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accordingly several prior studies identified people in videos by comparing their trajectories and wearable | sensor | activity recognition | accordingly several prior studies identified people in videos by comparing their trajectories and wearable sensor measurements |
for typical cortical stimuli tens of milliseconds this places the | functional | cognitive neuroscience | 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 |
adaptive trajectory refinement for optimization-based local | planning | motion planning | adaptive trajectory refinement for optimization-based local planning in narrow passages |
using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing | viral | reproduction number | using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing viral replication as a birth-death process |
our framework unifies riesz regression for automatic debiased | machine | machine learning | our framework unifies riesz regression for automatic debiased machine learning covariate balancing targeted maximum likelihood estimation tmle and density-ratio estimation |
for typical cortical stimuli tens of milliseconds this places the | functional | functional connectivity | 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 |
certification and classification of linear quantum | error | quantum networks | certification and classification of linear quantum error mitigation methods |
this study provides a new perspective for understand | biological | moving mass | this study provides a new perspective for understand biological reaching movement and offers a potential platform for future hydrodynamic research |
in this work we introduce cave the first benchmark of real-world | visual | anomaly detection | in this work we introduce cave the first benchmark of real-world visual anomalies |
we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for | data-driven | optimal control | we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for data-driven stabilization |
the theory conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of | social | complex systems | the theory conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of social energy |
a view-conditional video inpainting model is trained to learn a robust geometry prior by denoising realistically synthesized warped | images | image fusion | a view-conditional video inpainting model is trained to learn a robust geometry prior by denoising realistically synthesized warped images and to inpaint occluded or missing regions across virtual viewpoints eliminating the need for explicit 3d annotations |
symbiosis emergence and abandonment in nature a coordination | game | collective systems | symbiosis emergence and abandonment in nature a coordination game approach |
our main contribution is a set of reductions and decompositions that transform dyck and | tree | tree edit distance | 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 |
this work establishes a new design paradigm for high-efficiency te materials by exploiting substantial orbital overlap in structurally weakly bonded quasi-one-dimensional | systems | electronic structure | this work establishes a new design paradigm for high-efficiency te materials by exploiting substantial orbital overlap in structurally weakly bonded quasi-one-dimensional systems opening promising avenues for the discovery and engineering of next-generation high-performance te materials |
results show consistent integration of non-verbal input into coherent | llm | llm responses | results show consistent integration of non-verbal input into coherent llm outputs with participants highlighting conversational fluidity |
here we aim to characterize misconceptions that users of conversational llm-based assistants may have in | programming | llm reasoning | here we aim to characterize misconceptions that users of conversational llm-based assistants may have in programming contexts |
the projected trends are improved while still declining for birds in particular farmland | species | butterfly species | the projected trends are improved while still declining for birds in particular farmland species under the scenarios that meet the conservation objectives with few effects on butterflies |
these individuals contribute to the spread of the | epidemic | infectious individuals | these individuals contribute to the spread of the epidemic and pose a significant challenge to public health policies |
most networks encountered in nature society and technology have | weighted | network structures | most networks encountered in nature society and technology have weighted edges representing the strength of the interaction association between their vertices |
however it remains unclear which search direction to construct a | gradient | gradient descent | however it remains unclear which search direction to construct a gradient estimator is more appropriate and how to set the algorithmic parameters |
this theory further promotes nonlinear transport as a probe of | geometric | nonlinear transport | this theory further promotes nonlinear transport as a probe of geometric effects and phase transitions in quantum materials |
monte carlo simulations demonstrate that our approach exhibits excellent finite sample performance for both oos prediction and | policy | policy learning | monte carlo simulations demonstrate that our approach exhibits excellent finite sample performance for both oos prediction and policy evaluation |
wimhf characterizes both 1 the preferences a dataset is capable of measuring and 2 the | preferences | preference data | wimhf characterizes both 1 the preferences a dataset is capable of measuring and 2 the preferences that the annotators actually express |
speculative decoding sd accelerates autoregressive generation in serving | systems | speculative decoding | speculative decoding sd accelerates autoregressive generation in serving systems but its behavior under rl training remains largely unexplored |
on hardness and approximation of broadcasting in | sparse | compressed indexing | on hardness and approximation of broadcasting in sparse graphs |
to address these gaps we propose a hybrid visual | tracking | multi-object tracking | to address these gaps we propose a hybrid visual tracking framework that bridges advanced perception with real-time servo control |
