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incorporating social awareness into control of unknown multi-agent | systems | multi-robot collaboration | incorporating social awareness into control of unknown multi-agent systems a real-time spatiotemporal tubes approach |
despite many years of research the quest to identify neural correlates of perceptual | consciousness | surrogate brain | despite many years of research the quest to identify neural correlates of perceptual consciousness ncc remains unresolved |
we introduce ztrs zero-imitation end-to-end autonomous | driving | autonomous driving | we introduce ztrs zero-imitation end-to-end autonomous driving with trajectory scoring a framework that combines the strengths of both worlds sensor inputs without losing information and rl training for robust planning |
together our findings reveal how information retrieval | demands | working memory | together our findings reveal how information retrieval demands model architecture and structural attention dynamics during model training can jointly produce positional bias observed in llms |
we advance mechanistic interpretability in medical vision by applying medical | sparse | sparse autoencoders | we advance mechanistic interpretability in medical vision by applying medical sparse autoencoders medsaes to the latent space of medclip a vision-language model trained on chest radiographs and reports |
pose refinement is guided by a probabilistic lidar-based depth consistency term back-propagated through the | camera | depth estimation | pose refinement is guided by a probabilistic lidar-based depth consistency term back-propagated through the camera projection to tighten geometry-appearance coupling |
we propose that this behavior is not simply a flaw indicative of information loss but an adaptation to different information retrieval demands during pre-training some tasks require uniform recall across the entire input a long-term memory | demand | continual learning | we propose that this behavior is not simply a flaw indicative of information loss but an adaptation to different information retrieval demands during pre-training some tasks require uniform recall across the entire input a long-term memory demand while others prioritize the most recent information a short-term memory demand |
we suggest that the robustness of connectivity is enhanced by constructing long | loops | network structures | we suggest that the robustness of connectivity is enhanced by constructing long loops of o log n |
constructing a quantum algorithm for this problem with a query complexity improving the upper bound o | n | query complexity | constructing a quantum algorithm for this problem with a query complexity improving the upper bound o n 7 4 is an open problem |
we utilise a deep learning model fine-tuned on galaxy zoo volunteer classifications to identify strongly and weakly | barred | host galaxy | we utilise a deep learning model fine-tuned on galaxy zoo volunteer classifications to identify strongly and weakly barred and unbarred disc galaxies in hyper suprime-cam subaru strategic program i -band images |
we apply this theory to identify the geometric mechanisms of | third-order | third-order nonlinear | we apply this theory to identify the geometric mechanisms of third-order nonlinear transport in materials both with and without time-reversal symmetry such as 2d materials topological materials and altermagnets |
in this scenario a large language model llm based | conversational | large language | in this scenario a large language model llm based conversational agent ca was designed to check in with drivers and re-engage them with their surroundings |
experiments demonstrate that policies trained with fieldgen achieve higher success rates and improved stability compared to teleoperation-based baselines while significantly | reducing | human-machine teaming | experiments demonstrate that policies trained with fieldgen achieve higher success rates and improved stability compared to teleoperation-based baselines while significantly reducing human effort in long-term real-world data collection |
in contrast to conventional hypothesis-driven biophysical models the ai-based | surrogate | surrogate brain | in contrast to conventional hypothesis-driven biophysical models the ai-based surrogate brain encompasses a broad spectrum of data-driven approaches to solve the inverse problem with the primary objective of accurately predicting future whole-brain dynamics with historical data |
then a cable length generator has been developed that achieves online optimization of the cable length while satisfying state constraints thus balancing the multirotor s motion and | cable | cable length | then a cable length generator has been developed that achieves online optimization of the cable length while satisfying state constraints thus balancing the multirotor s motion and cable length changes without the need for manual trajectory planning |
while ai-assisted participants completed several | tasks | human-ai interaction | while ai-assisted participants completed several tasks faster and more accurately no significant pre-post differences emerged in standardized measures of problem solving or verbal comprehension |
to formalize this we extend the concept of data informativity by requiring the existence of a controller that stabilizes all systems consistent with the data and the | prior | predictive control | to formalize this we extend the concept of data informativity by requiring the existence of a controller that stabilizes all systems consistent with the data and the prior knowledge |
a closed-form approximation-free control law is derived to ensure that each agent remains within its evolving stt thereby avoiding | dynamic | predictive control | 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 |
