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the proposed method extends to nonlinear systems by treating nonlinear terms as bounded | disturbances | bounded disturbances | the proposed method extends to nonlinear systems by treating nonlinear terms as bounded disturbances with rigorous approximation bounds |
to address this challenge researchers have recently introduced the concept of | context | context engineering | to address this challenge researchers have recently introduced the concept of context engineering |
the ability to use random objects as tools in a generalizable manner is a missing piece in | robots | mobile robots | the ability to use random objects as tools in a generalizable manner is a missing piece in robots intelligence today to boost their versatility and problem-solving capabilities |
this study demonstrates that providing language models with | pragmatic | vision-language models | this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context learning approach for tasks to understand implied meanings |
bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum | resources | multipartite entanglement | bell inequality violation is the phenomenon where multiple non-communicating parties can exhibit correlations using quantum resources that are impossible if they can only use classical resources |
surprisingly given its proximity to the quasar in redshift the absorber has strong cold gas characteristics including | ci | absorption line | surprisingly given its proximity to the quasar in redshift the absorber has strong cold gas characteristics including ci and h _2 |
evaluated on a comprehensive dataset from the canadian prairies cypress demonstrates superior performance over existing | deep | deep learning | evaluated on a comprehensive dataset from the canadian prairies cypress demonstrates superior performance over existing deep learning-based yield prediction models highlighting the effectiveness of fine-tuning foundation models for specialized agricultural applications |
topological protection of photon-pair generation in nonlinear | waveguide | photonic devices | topological protection of photon-pair generation in nonlinear waveguide arrays |
we present high-resolution simulations up to 10 10 particles of the disruption of a solar-like star by a 10 6m_sun black hole with the new gpu-based smoothed-particle hydrodynamics code sph-exa including the relativistic apsidal precession of the stellar debris orbits our simulations run from initial | disruption | massive stars | we present high-resolution simulations up to 10 10 particles of the disruption of a solar-like star by a 10 6m_sun black hole with the new gpu-based smoothed-particle hydrodynamics code sph-exa including the relativistic apsidal precession of the stellar debris orbits our simulations run from initial disruption to the ... |
we establish consistency convergence rate and | asymptotic | efficiency bound | we establish consistency convergence rate and asymptotic distribution for the estimator of the bounds |
additionally the dynamics features the periodic transfer of the | spin | spin readout | additionally the dynamics features the periodic transfer of the spin to the maximally stretched state starting from a superposition state |
adaptive context length optimization with low-frequency truncation for multi-agent | reinforcement | continual learning | adaptive context length optimization with low-frequency truncation for multi-agent reinforcement learning |
focusing on a regime in which all candidates prefer the same institution we characterize the large-market equilibrium and derive a closed-form expression for the resulting | representation | representation ratio | focusing on a regime in which all candidates prefer the same institution we characterize the large-market equilibrium and derive a closed-form expression for the resulting representation ratio |
to better control the structures of generated layouts we disentangle the | structural | layout generation | to better control the structures of generated layouts we disentangle the structural information from the element placements |
occupancy analysis of two butterfly species further | confirmed | butterfly species | occupancy analysis of two butterfly species further confirmed these results |
this paper proposes a debiased estimator for | causal | causal inference | this paper proposes a debiased estimator for causal effects in high-dimensional generalized linear models with binary outcomes and general link functions |
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 | 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 present results from crocodile-dwarf a suite of cosmological zoom-in hydrodynamic simulations of isolated field dwarf galaxies with halo | masses | quiescent galaxies | we present results from crocodile-dwarf a suite of cosmological zoom-in hydrodynamic simulations of isolated field dwarf galaxies with halo masses of sim10 10 m_ odot at z 0 performed with the textsc gadget4-osaka code |
with the current progress of artificial intelligence ai technology and its | increasingly | artificial intelligence | with the current progress of artificial intelligence ai technology and its increasingly broader applications trust is seen as a required criterion for ai usage acceptance and deployment |
despite the language s high degree of ambiguity when unvocalized recent machine learning approaches have | significantly | natural language processing | despite the language s high degree of ambiguity when unvocalized recent machine learning approaches have significantly advanced performance on this task |
