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physiological signals from wearable devices offer a promising noninvasive method for | continuous | physiological signals | physiological signals from wearable devices offer a promising noninvasive method for continuous emotion monitoring |
understanding the role of randomness when solving locally checkable labeling lcl | problems | randomized algorithm | understanding the role of randomness when solving locally checkable labeling lcl problems in the local model has been one of the top priorities in the research on distributed graph algorithms in recent years |
reconstructing images seen by people from their | fmri | brain regions | reconstructing images seen by people from their fmri brain recordings provides a non-invasive window into the human brain |
our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum | correlations | quantum coherence | 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 |
we study the convergence of off-policy td 0 with linear | function | policy learning | we study the convergence of off-policy td 0 with linear function approximation when used to approximate the expected discounted reward in a markov chain |
we analyzed participants search task performance movements | eye-gaze | task performance | we analyzed participants search task performance movements eye-gaze survey responses and object recall |
our findings reveal a significant increase in ai-generated responses in the post-2022 studies highlighting how | genai | ai use | our findings reveal a significant increase in ai-generated responses in the post-2022 studies highlighting how genai may silently distort crowdsourced data |
this study aimed to develop and evaluate a taxonomy-grounded llm-powered | multi-agent | models llms | this study aimed to develop and evaluate a taxonomy-grounded llm-powered multi-agent system for simulating realistic emd scenarios |
empathic prompting non-verbal context integration for multimodal | llm | llm responses | empathic prompting non-verbal context integration for multimodal llm conversations |
in this paper we investigate the beamforming design problem in an integrated sensing and communication | isac | communication isac | in this paper we investigate the beamforming design problem in an integrated sensing and communication isac system where a multi-antenna base station simultaneously serves multiple communication users while performing radar sensing |
we argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these | complex | complex systems | we argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these complex dynamics on socio-technological systems |
and confirms that controlling the extent of non-linear in preferential attachment is key to achieving a better fit to the real network s | degree | degree distributions | and confirms that controlling the extent of non-linear in preferential attachment is key to achieving a better fit to the real network s degree distribution pattern |
this harnesses the particular phase parametrization of an interferometer allowing entirely linear optics to produce | nonlinear | nonlinear optical | this harnesses the particular phase parametrization of an interferometer allowing entirely linear optics to produce nonlinear operations such as division and powers |
riesz regression covariate balancing dre and the matching estimator are methods for estimating the | balancing | covariate balancing | riesz regression covariate balancing dre and the matching estimator are methods for estimating the balancing weights where riesz regression is essentially equivalent to dre in the ate context the matching estimator is a special case of dre and dre is in a dual relationship with covariate balancing |
we develop a unified framework for designing | experiments | randomized experiments | we develop a unified framework for designing experiments in this setting the researcher selects which parameters to identify experimentally from a feasible set which treatment arms and or individuals to include in the experiment allocates sample size and specifies how to weight experimental and observational estimators |
a unified theory for causal inference direct debiased machine | learning | machine learning | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
through analysis and simulation we show that learning depends on temporal overlap a synapse updates correctly only when its input and the corresponding | error | continual learning | through analysis and simulation we show that learning depends on temporal overlap a synapse updates correctly only when its input and the corresponding error signal coincide in time |
with incoming task goals the system queries the memory predicts candidate | goal | multi-goal visual | with incoming task goals the system queries the memory predicts candidate goal locations and integrates a local perception-based verification mechanism to dynamically match and validate goals during navigation |
to address these limitations the proposed system introduces a vr-based assistive platform integrating panoramic visuals and haptic feedback to create an | immersive | virtual reality | to address these limitations the proposed system introduces a vr-based assistive platform integrating panoramic visuals and haptic feedback to create an immersive training environment |
to address this gap we provide a comprehensive survey of hgnn-based | anomaly | anomaly detection | to address this gap we provide a comprehensive survey of hgnn-based anomaly detection methods in cybersecurity |
we investigate the properties of extreme emission | line | emission line | we investigate the properties of extreme emission line galaxies eelgs at z 4-9 and their role in reionization |