our augmented reality experience involves interacting with ever-shifting sound bubbles that the user engages with by stepping into color-coded bubbles within the assigned area using a standalone | ar | augmented reality | our augmented reality experience involves interacting with ever-shifting sound bubbles that the user engages with by stepping into color-coded bubbles within the assigned area using a standalone ar headset |
during exploration lagmemo constructs a unified 3d | language | vision-language models | during exploration lagmemo constructs a unified 3d language memory |
central to the approach is a computationally efficient and continuously differentiable condition for detecting | collisions | obstacle avoidance | central to the approach is a computationally efficient and continuously differentiable condition for detecting collisions with ellipsoidal obstacles |
results show that lower and more homogeneously distributed learning rates promote | scale-free | scale-free networks | results show that lower and more homogeneously distributed learning rates promote scale-free networks while higher or more heterogeneously distributed learning rates lead to the emergence of core-periphery topologies |
bridging a key theoretical challenge in diffusion-based generative modeling our results extend convergence | theory | diffusion models | bridging a key theoretical challenge in diffusion-based generative modeling our results extend convergence theory to more realistic data distributions and practical ode solvers |
estimating the causal dose-response function is challenging particularly when data from a single source are insufficient to estimate responses precisely across all | exposure | causal inference | estimating the causal dose-response function is challenging particularly when data from a single source are insufficient to estimate responses precisely across all exposure levels |
in ate estimation the balancing weights and the regression functions of the outcome play important roles where the | balancing | riesz regression | in ate estimation the balancing weights and the regression functions of the outcome play important roles where the balancing weights are referred to as the riesz representer bias-correction term and clever covariates depending on the context |
we prove that combining diffusion models with an annealed variant of | langevin | langevin dynamics | we prove that combining diffusion models with an annealed variant of langevin dynamics achieves conditional sampling in polynomial time using merely an l 4 bound on the score error |
the key task of machine learning is to minimize the | loss | loss function | the key task of machine learning is to minimize the loss function that measures the model fit to the training data |
understanding the diversity of star formation histories sfhs of galaxies is | key | star formation rates | understanding the diversity of star formation histories sfhs of galaxies is key to reconstructing their evolutionary paths |
building on this insight we propose attncache a framework that accelerates the | prefill | llm post-training | building on this insight we propose attncache a framework that accelerates the prefill stage of llm inference by retrieving and reusing similar attention maps |
exploring emergent topological properties in socio-economic networks through | learning | scale-free networks | exploring emergent topological properties in socio-economic networks through learning heterogeneity |
in our model individuals of one species possess cognitive abilities to perceive environmental cues and assess the local density of the | species | ecological interactions | in our model individuals of one species possess cognitive abilities to perceive environmental cues and assess the local density of the species they dominate in the spatial competition for natural resources |
after a short period of evolution during which physical relevant information can be loaded a quantum weak measurement is | applied | quantum coherence | after a short period of evolution during which physical relevant information can be loaded a quantum weak measurement is applied to the internal state of the atoms |
look at that distractor dynamic translation | gain | translation gain | look at that distractor dynamic translation gain under low perceptual load in virtual reality |
a human-vector susceptible-infected-susceptible model for analyzing and controlling the | spread | infectious individuals | a human-vector susceptible-infected-susceptible model for analyzing and controlling the spread of vector-borne diseases |
allowing the order of quantum operations to exist in superposition is known to | open | quantum mechanics | allowing the order of quantum operations to exist in superposition is known to open new routes for thermodynamic tasks |
inference on local variable importance measures for heterogeneous | treatment | treatment regimes | inference on local variable importance measures for heterogeneous treatment effects |
the structure of relation decoding linear operators in large | language | large language models llms | the structure of relation decoding linear operators in large language models |
these measurements provided useful insights into how water and lubricants were retained and | distributed | measurements demonstrated | these measurements provided useful insights into how water and lubricants were retained and distributed under static conditions |
despite decades of effort simulating individual | mobility | mobility networks | despite decades of effort simulating individual mobility remains challenging because of its complex context-dependent and exploratory nature |
together these findings suggest that while navigational aids presented in | ar | augmented reality | together these findings suggest that while navigational aids presented in ar can enhance search task performance users may pay less attention to the physical environment which could have undesirable side-effects |
the fourth example has two binary and absorbing | treatments | treatment effect boundaries | the fourth example has two binary and absorbing treatments where the second treatment always happens after the first |
5 spectroscopically-confirmed quiescent galaxies in the uds and egs fields at 3 z 5 with nirspec prism spectroscopy from rubies and other public jwst | nirspec | dark matter | 5 spectroscopically-confirmed quiescent galaxies in the uds and egs fields at 3 z 5 with nirspec prism spectroscopy from rubies and other public jwst nirspec programs |
approximately optimal distributed controls for high-dimensional stochastic | systems | predictive control | approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls |
specifically we focus on downlink dl bistatic sensing where the | user | wireless systems | specifically we focus on downlink dl bistatic sensing where the user equipment ue performs measurements from reflected sensing signals and provides feedback to the network nw |
control-var can estimate average treatment effects on the treated for dummy policies or | average | average treatment effect | control-var can estimate average treatment effects on the treated for dummy policies or average causal responses over time for continuous policies |
these findings suggest that resting-state eeg connectivity patterns can index stable | cognitive | cognitive science | these findings suggest that resting-state eeg connectivity patterns can index stable cognitive traits such as creativity |
evontree ontology rule-guided self-evolution of large | language | large language models llms | evontree ontology rule-guided self-evolution of large language models |
by using the meta-algorithm with the measured | continuous | approximation ratio | by using the meta-algorithm with the measured continuous greedy algorithm we obtain a 1-1 e -approximation resp |
here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into | stars | stellar mass | here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into stars particularly in primordial environments |
we review the limitations of current ai methods define core principles of neurocognitive-inspired | intelligence | artificial intelligence | we review the limitations of current ai methods define core principles of neurocognitive-inspired intelligence and propose a modular biologically inspired architecture that emphasizes integration embodiment and adaptability |
we introduce two new city population datasets that use consistent | city | large cities | we introduce two new city population datasets that use consistent city definitions across countries and over time |
the rate improves with the order k increases yielding | better | convergence rate | the rate improves with the order k increases yielding better rates than existing first to third-order approaches |
leveraging this equivalence we propose a novel regularization method for | policy | policy evaluation | leveraging this equivalence we propose a novel regularization method for policy learning |
we begin our journey by recalling the fundamentals of | probability | density estimation | we begin our journey by recalling the fundamentals of probability theory that underlie one of its most significant applications to real-world problems parametric estimation |
we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized | riesz | riesz regression | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
however they exhibit limited exploration due to reliance on on-policy rollouts where confined to the current | policy | policy learning | however they exhibit limited exploration due to reliance on on-policy rollouts where confined to the current policy s distribution resulting in narrow trajectory diversity |
our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the | potential | large language models llms | our results lay a fundamental understanding of how pre-trained llms manipulate numbers and outline the potential of more accurate probing techniques in addressed refinements of llms architectures |
we empirically validate the performance of our online algorithm with | experiments | real-world datasets | we empirically validate the performance of our online algorithm with experiments on real datasets |
robust non-negative proximal gradient algorithm for | inverse | gradient descent | robust non-negative proximal gradient algorithm for inverse problems |
to address this we analyze one year of smartphone position | data | human mobility | to address this we analyze one year of smartphone position data from over one million users in the tokyo metropolitan area to extract high-resolution commuting trajectories |
as a third alternative we propose artificial | intelligence | artificial intelligence | as a third alternative we propose artificial intelligence ai enabled representatives trained on individual shareholder preferences to act as proxies and vote on their behalf |
mightee-hi the hi mass-stellar mass relation of massive galaxies and the | hi | hi mass | mightee-hi the hi mass-stellar mass relation of massive galaxies and the hi mass function at 0 |
reinforcement learning rl algorithms are designed to optimize problem-solving by | learning | reinforcement learning | reinforcement learning rl algorithms are designed to optimize problem-solving by learning actions that maximize rewards a task that becomes particularly challenging in random and nonstationary environments |
modulating the free-electron wave function with light brings new opportunities to create attosecond electron pulse trains to probe the | quantum | photonic circuits | modulating the free-electron wave function with light brings new opportunities to create attosecond electron pulse trains to probe the quantum coherence of systems with significantly improved spatial resolution and to generate classical and non-classical states of light with wide tunability |
the current advancements in beam shaping techniques their impact on the nanoparticle characteristics and their broader implications for scaling pulsed laser | ablation | pulsed laser ablation liquids | the current advancements in beam shaping techniques their impact on the nanoparticle characteristics and their broader implications for scaling pulsed laser ablation in liquids to meet industrial demands are highlighted offering a comprehensive perspective on the future of this dynamic field |
in rigorous in-house evaluations our model was launched and achieved performance even | superior | evaluation metrics | in rigorous in-house evaluations our model was launched and achieved performance even superior to human experts proving our framework s ability to translate offline data into tangible real-world impact |
random utility models rums are a classical framework for modeling user preferences and play a key role in reward modeling for reinforcement | learning | policy learning | random utility models rums are a classical framework for modeling user preferences and play a key role in reward modeling for reinforcement learning from human feedback rlhf |
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 |