first hclfuse investigates the quantification theory of | information | dual encoder | first hclfuse investigates the quantification theory of information mapping in unsupervised fusion networks which leads to the design of a multi-scale mask-regulated variational bottleneck encoder |
finally we discuss how multiplex networks fit within the broader framework of decorated | graphs | correlation network | finally we discuss how multiplex networks fit within the broader framework of decorated graphs and how the convergence results can be recovered from the limit theory of decorated graphs |
this further inspires a practical method that uses variational inference to recover these variables and leverages them to train | reward | reward models | this further inspires a practical method that uses variational inference to recover these variables and leverages them to train reward models |
emergent behaviors are a defining feature of complex | systems | emergent behaviors | emergent behaviors are a defining feature of complex systems yet their quantitative characterization remains an open challenge as traditional classifications rely mainly on visual inspection of spatio-temporal patterns |
4 the siren x-ray and optical emissions take over each other twice per | cycle | emission line | 4 the siren x-ray and optical emissions take over each other twice per cycle possibly with two different peak x-ray fluxes within one cycle |
to address these limitations we propose securereviewer a new approach designed for enhancing llms ability to identify and resolve security-related issues during | code | code review | to address these limitations we propose securereviewer a new approach designed for enhancing llms ability to identify and resolve security-related issues during code review |
while recent breakthroughs in computer vision cv and artificial intelligence ai have driven remarkable progress the field still faces a critical challenge as knowledge remains fragmented across | multimodal | computer vision | while recent breakthroughs in computer vision cv and artificial intelligence ai have driven remarkable progress the field still faces a critical challenge as knowledge remains fragmented across multimodal perception contextual reasoning and cooperative intelligence |
this paper proposes a noncoherent low probability of detection lpd | communication | wireless communication | this paper proposes a noncoherent low probability of detection lpd communication system based on direct sequence spread spectrum dsss and grassmannian signaling |
our findings thus interpret linear relational decoding in transformer | language | language models | our findings thus interpret linear relational decoding in transformer language models as primarily property-based rather than relation-specific |
we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized | riesz | debiased machine learning | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
to unlock further sis potential we propose a nonlinear | sis | nonlinear sis | to unlock further sis potential we propose a nonlinear sis that can mimic the behaviour of nonlinear neural networks |
linearly transforming stimulus representations of deep neural networks yields | high-performing | deep learning | linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli |
this study constructs financial networks using the local gaussian | correlation | correlation network | this study constructs financial networks using the local gaussian correlation coefficients between tail regions of stock returns in the shanghai stock exchange |
this formulates the problem as a co-optimization setup to i optimize the data processing and ii | optimally | efficiently solving | this formulates the problem as a co-optimization setup to i optimize the data processing and ii optimally allocate the computing resources |
our focus is on theory and reproducible algorithms | empirical | practical performance | our focus is on theory and reproducible algorithms empirical benchmarking is optional |
their structural configuration as well as on the presence and nature of | atomic | electronic structure | their structural configuration as well as on the presence and nature of atomic defects |
these findings demonstrate the potential of ai | agents | human-ai interaction | these findings demonstrate the potential of ai agents to move beyond process partners toward colleagues that share intent strengthen group dynamics and collaborate with humans to advance ideas |
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 | policy 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 datas... |
in addition to the vertical excitation the effect of structural relaxation is also estimated using analytical | atomic | atomic force | in addition to the vertical excitation the effect of structural relaxation is also estimated using analytical atomic forces |
our key insight is to reframe the offline policy | learning | reinforcement learning rl | our key insight is to reframe the offline policy learning problem by leveraging the textbf observed future of each expert trajectory |
using this framing we derive bounds on the success of | collective | collective action | using this framing we derive bounds on the success of collective action |
grounded in the theory of neural dynamics we derive closed-form expressions for the duration of perceptual dominance and | suppression | human cognition | grounded in the theory of neural dynamics we derive closed-form expressions for the duration of perceptual dominance and suppression and for the degree of hysteresis i |
because ground-truth his are unavailable a semi-supervised and an unsupervised approach are proposed i a diversity | deep | deep learning | because ground-truth his are unavailable a semi-supervised and an unsupervised approach are proposed i a diversity deep semi-supervised anomaly detection diversity-deepsad approach augmented with continuous auxiliary labels used as hypothetical damage proxies which overcomes the limitation of prior binary labels that o... |