driven by the essential components of tool usage - grasping the desired outcome selecting the most suitable tool determining optimal | tool | tool usage | driven by the essential components of tool usage - grasping the desired outcome selecting the most suitable tool determining optimal tool orientation and executing precise manipulations - we introduce a pioneering framework |
in this work we present a clear and robust morphological analysis of a | sample | dark matter | in this work we present a clear and robust morphological analysis of a sample of 190 galaxies at z 6 demonstrating that distinct bulge and disk components were already beginning to emerge during this early epoch |
a three-dimensional reconstruction of the | interstellar | galactic disk | a three-dimensional reconstruction of the interstellar magnetic field toward a star-forming region |
our findings reveal that although llms demonstrate some ability to translate | natural | natural language | our findings reveal that although llms demonstrate some ability to translate natural language into a symbolic representation of the environment dynamics their performance is highly sensitive to partition granularity and task complexity |
we analyze a model where the mlp comprises two layers with the first layer trained via a single gradient step and the second | layer | deep learning | we analyze a model where the mlp comprises two layers with the first layer trained via a single gradient step and the second layer fully optimized |
this study bridges the gap between the two approaches by showing that both are based on essentially the same | optimization | optimization problem | this study bridges the gap between the two approaches by showing that both are based on essentially the same optimization problem |
considering uncorrelated classically correlated and entangled initial | states | entanglement entropy | considering uncorrelated classically correlated and entangled initial states we show that entanglement enables the superposed causal order to generate coherence in the working medium thereby enhancing work extraction and efficiency beyond the separable and uncorrelated cases |
additionally the refined annotation guidelines increase agreement among different | llm | llm raters | additionally the refined annotation guidelines increase agreement among different llm models |
the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text | polylog | mathrm polylog | the tree supports text polylog n -time operations and requires a static lookup table of size text poly n text polylog u -- but in exchange for these the tree is able to achieve a remarkable space guarantee |
these relationships generalize fisher s fundamental theorem of natural | selection | evolutionary dynamics | these relationships generalize fisher s fundamental theorem of natural selection and also make clear some of its limitation |
wigner s friend-type paradoxes challenge the assumption that events are | absolute | wigner negativity | wigner s friend-type paradoxes challenge the assumption that events are absolute -- that when we measure a system we obtain a single result which is not relative to anything or anyone else |
the rapid growth of streaming video applications demands multimodal models with enhanced capabilities for | temporal | temporal understanding | the rapid growth of streaming video applications demands multimodal models with enhanced capabilities for temporal dynamics understanding and complex reasoning |
while existing solutions rely on accurate object models or specialized sensors and grippers this | adds | real-world applications | while existing solutions rely on accurate object models or specialized sensors and grippers this adds complexity and often lacks generalization |
while existing machine learning algorithms can | achieve | predictive processing | while existing machine learning algorithms can achieve strong accuracy on this task most models are uninterpretable and cannot justify their conclusions |
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 | ai literacy | 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 |
to overcome these limitations we propose a novel multiplicative update proximal | gradient | gradient flow | to overcome these limitations we propose a novel multiplicative update proximal gradient algorithm sso-pga with convergence guarantees which is designed for robustness in non-negative inverse problems |
the expansion of large language models is | increasingly | language models | the expansion of large language models is increasingly limited by the constrained memory capacity of modern gpus |
understanding and modeling human mobility is central to challenges in transport planning sustainable | urban | traffic dynamics | understanding and modeling human mobility is central to challenges in transport planning sustainable urban design and public health |
we study massachusetts towns april 2020-april 2021 build a weekly directed | mobility | human mobility | we study massachusetts towns april 2020-april 2021 build a weekly directed mobility network from anonymized smartphone traces derive dynamic topology measures and evaluate their out-of-sample value for one-week-ahead covid-19 forecasts |
the current state-of-the-art methods exploit probabilistic models of sequence evolution along | phylogenetic | phylogenetic diversity | the current state-of-the-art methods exploit probabilistic models of sequence evolution along phylogenetic trees by searching for the tree maximizing the likelihood of observed sequences or by estimating the posterior of the tree given the sequences in a bayesian framework |
