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second motivated by the consistency between multi-head self-attention in | transformers | vision transformers | second motivated by the consistency between multi-head self-attention in transformers and semantic level affinity we propose structure-affinity transformation to transform semantic features with class-specific affinity and combine it with a transformer decoder for structure-aware reasoning |
the bound electron-hole pairs known as excitons govern the optical | properties | quantum materials | the bound electron-hole pairs known as excitons govern the optical properties of insulating solids |
empirical evaluations conducted on road networks and synthetic graphs under both dynamic and stationary prize distributions show that 1 the state-aliasing induced by or-conditioning enables | learning | reinforcement learning | empirical evaluations conducted on road networks and synthetic graphs under both dynamic and stationary prize distributions show that 1 the state-aliasing induced by or-conditioning enables learning policies that scale more efficiently to large team sizes than those trained with the global index and 2 policies trained with forl generalize better to imbalanced prize distributions than those with other multi-agent training methods |
we opt to model human driver decisions as a | markov | markov decision | we opt to model human driver decisions as a markov decision process and propose a method for handling collision avoidance between non-convex vehicle shapes by imposing a positive distance constraint between compact sets |
we design a practical reward shaping scheme direction distance obstacle | avoidance | obstacle avoidance | 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 |
graph-theoretical mapping of resting-state | eeg | cognitive science | graph-theoretical mapping of resting-state eeg reveals neural signatures of creativity |
however as typical to any quantum resource | network | quantum channels | however as typical to any quantum resource network nonlocality is also vulnerable to environmental noise which sometimes prove to be detrimental |
trishul technique for reconstructing magnetic | interstellar | galactic disk | trishul technique for reconstructing magnetic interstellar structure using starlight polarization |
however as typical to any quantum resource | network | quantum advantage | however as typical to any quantum resource network nonlocality is also vulnerable to environmental noise which sometimes prove to be detrimental |
the orbital angular momentum oam of light is a versatile | degree | light-matter interactions | the orbital angular momentum oam of light is a versatile degree of freedom with transformative impact across optical communication imaging and micromanipulation |
modern vision-language models vlms excel at many multimodal tasks yet their grasp of | temporal | temporal understanding | modern vision-language models vlms excel at many multimodal tasks yet their grasp of temporal information in video remains weak and crucially under-evaluated |
however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational | advantage | quantum walk | however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational advantage in this area |
we therefore ask whether improving representation learning alone can substantially improve | world-model | representation learning | we therefore ask whether improving representation learning alone can substantially improve world-model performance |
we provide an inferential framework to assess variable importance for heterogeneous | treatment | average treatment effect | we provide an inferential framework to assess variable importance for heterogeneous treatment effects |
revisiting generative infrared and visible image | fusion | vision transformers | revisiting generative infrared and visible image fusion based on human cognitive laws |
understanding the dynamics of the spread of diseases within populations is critical for effective public | health | public health | understanding the dynamics of the spread of diseases within populations is critical for effective public health interventions |
the framework provides practical tools for detecting when localized treatments become systemic and identifying critical thresholds for | policy | policy evaluation | the framework provides practical tools for detecting when localized treatments become systemic and identifying critical thresholds for policy intervention |
central to this advancement is a new class of quasi-bound state in the continuum bessel-type | modes | waveguide modes | central to this advancement is a new class of quasi-bound state in the continuum bessel-type modes emerging from moire-induced interlayer coupling which generate vortex beams with tailored spiral phase distributions |
they are low-mass median log m _ star m _ | odot | stellar mass | they are low-mass median log m _ star m _ odot 8 |
the nonlinear disturbance observer attenuates constant and nonlinear | disturbances | external disturbances | the nonlinear disturbance observer attenuates constant and nonlinear disturbances as well as band-limited white noise |
the fixed-domain result follows immediately from the increasing-domain result from the self-similarity of gaussian | random | random field | the fixed-domain result follows immediately from the increasing-domain result from the self-similarity of gaussian random fields with power-law generalized covariances cite istaslang1997 coeurjolly2001 zhustein2002 |
in the scope of this work we assume a narrowband and static scenario aiming to focus on the | beamforming | beamforming design | in the scope of this work we assume a narrowband and static scenario aiming to focus on the beamforming and power allocation strategies |