we present a dataset generated to investigate | urban | urban systems | we present a dataset generated to investigate urban heat and thermal perception across five neighborhoods in the barcelona metropolitan area |
centered on proposing jne as a novel interpretability metric we validated its effectiveness through controlled simulation experiments on various activation functions and network architectures and further verified it on real fmri data demonstrating a hierarchical progression of | nonlinear | artificial neural | centered on proposing jne as a novel interpretability metric we validated its effectiveness through controlled simulation experiments on various activation functions and network architectures and further verified it on real fmri data demonstrating a hierarchical progression of nonlinear characteristics from primary to ... |
we justify the feasibility of this constraint set and | leverage | bilevel optimization | we justify the feasibility of this constraint set and leverage benamou--brenier s results to establish the existence of a global optimal solution |
model inversion with layer-specific modeling and alignment for data-free | continual | continual learning | model inversion with layer-specific modeling and alignment for data-free continual learning |
an alternative hypothesis is that discrimination is supported by lossy | compression | visual stimuli | an alternative hypothesis is that discrimination is supported by lossy compression of visual inputs efficiently coding sensory information by discarding seemingly irrelevant details |
in this paper we investigate the distinct observational signatures produced from such tde disks by performing radiative | transfer | radiative transfer | in this paper we investigate the distinct observational signatures produced from such tde disks by performing radiative transfer calculations upon previous super-eddington disk simulations |
x-ray and variability selected agn have higher average star formation rates than those | selected | stellar population | x-ray and variability selected agn have higher average star formation rates than those selected with optical narrow line spectroscopic diagrams |
01 pc and follow the gas inflows from the | interstellar | circumgalactic medium | 01 pc and follow the gas inflows from the interstellar medium ism to the black hole bh allowing for the self-consistent emergence of circumnuclear discs cnds |
we show that a classical learning-based method as a simple baseline in real-world affect prediction produces better estimates from | signals | physiological signals | we show that a classical learning-based method as a simple baseline in real-world affect prediction produces better estimates from signals captured on egocentric vision systems than processing physiological signals |
in this two-paper series we present a straightforward mathematical model for synthesizing quasar absorption line profiles from sight lines through idealized spatial-kinematic models of the | circumgalactic | circumgalactic medium | in this two-paper series we present a straightforward mathematical model for synthesizing quasar absorption line profiles from sight lines through idealized spatial-kinematic models of the circumgalactic medium cgm and their host galaxies |
our approach employs linear models to decode spiking activity into multiple latent visual spaces including clip and vdvae embeddings and reconstruct | images | higher-order visual | our approach employs linear models to decode spiking activity into multiple latent visual spaces including clip and vdvae embeddings and reconstruct images using state-of-the-art generative models |
risks and opportunities in human-machine teaming in operationalizing machine learning | target | human-machine teaming | risks and opportunities in human-machine teaming in operationalizing machine learning target variables |
pattern formation in agent-based and pde models for | evolutionary | game theory | pattern formation in agent-based and pde models for evolutionary games with payoff-driven motion |
we present a suite of high-resolution simulations to study how different stellar feedback channels regulate the growth of central intermediate-mass black | holes | black hole mass | we present a suite of high-resolution simulations to study how different stellar feedback channels regulate the growth of central intermediate-mass black holes imbhs in dwarf galaxies hosting nuclear star clusters nscs |
a closed-form approximation-free control law is derived to ensure that each | agent | control strategy | a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding dynamic obstacles while also preventing inter-agent collisions in a socially aware manner and reaching the target within a prescribed time |
the theoretical findings are validated through comprehensive | simulation | simulation studies | the theoretical findings are validated through comprehensive simulation studies |
our agent reliably solves a continuous maze without explicit geometric cues with performance depending on the length of the | recurrent | recurrent neural | our agent reliably solves a continuous maze without explicit geometric cues with performance depending on the length of the recurrent sequence |
spiral structure diversity in milky way analogs from tng50 the | role | quiescent galaxies | spiral structure diversity in milky way analogs from tng50 the role of gas and disk dynamics |
such an approach does not require full access to the | original | existing methods | such an approach does not require full access to the original dataset or the model addressing the challenges of existing methods |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | star formation rates | the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of local group dwarf galaxies |
this entanglement biases conventional brain | encoding | cognitive neuroscience | this entanglement biases conventional brain encoding analyses toward linguistically shallow features e |
we consider the problem of estimating a causal | effect | causal effect | we consider the problem of estimating a causal effect in a multi-domain setting |
the c-ddpm-assisted framework achieves significantly lower estimation errors in both angle and distance tracking demonstrating the potential of generative models for integrated | sensing | integrated sensing | the c-ddpm-assisted framework achieves significantly lower estimation errors in both angle and distance tracking demonstrating the potential of generative models for integrated sensing and communications |
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