in this work we proposed a novel priority-based mac protocol adaptive and dynamic polling mac for prioritized traffic adp2-mac designed to support | heterogeneous | heterogeneous traffic | in this work we proposed a novel priority-based mac protocol adaptive and dynamic polling mac for prioritized traffic adp2-mac designed to support heterogeneous traffic in wbans |
this work lays a foundation for future quantum | computing | open quantum | this work lays a foundation for future quantum computing investigations of more complex and physically rich fermion-boson quantum field theories in higher dimensions |
we provide asymptotic bounds on its overestimation and underestimation probabilities and demonstrate first-order | b-robustness | lower bounds | we provide asymptotic bounds on its overestimation and underestimation probabilities and demonstrate first-order b-robustness of the criteria |
proximal gradient algorithms pga while foundational for inverse problems like image reconstruction often yield unstable | convergence | gradient descent | proximal gradient algorithms pga while foundational for inverse problems like image reconstruction often yield unstable convergence and suboptimal solutions by violating the critical non-negativity constraint |
we then apply it to a higher-order spin-glass hamiltonian with 156 | qubits | quantum algorithm | we then apply it to a higher-order spin-glass hamiltonian with 156 qubits executed on ibm quantum processors |
we then infer the statistical distribution of power-law slopes eta fitted as text sfr t | propto | stellar mass function | we then infer the statistical distribution of power-law slopes eta fitted as text sfr t propto t-t_ text start eta and 50 stellar mass formation times t_ 50 |
a graph neural network-based model is designed to generate projections tailored to each qp instance enabling us to produce high-quality | solutions | neural network | a graph neural network-based model is designed to generate projections tailored to each qp instance enabling us to produce high-quality solutions even for previously unseen problems |
visual prompt tuning vpt of pre-trained vision transformers vits has proven highly effective as a parameter-efficient fine-tuning | technique | prompt tuning | visual prompt tuning vpt of pre-trained vision transformers vits has proven highly effective as a parameter-efficient fine-tuning technique for adapting large models to downstream tasks with limited data |
reinforcement learning algorithms are typically designed for discrete-time dynamics even though the underlying real-world | control | reinforcement learning | reinforcement learning algorithms are typically designed for discrete-time dynamics even though the underlying real-world control systems are often continuous in time |
recent advances advocate easily obtainable | channel | wireless systems | recent advances advocate easily obtainable channel state information csi by commercial wifi devices for lightweight rf fingerprinting while falling short in addressing the challenges of coarse granularity of csi measurements in an open-world setting |
we also present finite-difference time domain fdtd | simulations | numerical simulations | we also present finite-difference time domain fdtd simulations that take the retardation effects into account |
these effects seem particularly pronounced when the interface exhibits local order and near-perfect | structural | electronic structure | these effects seem particularly pronounced when the interface exhibits local order and near-perfect structural alignment leading to the emergence of moir e patterns |
surprisingly the pa agrees well with monte carlo simulations on some empirical networks even small ones highlighting its potential as a computationally efficient bridge between individual decision-making and | collective | complex networks | surprisingly the pa agrees well with monte carlo simulations on some empirical networks even small ones highlighting its potential as a computationally efficient bridge between individual decision-making and collective actions |
our main contribution is a set of reductions and decompositions that transform dyck and | tree | tree embedding | 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 |
it opens the way to fast and accurate phylogenetic | inference | phylogenetic tree | it opens the way to fast and accurate phylogenetic inference under realistic models of sequence evolution |
additionally it offers insights into sensing performance effects on | beam | beam pattern | additionally it offers insights into sensing performance effects on beam patterns as well as communicationsensing trade-offs in multi-target scenarios |
neyman targeted estimation includes riesz | representer | riesz representer | neyman targeted estimation includes riesz representer estimation and we measure discrepancies using the bregman divergence |
our results show that approximate bayesian inference applied to | deep | deep learning | our results show that approximate bayesian inference applied to deep neural networks is far from a lost cause when constructing inference mechanisms that reflect the geometry of reparametrizations |
typically an sis is modelled as a surface that imparts phase shifts on impinging electromagnetic signals to achieve desired | communication | wireless systems | typically an sis is modelled as a surface that imparts phase shifts on impinging electromagnetic signals to achieve desired communication objectives |
this theory further promotes nonlinear transport as a probe of | geometric | transport properties | this theory further promotes nonlinear transport as a probe of geometric effects and phase transitions in quantum materials |