the growing success of vision-language-action vla models stems from the promise that pretrained vision-language models vlms can endow agents with transferable world knowledge and vision-language vl grounding laying a foundation for action | models | vision-language models vlms | the growing success of vision-language-action vla models stems from the promise that pretrained vision-language models vlms can endow agents with transferable world knowledge and vision-language vl grounding laying a foundation for action models with broader generalization |
group based reinforcement learning rl has shown impressive results on complex | reasoning | reinforcement learning rl | group based reinforcement learning rl has shown impressive results on complex reasoning and mathematical tasks |
get-use learning generalized tool usage for bimanual mobile | manipulation | tool usage | get-use learning generalized tool usage for bimanual mobile manipulation via simulated embodiment extensions |
it jointly incorporates emph explicit evidence from direct evaluations of selected tasks and emph implicit | evidence | extensive experiments | it jointly incorporates emph explicit evidence from direct evaluations of selected tasks and emph implicit evidence inferred from these evaluations for unselected tasks with thompson sampling ensuring a principled balance between exploration and exploitation |
we systematically explore techniques ranging from logic-based frameworks to computational legal reasoning approaches emphasizing their capability to | ensure | control law | we systematically explore techniques ranging from logic-based frameworks to computational legal reasoning approaches emphasizing their capability to ensure regulatory compliance and interpretability in dynamic and uncertain driving environments |
we present a rigorous mathematical analysis for the | performance | randomized algorithm | we present a rigorous mathematical analysis for the performance of our algorithms |
in this work we study how different cosmic-ray | transport | circumgalactic medium | in this work we study how different cosmic-ray transport mechanisms impact the gamma -ray luminosity of a turbulent multiphase medium formed from an initially diffuse medium |
an understanding of the assembly history of the complex star cluster omega centauri has long been sought after with many studies separating the | stars | star clusters | an understanding of the assembly history of the complex star cluster omega centauri has long been sought after with many studies separating the stars on the color-magnitude diagram into multiple groupings across small magnitude ranges |
we illustrate the framework in an empirical application estimating the | causal | causal inference | we illustrate the framework in an empirical application estimating the causal effect of private health insurance on health outcomes |
this work advances the reliability of emcd as a quantitative tool for magnetic characterization at the nanoscale with unknown | magnetic | magnetic properties | this work advances the reliability of emcd as a quantitative tool for magnetic characterization at the nanoscale with unknown magnetic structures |
our work provides a scalable method to overcome a measurement bottleneck in | cognitive | cognitive neuroscience | our work provides a scalable method to overcome a measurement bottleneck in cognitive science and demonstrates that foundation models can learn a representational geometry that is functionally relevant for modeling key aspects of human cognition such as categorization |
our work lays the foundation for this new direction by establishing upper and | lower | lower bound | our work lays the foundation for this new direction by establishing upper and lower bounds on space complexity of key variants of the problem |
the online method adapts to distribution shifts including human behavior evolving through | interaction | ai systems | the online method adapts to distribution shifts including human behavior evolving through interaction with ai a phenomenon we call human to ai adaptation |
this framework offers a practical analytical tool for | traffic | traffic dynamics | this framework offers a practical analytical tool for traffic engineers and planners to design adaptive signal control and pedestrian safety interventions before crashes occur |
we design polynomial-time approximations to the optimum | online | online algorithm | we design polynomial-time approximations to the optimum online algorithm achieving guarantees of 7 8 for vertex-weighted graphs and 2 sqrt 2 -2 approx 0 |
efficient collision-avoidance constraints for ellipsoidal obstacles in optimal | control | optimal control | efficient collision-avoidance constraints for ellipsoidal obstacles in optimal control application to path-following mpc and uavs |
classical metrics such as the colless and sackin indices quantify | tree | phylogenetic tree | classical metrics such as the colless and sackin indices quantify tree imbalance and have been extensively used to characterize phylogenies |
with this approach we determine and study the hidden spin textures of the upper valence bands of the ptte2 monolayer together with the spatial behavior of the probability densities and spin polarization densities of the corresponding maximally segregated | spin | hidden spin | with this approach we determine and study the hidden spin textures of the upper valence bands of the ptte2 monolayer together with the spatial behavior of the probability densities and spin polarization densities of the corresponding maximally segregated spin states |
