as ai capabilities improve and ai is used to tackle more challenging tasks verifying quality and safety becomes increasingly challenging |
the protocol utilizes a probabilistic approach to dynamically determine | channel | channel state | the protocol utilizes a probabilistic approach to dynamically determine channel polling listening intervals |
the integration of non-linear link functions enhances model flexibility capturing the non-linear nature of | traffic | traffic dynamics | the integration of non-linear link functions enhances model flexibility capturing the non-linear nature of traffic extremes |
the widespread adoption of generative ai genai has introduced new challenges in crowdsourced | data | generative ai | the widespread adoption of generative ai genai has introduced new challenges in crowdsourced data collection particularly in survey-based research |
this paper introduces spikefit a novel training method for spiking neural networks snns that enables efficient inference on neuromorphic hardware considering all its stringent requirements the number of | neurons | neural codes | this paper introduces spikefit a novel training method for spiking neural networks snns that enables efficient inference on neuromorphic hardware considering all its stringent requirements the number of neurons and synapses that can fit on a single device and lower bit-width representations e |
we quantify the dependence of magnetic fields on star formation | activity | star formation rates | we quantify the dependence of magnetic fields on star formation activity including both regular and starburst galaxies |
furthermore the indirect optimization of a local region of attraction roa estimate using a restricted set of candidate lyapunov functions is greatly improved via c the introduction of a richer parameterization of candidate | lyapunov | predictive control | furthermore the indirect optimization of a local region of attraction roa estimate using a restricted set of candidate lyapunov functions is greatly improved via c the introduction of a richer parameterization of candidate lyapunov functions than previously reported and d the formulation of novel semidefinite programs sdps that directly optimize the resulting roa estimate |
the fast for the curious how to accelerate | fault-tolerant | quantum coherence | the fast for the curious how to accelerate fault-tolerant quantum applications |
the proposed mrc metric aligns crash risk estimates with real-world | pedestrian | crash risk | the proposed mrc metric aligns crash risk estimates with real-world pedestrian behavior in mixed-traffic environments |
recent work shows that the problem remains np-hard even on restricted graph classes such as cactus | graphs | regular graphs | recent work shows that the problem remains np-hard even on restricted graph classes such as cactus graphs of pathwidth 2 aminian et al |
in this paper we present an inverse-free pure quantum state | estimation | quantum dot | in this paper we present an inverse-free pure quantum state estimation protocol that achieves heisenberg scaling |
fast high-fidelity baseband reset of a latched state for quantum | dot | quantum dot | fast high-fidelity baseband reset of a latched state for quantum dot qubit readout |
to address these challenges we propose a unified framework that jointly optimizes 3d gaussian points and | camera | pose estimation | to address these challenges we propose a unified framework that jointly optimizes 3d gaussian points and camera poses without requiring pre-calibrated inputs |
beyond identifying causal connections an equally important challenge is determining the associated causal influence range cir indicating when | causal | causal inference | beyond identifying causal connections an equally important challenge is determining the associated causal influence range cir indicating when causal influences emerged and for how long they persist |
numerical experiments validate the efficiency and multiple robustness of our | proposed | computationally efficient | numerical experiments validate the efficiency and multiple robustness of our proposed methods |
i develop a comprehensive theoretical framework for dynamic spatial treatment effect | boundaries | effect boundaries | i develop a comprehensive theoretical framework for dynamic spatial treatment effect boundaries using continuous functional definitions grounded in navier-stokes partial differential equations |
these results highlight the substantial room for improvement and underscore the | challenges | llm inference | these results highlight the substantial room for improvement and underscore the challenges of applying llms in education |
this leads to an imbalanced optimization that drives the model to prioritize simple reasoning | skills | reasoning curriculum | this leads to an imbalanced optimization that drives the model to prioritize simple reasoning skills while hindering its ability to tackle more complex reasoning tasks |
we use this life cycle to project future concentration in | large | urban systems | we use this life cycle to project future concentration in large cities |
we extend this theoretical foundation by proving the consistency of a truncated version of hohl and deriving explicit convergence rates when | hohl | continual learning | we extend this theoretical foundation by proving the consistency of a truncated version of hohl and deriving explicit convergence rates when hohl is used as a regularizer in fully supervised learning |
the noise is sampled from a class of bounded polynomial kernel densities constructed through convolutions of uniform distributions with a natural bandwidth parameter defined by the | kernel | density estimation | the noise is sampled from a class of bounded polynomial kernel densities constructed through convolutions of uniform distributions with a natural bandwidth parameter defined by the kernel s support bound |
the alignment trend becomes particularly pronounced in regions of high | tidal | tidal disruption | the alignment trend becomes particularly pronounced in regions of high tidal anisotropy and high overdensity |
our results constitute a substantial development on existing corrections to mean-field theory for infectious individuals in sis processes and provide an in-depth characterization of how structural randomness in | networks | collective systems | our results constitute a substantial development on existing corrections to mean-field theory for infectious individuals in sis processes and provide an in-depth characterization of how structural randomness in networks affects the dynamical trajectories of infectious diseases on networks |
boundary vector cells bvcs are a class of | neurons | surrogate brain | boundary vector cells bvcs are a class of neurons in the brains of vertebrates that encode environmental boundaries at specific distances and allocentric directions playing a central role in forming place fields in the hippocampus |
furthermore we use our bounds to investigate the problem of data memorization raised in those works and which asserts that there are learning problem instances for which any learning algorithm that has good prediction there exist distributions under which the | algorithm | machine learning | furthermore we use our bounds to investigate the problem of data memorization raised in those works and which asserts that there are learning problem instances for which any learning algorithm that has good prediction there exist distributions under which the algorithm must memorize a big fraction of the training dataset |
integrating legal and logical specifications in perception prediction and planning for automated | driving | autonomous driving | integrating legal and logical specifications in perception prediction and planning for automated driving a survey of methods |
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