to address these challenges we propose the bayesian network llm fusion bnlf framework which integrates predictions from three | llms | large language models llms | to address these challenges we propose the bayesian network llm fusion bnlf framework which integrates predictions from three llms including finbert roberta and bertweet through a probabilistic mechanism for sentiment analysis |
here we present an information-theoretic framework to identify the most important | correlations | predictive processing | here we present an information-theoretic framework to identify the most important correlations which provide the most accurate predictions of neural states |
ai agents perform near the floor on rli with the highest-performing | agent | reinforcement learning rl | ai agents perform near the floor on rli with the highest-performing agent achieving an automation rate of 2 |
through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience environmental selection can naturally promote | evolutionary | evolutionary game | through numerical simulations and theoretical analysis we discuss the conditions under which variation in how individuals experience environmental selection can naturally promote evolutionary strategies that generalize across environments and anticipate novel challenges |
this paper proposes a nn modeling approach and learning | algorithm | learning algorithm | this paper proposes a nn modeling approach and learning algorithm that discovers the exact closed-form solution to qp with linear constraints by analytically deriving nn model parameters directly from the problem coefficients without training |
we show images that compare the smgps compact sources to cornish ultracompact | hii | hii regions | we show images that compare the smgps compact sources to cornish ultracompact hii regions thus highlighting the sensitivity and unprecedented uv-coverage of the smgps and the potential synergy of the smgps with other surveys |
further we found high agreement among five proxy llms while each individual | llm | llm responses | further we found high agreement among five proxy llms while each individual llm had low correlation with users evaluations |
twin-field quantum key distribution protocols security and | open | quantum key distribution | twin-field quantum key distribution protocols security and open problems |
to address these limitations we propose an adaptive end-to-end e2e transceiver architecture tailored for pilot-free and cp-free | wireless | wireless systems | to address these limitations we propose an adaptive end-to-end e2e transceiver architecture tailored for pilot-free and cp-free wireless systems |
the latter is decomposed into individual and coupling costs with the distinctive feature that the | coupling | control systems | the latter is decomposed into individual and coupling costs with the distinctive feature that the coupling term is a pairwise interaction function between the controls |
we determine how the fraction of radio loud sources changes across this parameter space finding that jets are most efficiently produced in | quasars | black hole | we determine how the fraction of radio loud sources changes across this parameter space finding that jets are most efficiently produced in quasars with either a very massive central black hole m_ textrm bh 10 9 textrm m _ odot or one that is rapidly accreting lambda_ textrm edd 0 |
to address these gaps we propose locot2v-bench a benchmark specifically designed for long video | generation | video generation | to address these gaps we propose locot2v-bench a benchmark specifically designed for long video generation lvg under complex input conditions |
in this paper we consider high-dimensional lp-quantile | regression | linear regression | in this paper we consider high-dimensional lp-quantile regression which only requires a low order moment of the error and is also a natural generalization of the above methods and lp-regression as well |
while these machine learning models boast impressive accuracy a related concern is how to assess and maintain | calibration | predictive performance | while these machine learning models boast impressive accuracy a related concern is how to assess and maintain calibration in the predictions these models make |
a short review on two-step laser processing of | material | pulsed laser | a short review on two-step laser processing of material is presented |
third traditional difference-in-differences methods that ignore | spatial | average treatment effect | third traditional difference-in-differences methods that ignore spatial and network structure exhibit 61 percent bias in estimated treatment effects |
in this paper we propose a strong baseline basicavsr for avsr by integrating four key components 1 adaptive multi-scale frequency priors generated from image laplacian pyramids 2 a flow-guided propagation unit to aggregate spatiotemporal information from adjacent frames 3 a second-order | motion | optical flow | in this paper we propose a strong baseline basicavsr for avsr by integrating four key components 1 adaptive multi-scale frequency priors generated from image laplacian pyramids 2 a flow-guided propagation unit to aggregate spatiotemporal information from adjacent frames 3 a second-order motion compensation unit for mor... |
watermarking schemes for large language models llms have been proposed to identify the source of the generated text | mitigating | watermarking schemes | watermarking schemes for large language models llms have been proposed to identify the source of the generated text mitigating the potential threats emerged from model theft |