through expert-centered case studies and quantitative evaluation we show that sia effectively discovers diverse and meaningful insights from social media while supporting human-agent | collaboration | ai agents | through expert-centered case studies and quantitative evaluation we show that sia effectively discovers diverse and meaningful insights from social media while supporting human-agent collaboration in complex analytical tasks |
additionally we propose adaptive angular steering a selective variant that rotates only activations aligned with the | target | angular steering | additionally we propose adaptive angular steering a selective variant that rotates only activations aligned with the target feature further enhancing stability and coherence |
i develop a comprehensive theoretical framework for dynamic | spatial | dynamic spatial | i develop a comprehensive theoretical framework for dynamic spatial treatment effect boundaries using continuous functional definitions grounded in navier-stokes partial differential equations |
the simulator enables codesign of source filtering and feedforward settings for specific quantum memories and integrates as a building block for end to end quantum | network | quantum key distribution | the simulator enables codesign of source filtering and feedforward settings for specific quantum memories and integrates as a building block for end to end quantum network studies |
bike-sharing systems bss are key components of | urban | urban systems | bike-sharing systems bss are key components of urban mobility promoting active travel and complementing public transport |
while a multi-agent approach based on large language models llms represents a promising strategy to surpass the | capabilities | language agents | while a multi-agent approach based on large language models llms represents a promising strategy to surpass the capabilities of single models its success is critically dependent on synergistic team composition |
the ac optimal power flow ac-opf problem is central to | power | inverse optimal issf | the ac optimal power flow ac-opf problem is central to power system operation but challenging to solve efficiently due to its nonconvex and nonlinear nature |
such integration is particularly beneficial for | visual | visual navigation | such integration is particularly beneficial for visual tasks like simultaneous localization and mapping slam where cnn representations enriched with spatially attentive object locations can enhance performance |
this capability is particularly relevant for active photonic circuits that generate | quantum | optical communication | this capability is particularly relevant for active photonic circuits that generate quantum light directly on-chip |
comparison with exact quantum-mechanical results in one- and two-dimensional | models | quantum advantage | comparison with exact quantum-mechanical results in one- and two-dimensional models demonstrates that it has a reasonably high accuracy similar to that reported for instanton theory in the symmetric case |
it emphasizes traceability interpretability and data-driven decision making offering a unified human-understandable framework for machine learning and achieves at or near state-of-the-art performance across most common | machine | debiased machine learning | it emphasizes traceability interpretability and data-driven decision making offering a unified human-understandable framework for machine learning and achieves at or near state-of-the-art performance across most common machine learning tasks |
in this paper we study the truncated random | return | random return | in this paper we study the truncated random return in the distributional lqr |
bots a unified framework for bayesian online task selection in llm | reinforcement | reinforcement learning rl | bots a unified framework for bayesian online task selection in llm reinforcement finetuning |
our method is interpretable and can easily be adapted to other | datasets | machine learning | our method is interpretable and can easily be adapted to other datasets offering many future directions for research and practical applications |
however conventional moe inference approaches which select active experts independently at each layer often introduce | considerable | moe inference | however conventional moe inference approaches which select active experts independently at each layer often introduce considerable latency because of frequent parameter transfers between host and gpu memory |
formation control simplifies minimizing multi-robot cost functions by encoding a | cost | cost function | formation control simplifies minimizing multi-robot cost functions by encoding a cost function as a shape the robots maintain |
integrated sensing and communication isac is a key enabler in 6g networks where | sensing | communication isac | integrated sensing and communication isac is a key enabler in 6g networks where sensing and communication capabilities are designed to complement and enhance each other |
census demographic distributions authentic twitter network topology and heterogeneous large | language | large language models llms | census demographic distributions authentic twitter network topology and heterogeneous large language model llm agents to examine the effect of mobilization messages on voter turnout |
grid cells in the medial entorhinal cortex provide a periodic spatial | code | neural codes | grid cells in the medial entorhinal cortex provide a periodic spatial code that are organized near a toroidal manifold independent of the spatial environment |
the stochastic evolutionary game dynamics in the regime of replication-selection reveals the | emergence | emergent behaviors | the stochastic evolutionary game dynamics in the regime of replication-selection reveals the emergence of spiteful behaviour as a dominant behaviour via a first order phase transition -- a discontinuous jump in the frequency of spiteful individuals at a threshold value of prejudicity |
bulge stars were divided into sub-samples with line-of-sight velocity dispersion analyzed and the | peaks | bulge stars | bulge stars were divided into sub-samples with line-of-sight velocity dispersion analyzed and the peaks of mdf were detected by both gaussian mixture models gmm and texttt scipy |