prevailing methods often rely on the one-lora-per-effect paradigm which is resource-intensive and fundamentally incapable of generalizing to unseen | effects | extensive experiments | prevailing methods often rely on the one-lora-per-effect paradigm which is resource-intensive and fundamentally incapable of generalizing to unseen effects thus limiting scalability and creation |
brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with | fmri | receptive fields | brain decoding is a key neuroscience field that reconstructs the visual stimuli from brain activity with fmri which helps illuminate how the brain represents the world |
the generic population concept - agent-based model henceforth short gepoc abm is one of the models within gepoc a | generic | large population | the generic population concept - agent-based model henceforth short gepoc abm is one of the models within gepoc a generic concept to model a country s population and its dynamics using causal modelling approaches |
numerical studies based on stochastic gradient | descent | gradient descent | numerical studies based on stochastic gradient descent provide empirical backing for our theoretical findings |
our analysis precisely characterizes conditions under which disparities persist or diminish with a particular focus on the | role | resource allocation | our analysis precisely characterizes conditions under which disparities persist or diminish with a particular focus on the role of the scarcity of available spots in the program and its effectiveness |
the present article avoids these tools and is entirely confined to the | domain | discrete distributions | the present article avoids these tools and is entirely confined to the domain of distribution functions |
galaxy mergers trigger starburst activity and | galactic | dwarf galaxies | galaxy mergers trigger starburst activity and galactic outflows that enrich the circumgalactic medium profoundly impacting galaxy evolution |
accordingly redundancy reduction has been suggested as a prominent design principle of neural | encoding | encoding models | accordingly redundancy reduction has been suggested as a prominent design principle of neural encoding but its mechanistic biological implementation is unclear |
this system includes an additional key quadratic term--a distinction from classical optimal stopping where stopping | conditions | linear control | this system includes an additional key quadratic term--a distinction from classical optimal stopping where stopping conditions depend only on comparing the value function to the instantaneous reward |
fermionic dynamics on a trapped-ion quantum computer beyond exact | classical | quantum technologies | fermionic dynamics on a trapped-ion quantum computer beyond exact classical simulation |
this energy is believed to impact the star formation activity and contribute to the | quenching | active galactic | this energy is believed to impact the star formation activity and contribute to the quenching of galaxies |
first it supports evaluation using a quantum simulator environment beyond conventional python execution allowing feedback of domain-specific metrics such as circuit depth execution time and | error | quantum error correction | first it supports evaluation using a quantum simulator environment beyond conventional python execution allowing feedback of domain-specific metrics such as circuit depth execution time and error classification which can be used to guide better generation |
low probability of detection communication using | noncoherent | communication systems | low probability of detection communication using noncoherent grassmannian signaling |
by fitting up to three three epochs per source with a fully | relativistic | black hole mass | by fitting up to three three epochs per source with a fully relativistic disk model we show that many system properties can be reliably recovered including importantly the black hole mass m_ bullet |
large language models llms have advanced code generation at the function level yet their ability to | produce | models llms | large language models llms have advanced code generation at the function level yet their ability to produce correct class-level implementations in authentic software projects remains poorly understood |
in this paper we propose the first high-resolution hr | motion | point tracking | in this paper we propose the first high-resolution hr motion trajectory estimation framework using diffusion models motdiff |
taking a solution-centric approach we introduce the concept of provably small set of solutions p called a it portfolio such that for every objective function h cdot in the given class mathbf c there exists some solution in | p | approximation guarantee | taking a solution-centric approach we introduce the concept of provably small set of solutions p called a it portfolio such that for every objective function h cdot in the given class mathbf c there exists some solution in p which is an alpha -approximation for h cdot |
the network coding problem asks whether data throughput in a network can be increased using | coding | network coding | the network coding problem asks whether data throughput in a network can be increased using coding compared to treating bits as commodities in a flow |
our method outperforms existing intervention techniques on steering and hallucination mitigation benchmarks for | vlms | models vlms | our method outperforms existing intervention techniques on steering and hallucination mitigation benchmarks for vlms and proposes a robust solution for multimodal model control through activation engineering |
integrated sensing and communication isac enables simultaneous localization | environment | communication isac | integrated sensing and communication isac enables simultaneous localization environment perception and data exchange for connected autonomous vehicles |