this paper re-examines pre-existing data to reveal these unexpected findings the conduction speed of v1 intracortical axons increases approximately linearly with the conduction distance and is sufficiently high for conveying the | contextual | human brain | this paper re-examines pre-existing data to reveal these unexpected findings the conduction speed of v1 intracortical axons increases approximately linearly with the conduction distance and is sufficiently high for conveying the contextual influences |
our experiment demonstrates users reactions to the different distortion and augmentation effects in a standard living | room | virtual reality | our experiment demonstrates users reactions to the different distortion and augmentation effects in a standard living room with the distortion effects projected as wall grids furniture holograms and small particles in the air |
the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and | robust | recurrent neural | the new level of understanding of rnns obtained from ssm reduction enables the interpretation of mathematically well-defined and robust structures in neuronal dynamics leading to novel predictions about the neural computations underlying behavior |
machine learning-driven user localization in ris-assisted | wireless | wireless systems | machine learning-driven user localization in ris-assisted wireless systems |
a critical visual computation is to construct global scene properties from activities of early visual cortical | neurons | human brain | a critical visual computation is to construct global scene properties from activities of early visual cortical neurons which have small receptive fields |
msad a deep dive into model selection for time | series | time series classification | msad a deep dive into model selection for time series anomaly detection |
future research should explicitly test its | presence | findings suggest | future research should explicitly test its presence across contexts |
robotic systems navigating in real-world settings require a semantic understanding of their | environment | mobile robots | robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine safe actions |
for linear models we develop a preconditioned variant that mimics newton-type | updates | data-driven stabilization | for linear models we develop a preconditioned variant that mimics newton-type updates and yields significant acceleration |
we illustrate these capabilities on convex and nonconvex models including economic dispatch mean-variance portfolio selection with conic risk | constraints | optimal control | we illustrate these capabilities on convex and nonconvex models including economic dispatch mean-variance portfolio selection with conic risk constraints and nonlinear robot inverse kinematics |
the same framework applies broadly to continuously tunable phase-gradient | optics | optical properties | the same framework applies broadly to continuously tunable phase-gradient optics including varifocal metalenses parfocal zoom metalenses tunable axicons and related dynamic focusing elements |
we also establish that under a suitable sample-based detectability condition known as sample-based incremental input output-to-state stability i-ioss the proposed sample-based mhe achieves robust global exponential | stability | data-driven stabilization | we also establish that under a suitable sample-based detectability condition known as sample-based incremental input output-to-state stability i-ioss the proposed sample-based mhe achieves robust global exponential stability rges |
land use change perceptions included deforestation coastal degradation habitat protection renewable | energy | environmental change | land use change perceptions included deforestation coastal degradation habitat protection renewable energy facilities wetlands and others |
the proposed approach is evaluated across kronecker and weichselberger | channel | channel state information | the proposed approach is evaluated across kronecker and weichselberger channel models with three distinct pilot probing schemes |
the paper also systematically introduces the complete process of constructing high-reliability machine | learning | machine learning ml | the paper also systematically introduces the complete process of constructing high-reliability machine learning models and summarizes effective experimental verification model evaluation and optimization methods |
in terms of graph size we obtain a lower bound of 2 tilde | omega | upper bound | in terms of graph size we obtain a lower bound of 2 tilde omega sqrt log log n |
a distractor on the right was as effective as a | distractor | human cognition | a distractor on the right was as effective as a distractor at the front in reducing the upper limit despite the importance of resolving front-back confusions |
virtual reality vr games require players to translate high-level semantic actions into precise | device | physical virtual | virtual reality vr games require players to translate high-level semantic actions into precise device manipulations using controllers and head-mounted displays hmds |
crucially we find a significant dearth of | barred | host galaxy | crucially we find a significant dearth of barred disc galaxies hosting agn with f_ rm agn 0 |
yet the classic theoretical results of population | genetics | population genetics | yet the classic theoretical results of population genetics e |
these findings emphasize that improper dosing whether below or above the prescribed level can accelerate the development of antibiotic resistance underscoring the need for carefully regulated treatment | strategies | adaptive immune | these findings emphasize that improper dosing whether below or above the prescribed level can accelerate the development of antibiotic resistance underscoring the need for carefully regulated treatment strategies that preserve both antimicrobial effectiveness and immune system integrity |
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