next the max-min objective function can be approximated using a differentiable | function | optimization problem | next the max-min objective function can be approximated using a differentiable function derived from smooth approximation theory |
numerical results reveal that the proposed approach significantly improves estimation accuracy compared with conventional parameterized dms and other baseline methods particularly in cases with limited | pilot | pilot overhead | numerical results reveal that the proposed approach significantly improves estimation accuracy compared with conventional parameterized dms and other baseline methods particularly in cases with limited pilot overhead |
reinforcement learning from human feedback rlhf has emerged as a key technique for post-training large | language | reward models | reinforcement learning from human feedback rlhf has emerged as a key technique for post-training large language models |
integrated sensing and communication isac enables simultaneous localization environment perception and data exchange for connected | autonomous | integrated sensing | integrated sensing and communication isac enables simultaneous localization environment perception and data exchange for connected autonomous vehicles |
the proposed szbvarx offers g7 policymakers a transparent well calibrated tool for modern | macroeconomic | monetary policy | the proposed szbvarx offers g7 policymakers a transparent well calibrated tool for modern macroeconomic forecasting under pervasive uncertainty |
we resolve this question by proving a sharp | lower | lower bound | we resolve this question by proving a sharp lower bound of n log varepsilon -1 n log e - o n bits for varepsilon o 1 regardless of operation time |
artificial intelligence systems based on large | language | ai literacy | artificial intelligence systems based on large language models llms can now generate coherent text music and images yet they operate without a persistent state each inference reconstructs context from scratch |
notably we show monotonicity properties of the frontier building on which we transform the bi-objective | problem | inverse optimal | notably we show monotonicity properties of the frontier building on which we transform the bi-objective problem into several single-objective problems |
we propose to quantify how long temporal patterns appear without relying on their repetition or singularity enabling to extract such temporal | patterns | temporal patterns | we propose to quantify how long temporal patterns appear without relying on their repetition or singularity enabling to extract such temporal patterns from a small dataset |
2024 develops riesz regression for automatic | debiased | debiased machine learning | 2024 develops riesz regression for automatic debiased machine learning which directly estimates the riesz representer or equivalently the bias-correction term by minimizing the mean squared error |
stochastic agent-based simulations confirm these results demonstrating a direct correspondence between tau and the average number of secondary infections in the early | epidemic | infectious individuals | stochastic agent-based simulations confirm these results demonstrating a direct correspondence between tau and the average number of secondary infections in the early epidemic phase in line with the interpretation of mathcal r_0 |
these findings suggest that reinforcement | learning | reinforcement learning rl | these findings suggest that reinforcement learning approaches can be effectively adapted for use in random nonstationary and reward-sparse environments |
sequences of logits reveal the low rank structure of | language | language models | sequences of logits reveal the low rank structure of language models |
this study introduces a two-dimensional opinion model that classifies | voters | opinion dynamics | this study introduces a two-dimensional opinion model that classifies voters into five groups enabling precise characterization of the swing group s interactive behaviors |
it is observed that for thinner as-deposited chromium | films | film thickness | it is observed that for thinner as-deposited chromium films the stress showed a pronounced irreversible increase when measured immediately after deposition and after several days of aging |
we first formalize weaker conditions for identification which | motivates | covariate balancing | we first formalize weaker conditions for identification which motivates estimators that can efficiently control for many covariates |
the tn network comprises three ground station nodes each of which are equipped to support direct-detection bidirectional optical | communication | optical communication | the tn network comprises three ground station nodes each of which are equipped to support direct-detection bidirectional optical communication with leo spacecraft |
in this paper we study the multi-source multicast network | coding | network coding | in this paper we study the multi-source multicast network coding problem in undirected graphs |
in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for | computing | quantum computing | in this work we extend our previous work on the extrapolation of single-time observables to demonstrate an efficient scheme for computing two-time impurity correlation functions by combining the non-markovian quantum mpemba effect nmqmpe with a dynamical map-based framework for open quantum systems |
we present brain-it a brain-inspired approach that addresses this challenge through a brain interaction transformer bit allowing effective | interactions | brain decoding | we present brain-it a brain-inspired approach that addresses this challenge through a brain interaction transformer bit allowing effective interactions between clusters of functionally-similar brain-voxels |