our work provides a framework for determining when | fitness | population genetics | our work provides a framework for determining when fitness inference is feasible from population-wide whole-genome time-stratified data and highlights settings where it is not |
low-rank adaptation lora has become a popular technique for parameter-efficient fine-tuning of large | language | large language | low-rank adaptation lora has become a popular technique for parameter-efficient fine-tuning of large language models llms |
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 | host galaxy | 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 |
while these deployments of ai in the street have attracted significant media attention and public controversy in recent years the presence of ai in the | street | everyday publics | while these deployments of ai in the street have attracted significant media attention and public controversy in recent years the presence of ai in the street often remains inscrutable and many everyday publics are unaware of it |
solving power system capacity expansion planning cep problems at realistic | spatial | expansion planning | solving power system capacity expansion planning cep problems at realistic spatial resolutions is computationally challenging |
to address this problem we present a vision-based reinforcement | learning | reinforcement learning | to address this problem we present a vision-based reinforcement learning approach that incorporates a stress-penalized reward to discourage damage to the object explicitly |
we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born | stars | stellar population | we track the stellar populations in bulges back in time to their birth location classifying them as bulge-born in-situ and disk-born stars and accreted |
beyond this proof of concept empathic prompting points to applications in chatbot-mediated communication particularly in domains like healthcare or education where users | emotional | empathic prompting | beyond this proof of concept empathic prompting points to applications in chatbot-mediated communication particularly in domains like healthcare or education where users emotional signals are critical yet often opaque in verbal exchanges |
tensor network methods strike a middle ground between fully-fledged quantum computing and classical computing as they take inspiration from | quantum | quantum dot | tensor network methods strike a middle ground between fully-fledged quantum computing and classical computing as they take inspiration from quantum systems to significantly speed up certain classical operations |
the phase transition is quite robust and becomes progressively conspicuous in the limit of large population | size | phase transition | the phase transition is quite robust and becomes progressively conspicuous in the limit of large population size where deterministic evolutionary game dynamics viz |
in this work we propose missynth a pipeline that applies retrieval-augmented generation rag to produce synthetic fallacy samples which are then used to fine-tune an | llm | models llms | in this work we propose missynth a pipeline that applies retrieval-augmented generation rag to produce synthetic fallacy samples which are then used to fine-tune an llm model |
super-eddington accretion is a crucial phase in the growth of | supermassive | black hole | super-eddington accretion is a crucial phase in the growth of supermassive black holes |
the primary outcome was a composite z-score combining four | cognitive | cognitive science | the primary outcome was a composite z-score combining four cognitive tests |
in this paper we investigate the asymptotic behavior of some sir models incorporating demography bounded random | transmission | disease transmission | in this paper we investigate the asymptotic behavior of some sir models incorporating demography bounded random transmission coefficient and a time-dependent vaccination strategy targeting the susceptible population |
we close by distinguishing these qualitative changes from density-dependent phase transitions and by discussing how our approach could generalize to broader classes of | collective | collective systems | we close by distinguishing these qualitative changes from density-dependent phase transitions and by discussing how our approach could generalize to broader classes of collective behaviors |
spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the | milky | quiescent galaxies | spiral features appear across stellar populations of different ages confirming their density-wave nature and producing coherent spirals in both metallicity and mean stellar age distributions-consistent with recent gaia observations of the milky way |
the language of thought lot hypothesis posits that at least some important | cognitive | working memory | the language of thought lot hypothesis posits that at least some important cognitive processes involve language-like representations |
we successfully generate a three-photon genuinely entangled state from two bi-separable states via local operations and classical communication | demonstrating | single photons | we successfully generate a three-photon genuinely entangled state from two bi-separable states via local operations and classical communication demonstrating superactivation of genuine multipartite entanglement |
this paper also considers energy consumption in the path planning of automated guided | vehicles | autonomous driving | this paper also considers energy consumption in the path planning of automated guided vehicles agvs |