moreover since the size of mathcal s grows exponentially with l and t we propose heuristics -- including conditional and deep-learning based approaches -- that exploit these | structural | deep neural | moreover since the size of mathcal s grows exponentially with l and t we propose heuristics -- including conditional and deep-learning based approaches -- that exploit these structural insights while maintaining low computational complexity |
this framework offers a scalable and interpretable approach for context-aware | reasoning | spatial reasoning | this framework offers a scalable and interpretable approach for context-aware reasoning advancing zero-shot generalization in dynamic real-world settings |
we apply our method to variational quantum | algorithm | quantum walk | we apply our method to variational quantum algorithm vqa ansatz design for molecular ground state estimation max-cut and image classification key challenges in near-term quantum computing |
we present a quantum-enhanced protocol for detecting wave-like dark matter using an array of | n | quantum computing | we present a quantum-enhanced protocol for detecting wave-like dark matter using an array of n entangled superconducting cavities initialized in an m -photon fock state |
in robotics likelihood-free inference lfi can provide the domain distribution that adapts a learnt | agent | learning agents | in robotics likelihood-free inference lfi can provide the domain distribution that adapts a learnt agent in a parametric set of deployment conditions |
each state in the controller and observer is replaced with its | estimate | state estimation | each state in the controller and observer is replaced with its estimate from the hgo |
the considered system consists of a multi-antenna access point ap multiple | heterogeneous | wireless systems | the considered system consists of a multi-antenna access point ap multiple heterogeneous user devices uds and an deployed irs to enhance both uplink and downlink transmission |
specifically we design a central agent that dynamically optimizes | context | context length | specifically we design a central agent that dynamically optimizes context length via temporal gradient analysis enhancing exploration to facilitate convergence to global optima in marl |
debiased machine learning typically requires estimation of the | riesz | debiased machine | debiased machine learning typically requires estimation of the riesz representer and the regression function |
we explain these capacities via a computational | cognitive | working memory | we explain these capacities via a computational cognitive model that we call the intuitive gamer |
the higher stress in films grown on copper substrate holder can likely be associated with enhanced ion bombardment due to the | higher | film thickness | the higher stress in films grown on copper substrate holder can likely be associated with enhanced ion bombardment due to the higher electrical conductivity of copper |
inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised | predictive | neural representations | inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised predictive coding modules into meta-rl can facilitate learning of bayes-optimal representations |
in thisproject we have used machine learning techniques like logistic regression random forest and support | vector | support vector machines | in thisproject we have used machine learning techniques like logistic regression random forest and support vector machines to analyze the health claims data and identify demographic and medical factors that play a crucial role in predicting all-cause readmissions |
to address this issue we propose a learning-based | csi | channel state information csi | to address this issue we propose a learning-based csi prediction framework that leverages temporal correlations in wireless channels to forecast future signal to interference plus noise ratio sinr values |
we open-source our complete data generation pipeline and training code providing a reproducible | foundation | synthetic data | we open-source our complete data generation pipeline and training code providing a reproducible foundation for future research |
specifically we first develop a new method called composite | lp-quantile | quantile regression | specifically we first develop a new method called composite lp-quantile regression clpqr |
the walk operates on the space of spanning | trees | spanning trees | the walk operates on the space of spanning trees with marked edges allowing for calculable transition probabilities for use in the metropolis-hastings algorithm |
pinching antenna technology was introduced as a | promising | pinching antenna | pinching antenna technology was introduced as a promising solution to overcome the large-scale fading that has been shown to be an impediment in multiple-input multiple-output mimo systems |
empirical results across several domains show that our algorithms substantially reduce training costs without sacrificing prediction | accuracy | predictive performance | empirical results across several domains show that our algorithms substantially reduce training costs without sacrificing prediction accuracy demonstrating the practical value of our budget-aware deferral algorithms |
we introduce textsc flowq-net flow-based quantum design network a generative framework for automated quantum circuit synthesis based on | generative | generative models | we introduce textsc flowq-net flow-based quantum design network a generative framework for automated quantum circuit synthesis based on generative flow networks gflownets |
to this end we introduce a new dataset covering a wide range of formal patterns of | reasoning | 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 |