in addition to detailing the system we also share the empirical mode transfer matrices enabling future work in astrophotonic | design | integrated photonics | in addition to detailing the system we also share the empirical mode transfer matrices enabling future work in astrophotonic design computational imaging device fabrication feedback loops and beam shaping |
progressive prompt engineering experiments demonstrate that analytical query handling without explicit guidance remains unreliable despite models general | reasoning | reasoning capabilities | progressive prompt engineering experiments demonstrate that analytical query handling without explicit guidance remains unreliable despite models general reasoning capabilities |
however global prompt tuning struggles to generalize across heterogeneous clients while personalized | tuning | prompt tuning | however global prompt tuning struggles to generalize across heterogeneous clients while personalized tuning overfits to local data and lacks generalization |
models must appropriately capture both aleatoric and epistemic uncertainty to effectively combine fine-grained local insights with broader | ecological | ecological communities | models must appropriately capture both aleatoric and epistemic uncertainty to effectively combine fine-grained local insights with broader ecological patterns |
by synthesizing the current state of rl algorithm development and implications for pse this work identifies successes challenges trends and outlines | avenues | computationally efficient | by synthesizing the current state of rl algorithm development and implications for pse this work identifies successes challenges trends and outlines avenues for future research at the interface of these fields |
the method is particularly effective when treatment effects are small relative to the variability of | outcomes | average treatment effect | the method is particularly effective when treatment effects are small relative to the variability of outcomes which is often the case in empirical applications |
lagmemo language 3d gaussian splatting memory for multi-modal open-vocabulary multi-goal | visual | multi-goal visual | lagmemo language 3d gaussian splatting memory for multi-modal open-vocabulary multi-goal visual navigation |
evaluated on benchmark datasets our method achieves a high | time-series | time series | evaluated on benchmark datasets our method achieves a high time-series aware f1 score taf1 of 89 |
several future directions are outlined for further developing the | multiplex | multiplex networks | several future directions are outlined for further developing the multiplex limit theory |
at the neural level sensorimotor disruptions elicited robust event-related potential effects at fcz and pz accompanied by | increases | sensorimotor disruptions | at the neural level sensorimotor disruptions elicited robust event-related potential effects at fcz and pz accompanied by increases in frontal midline theta and posterior alpha suppression |
in addition to the vertical excitation the effect of structural relaxation is also estimated using analytical | atomic | atomic force microscopy | in addition to the vertical excitation the effect of structural relaxation is also estimated using analytical atomic forces |
these findings highlight challenges in achieving logical consistency in llms normative | reasoning | reasoning curriculum | these findings highlight challenges in achieving logical consistency in llms normative reasoning and provide insights for enhancing their reliability |
however the effectiveness of this process in atomically thin flakes and the extent of the | magnetic | magnetic properties | however the effectiveness of this process in atomically thin flakes and the extent of the magnetic tunability remain unclear |
we further characterize the minimax high-probability | risk | minimax risk | we further characterize the minimax high-probability risk for any estimator and demonstrate that it can be attained through a simple smoothing strategy |
by manipulating the spectral content of both the target and distractor we found that the upper limit was reduced if and only if the | distractor | visual stimuli | by manipulating the spectral content of both the target and distractor we found that the upper limit was reduced if and only if the distractor spectrally overlaps with the target in the frequency range relevant for front back discrimination energetic masking thus explains the upper limit reduction by the distractor |
stacked intelligent surfaces sis are a promising technology for next-generation | wireless | wireless systems | stacked intelligent surfaces sis are a promising technology for next-generation wireless systems offering an opportunity to enhance communication performance with low power consumption |
this formulation progressively reduces projection errors particularly in challenging scenarios with large viewpoint variations and sparse feature | distributions | image reconstruction | this formulation progressively reduces projection errors particularly in challenging scenarios with large viewpoint variations and sparse feature distributions where traditional methods struggle |
however no analytic expression exists for the viral population at the cellular level when the completion time for each process constituting | viral | viral replication | however no analytic expression exists for the viral population at the cellular level when the completion time for each process constituting viral replication is a random variable |
perception learning a formal separation of sensory representation learning from | decision | policy learning | perception learning a formal separation of sensory representation learning from decision learning |
this method has profound implications for the design of quantum | networks | multipartite entanglement | this method has profound implications for the design of quantum networks where preservation and purification of entanglement with minimal resource overhead is critical |
vision-language-action vla models have significantly advanced robotic manipulation by integrating vision-language | models | vision-language models vlms | vision-language-action vla models have significantly advanced robotic manipulation by integrating vision-language models vlms and action decoders into a unified architecture |