we propose reasoning curriculum a simple two-stage curriculum that first elicits reasoning skills in pretraining-aligned domains such as math then adapts and refines these | skills | reasoning tasks | we propose reasoning curriculum a simple two-stage curriculum that first elicits reasoning skills in pretraining-aligned domains such as math then adapts and refines these skills across other domains via joint rl |
effective-hamiltonian reconstruction through bloch-wave interferometry in | bulk | bulk gaas | effective-hamiltonian reconstruction through bloch-wave interferometry in bulk gaas driven by strong thz fields |
this opens up a potential cognitive attack in which adversaries might create conditions that make an ar user not | recall | object recall | this opens up a potential cognitive attack in which adversaries might create conditions that make an ar user not recall certain potentially mission-critical objects |
it has been proven that super-heisenberg scaling can be achieved when the | hamiltonian | super-heisenberg scaling | it has been proven that super-heisenberg scaling can be achieved when the hamiltonian of the system involves many-body interactions or the time-dependent terms |
we show that at these stages the full spectral | energy | spectral energy distribution | we show that at these stages the full spectral energy distribution - x-ray spectra and uv optical photometry - is well described by a compact yet standard accretion disk the same disk which powers the x-rays at all times |
we evaluate 15 foundation models across 79 problems spanning eight | academic | foundation models | we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics biology statistics calculus and optimization through three experimental phases 1 baseline establishment six models mixtral-8x7b phi-3 llama 3 |
however deploying deep learning models for automated analysis in resource-constrained environments faces | reliability | deep learning | however deploying deep learning models for automated analysis in resource-constrained environments faces reliability challenges due to inevitable out-of-distribution ood data |
to this end inas qds are integrated in a hybrid photon-phonon patterned microcavity where the density of optical | states | quantum technologies | to this end inas qds are integrated in a hybrid photon-phonon patterned microcavity where the density of optical states is tailored by the lateral confinement of photons in um-sized traps defined lithographically in the microcavity spacer |
evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future | environmental | ecological interactions | evolutionary systems must learn to generalize often extrapolating from a limited set of selective conditions to anticipate future environmental changes |
zip codes demonstrates exponential spatial | decay | spatial decay | zip codes demonstrates exponential spatial decay for healthcare access kappa 0 |
keywords small language models factual grounding directed | reasoning | ai literacy | keywords small language models factual grounding directed reasoning fine-tuning model alignment cost-efficient ai |
the analytical calculation of suitable precodings for perfect | channel | channel state information | the analytical calculation of suitable precodings for perfect channel information is well studied however their performance can quickly deteriorate when faced with e |
adasdbo leverages adaptive stepsizes based on cumulative | gradient | gradient descent | adasdbo leverages adaptive stepsizes based on cumulative gradient norms to update all variables simultaneously dynamically adjusting its progress and eliminating the need for problem-specific hyperparameter tuning |
formation planning provides better performance by minimizing a surrogate cost function that closely approximates the original | cost | optimal control | formation planning provides better performance by minimizing a surrogate cost function that closely approximates the original cost function instead of relying on a shape abstraction |
the source code used to conduct the experiments | presented | extensive experiments | the source code used to conduct the experiments presented in this paper is made freely available |
understanding how individual learning behavior and structural dynamics interact is essential to modeling | emergent | emergent behaviors | understanding how individual learning behavior and structural dynamics interact is essential to modeling emergent phenomena in socioeconomic networks |
in this control algorithm each host vehicle negotiates with other agents in a control zone of the highway network and enacts its own action to perform | safe | optimal control | in this control algorithm each host vehicle negotiates with other agents in a control zone of the highway network and enacts its own action to perform safe and energy-efficient merge maneuvers |
reducing the readout duration speeds up cycles and reduces decoherence errors that accumulate while | qubits | qubit readout | reducing the readout duration speeds up cycles and reduces decoherence errors that accumulate while qubits idle but it also lowers the number of collected photons making measurements noisier and more error-prone |
in this work we attempt to add robustness into existing region proposal network-deep convolutional neural network rpn-dcnn object | detection | object detection | in this work we attempt to add robustness into existing region proposal network-deep convolutional neural network rpn-dcnn object detection networks through two distinct scene-based information fusion techniques |