by linking behavioral attributes with environmental context mobilitygen reproduces key patterns such as scaling laws for location visits activity time allocation and the coupled evolution of | travel | travel information | by linking behavioral attributes with environmental context mobilitygen reproduces key patterns such as scaling laws for location visits activity time allocation and the coupled evolution of travel mode and destination choices |
cluster 0 associated with lower creativity scores exhibited stronger overall | connectivity | functional connectivity | cluster 0 associated with lower creativity scores exhibited stronger overall connectivity strength reduced modularity and higher local clustering |
we design a deterministic algorithm that given n points in a emph typical constant degree regular graph queries o n distances to output a constant factor approximation to the average distance among those | points | approximation factor | we design a deterministic algorithm that given n points in a emph typical constant degree regular graph queries o n distances to output a constant factor approximation to the average distance among those points thus answering a question posed in cite mn14 |
during inference slideagent selectively activates specialized | agents | language agents | during inference slideagent selectively activates specialized agents for multi-level reasoning and integrates their outputs into coherent context-aware answers |
current paradigms either myopically optimize single-turn attributes or rely on brittle high-cost | user | persona simulation | current paradigms either myopically optimize single-turn attributes or rely on brittle high-cost user simulators creating a persistent reality gap |
across three real-world tasks and two embodiments hi-ors fine-tunes a pi-base policy to master contact-rich | manipulation | multi-robot collaboration | across three real-world tasks and two embodiments hi-ors fine-tunes a pi-base policy to master contact-rich manipulation in just 1 |
this body of theory can accommodate a range of social dilemmas or games as well as real-world complexities such as | spatial | evolutionary game | this body of theory can accommodate a range of social dilemmas or games as well as real-world complexities such as spatial structure or behaviors conditioned on reputations |
here we introduce a methodology to probe the internal geometry of | vision-language | large language models | here we introduce a methodology to probe the internal geometry of vision-language models vlms by having them generate pairwise similarity judgments for a complex set of natural objects |
to complement this we derive a tight upper bound of 2n k-1 for chordal bigraphs and 54n k-1 for grid intersection graphs gig a prominent graph class residing in four ferrers dimensions and capturing planar bipartite graphs as well as bipartite intersection | graphs | regular graphs | to complement this we derive a tight upper bound of 2n k-1 for chordal bigraphs and 54n k-1 for grid intersection graphs gig a prominent graph class residing in four ferrers dimensions and capturing planar bipartite graphs as well as bipartite intersection graphs of rectangles |
we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between | chemical | stellar mass function | we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between chemical and physical parameters |
we propose the first known computationally tractable algorithm for computing the solution to the graves-lai | optimization | bilevel optimization | we propose the first known computationally tractable algorithm for computing the solution to the graves-lai optimization problem which in turn enables the implementation of asymptotically optimal algorithms for this bandit problem |
this work enables us to model the robot s collapse behavior in any open | environment | mobile robots | this work enables us to model the robot s collapse behavior in any open environment and understand the parameters it needs to succeed in 3d navigation tasks |
in this work we study how different cosmic-ray | transport | interstellar medium | in this work we study how different cosmic-ray transport mechanisms impact the gamma -ray luminosity of a turbulent multiphase medium formed from an initially diffuse medium |
this work advances this vision by identifying the fundamental principles of human ai | collaboration | ai assistance | this work advances this vision by identifying the fundamental principles of human ai collaboration within uncertainty quantification a key component of reliable decision making |
here we describe mechanisms of internal and external embodiment in humans and relate these to | current | abstract representations | here we describe mechanisms of internal and external embodiment in humans and relate these to current advances in mllms in early stages of aligning to human representations |
its interactive interface provides a transparent workflow where users can trace validate and refine the | agent | ai agents | its interactive interface provides a transparent workflow where users can trace validate and refine the agent s reasoning supporting both adaptability and trustworthiness |
in this paper we study linear control systems with positive | bounded | linear control | in this paper we study linear control systems with positive bounded orbits |
enhancing ecg classification robustness with lightweight unsupervised | anomaly | anomaly detection | enhancing ecg classification robustness with lightweight unsupervised anomaly detection filters |
we benchmark against a random sampling approach and we find that our optimization-based approach always finds larger | load | optimal power flow | we benchmark against a random sampling approach and we find that our optimization-based approach always finds larger load shedding |
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