we explain how apparent heterogeneity in mr estimates between | populations | population genetics | we explain how apparent heterogeneity in mr estimates between populations can arise from differences in genetic variant frequencies and correlation patterns as well as from differences in the distribution of phenotypic variables complicating the detection of true differences in the causal pathway |
this survey bridges that gap by delivering a forward-looking analysis of object | detection | object detection | this survey bridges that gap by delivering a forward-looking analysis of object detection in avs emphasizing emerging paradigms such as vision-language models vlms large language models llms and generative ai rather than re-examining outdated techniques |
existing automated approaches though increasingly leveraging large | language | large language models llms | existing automated approaches though increasingly leveraging large language models llms remain largely confined to structured tabular data and cannot adequately address the heterogeneity of social media analysis |
in many problems involving causal effects or structural models the parameters of interest | depend | regression function | in many problems involving causal effects or structural models the parameters of interest depend on regression functions |
furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when | preference | preference learning | furthermore using a synthetic preference dataset that enables controlled manipulation of values we find that different preference optimization algorithms lead to different value alignment outcomes even when preference data is held constant |
we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized | riesz | debiased machine | we develop a direct debiased machine learning framework comprising neyman targeted estimation and generalized riesz regression |
how muon s spectral design benefits generalization a study on | imbalanced | imbalanced data | how muon s spectral design benefits generalization a study on imbalanced data |
we construct reference frames using three different sets of external sources 1 stars with | gaia | milky way | we construct reference frames using three different sets of external sources 1 stars with gaia dr3 data 2 stationary background galaxies and 3 a combination of the two |
the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central | question | abstract representations | the extent to which different neural or artificial neural networks models rely on equivalent representations to support similar tasks remains a central question in neuroscience and machine learning |
our results demonstrate that ssf significantly improves | sensing | integrated sensing | our results demonstrate that ssf significantly improves sensing quality while preserving communication efficiency |
specifically we examine how fabrication-induced inhomogeneities in qubit resonant frequencies and coupling strengths affect quantum state propagation and the fidelity of | fundamental | quantum mechanics | specifically we examine how fabrication-induced inhomogeneities in qubit resonant frequencies and coupling strengths affect quantum state propagation and the fidelity of fundamental quantum operations |
instead of extracting fingerprints directly from raw csi measurements csi2q first transforms frequency-domain | csi | information csi | instead of extracting fingerprints directly from raw csi measurements csi2q first transforms frequency-domain csi measurements into time-domain signals that share the same feature space with iq samples |
we observe that the ability to recall an object physical or virtual that was encountered in a mobile ar experience depends on many possible impact factors and attributes with some objects being readily recalled while others are not and some people recalling | objects | object recall | we observe that the ability to recall an object physical or virtual that was encountered in a mobile ar experience depends on many possible impact factors and attributes with some objects being readily recalled while others are not and some people recalling objects overall much better or worse than others |
by combining polarization diversity and angular-spectrum | modulation | nonlinear optical | by combining polarization diversity and angular-spectrum modulation idtt achieves speckle-free and vibration-robust mapping of biaxial birefringence with submicron resolution |
swiech stochastic optimal control in infinite dimensions | dynamic | predictive control | swiech stochastic optimal control in infinite dimensions dynamic programming and hjb equations springer 2017 |
rather than experiencing a blend of both percepts often only one | eye | visual rivalry | rather than experiencing a blend of both percepts often only one eye s image is experienced whilst the other is suppressed from awareness |
we find an almost universal magnetic-field-sfr scaling with | slope | magnetic field | we find an almost universal magnetic-field-sfr scaling with slope alpha approx 0 |
nearest neighbor matching as least squares | density | density-ratio estimation | nearest neighbor matching as least squares density ratio estimation and riesz regression |
we conclude that ly alpha radiation pressure severely limits a possible extremely efficient feedback-free phase of star formation in | dense | star-forming region | we conclude that ly alpha radiation pressure severely limits a possible extremely efficient feedback-free phase of star formation in dense metal-poor clouds |
these results highlight a fundamental gap in current | multimodal | vision-language models | these results highlight a fundamental gap in current multimodal systems while they capture rich visual-semantic correlations they lack the inductive biases required for temporal continuity and causal understanding |
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