approximate nearest neighbor ann search and approximate kernel density | estimation | machine learning | approximate nearest neighbor ann search and approximate kernel density estimation a-kde are fundamental problems at the core of modern machine learning with broad applications in data analysis information systems and large-scale decision making |
our results reveal an unambiguous detection of faint | extended | emission line | our results reveal an unambiguous detection of faint extended emission in the f444w band with a typical size of 200 parsecs and magnitude of 27 |
we apply inputdsa on recurrent neural networks rnns trained with deep | reinforcement | reinforcement learning | we apply inputdsa on recurrent neural networks rnns trained with deep reinforcement learning identifying that high-performing networks are dynamically similar to one another while low-performing networks are more diverse |
actions are equally fundamental in the modeling of stochastic | processes | diffusion models | actions are equally fundamental in the modeling of stochastic processes as they trigger discontinuous state transitions and enable the flow of information through large complex systems |
our theoretical results highlight the crucial role played by the regularity of the boundary a one-dimensional manifold over which | identification | nonparametric identification | our theoretical results highlight the crucial role played by the regularity of the boundary a one-dimensional manifold over which identification estimation and inference are conducted |
yet in the domain of tool learning the lack of rms specifically | designed | reinforcement learning rl | yet in the domain of tool learning the lack of rms specifically designed for function-calling tasks has limited progress toward more capable agentic ai |
large language models llms commonly boost reasoning via sample-evaluate-ensemble decoders achieving | label | large language | large language models llms commonly boost reasoning via sample-evaluate-ensemble decoders achieving label free gains without ground truth |
our results include that finding a solution is fixed-parameter tractable with respect to the vertex cover number of the food web assuming the | phylogenetic | phylogenetic diversity | our results include that finding a solution is fixed-parameter tractable with respect to the vertex cover number of the food web assuming the phylogenetic tree is a star |
this review highlights the critical role of beam shaping encompassing spatial shaping of the | beam | beam shaping | this review highlights the critical role of beam shaping encompassing spatial shaping of the beam to influence laser-material interaction and temporal modification to optimize pulse duration and energy delivery |
this work provides a robust and adaptable framework to support transparent evidence-based policymaking for mitigating public | health | public health | this work provides a robust and adaptable framework to support transparent evidence-based policymaking for mitigating public health crises |
ai predictive systems are increasingly embedded in | decision | artificial intelligence | ai predictive systems are increasingly embedded in decision making pipelines shaping high stakes choices once made solely by humans |
spiking patches asynchronous sparse and efficient tokens for | event | event cameras | spiking patches asynchronous sparse and efficient tokens for event cameras |
the learned features enable effective data | curation | data curation | the learned features enable effective data curation re-labeling the harmful examples in arena yields large safety gains 37 with no cost to general performance |
despite its longstanding presence and significant attention within the optimization community most works focusing on understanding its | convergence | linear convergence | despite its longstanding presence and significant attention within the optimization community most works focusing on understanding its convergence guarantees assume the strong l-lipschitz condition |
when such estimates are insufficient to extrapolate effects for broader policy questions such as external | validity | causal inference | when such estimates are insufficient to extrapolate effects for broader policy questions such as external validity and general-equilibrium ge effects researchers combine trials with external evidence from reduced-form or structural observational estimates or prior experiments |
this allows us to infer a dense turn-by-turn | reward | reward density | this allows us to infer a dense turn-by-turn reward signal grounded in the expert s revealed strategy decomposing the intractable long-horizon problem into a series of supervised learning tasks and training a policy to output a structured texttt action state_assessment tuple governing both textbf what to ask and crucia... |
however by reducing complex cost functions to formations discrepancies arise between maintaining the shape and minimizing the original | cost | cost function | however by reducing complex cost functions to formations discrepancies arise between maintaining the shape and minimizing the original cost function |
lateral ventricular brain-computer interface system with lantern-inspired | electrode | electroencephalography eeg | lateral ventricular brain-computer interface system with lantern-inspired electrode for stable performance and memory decoding |
our results highlight the need for simpler models that align with the available data and propose a distribution-based approach to better capture ecosystem | diversity | ecological communities | our results highlight the need for simpler models that align with the available data and propose a distribution-based approach to better capture ecosystem diversity stability and competition |
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