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by explicitly retaining the quantum coherence of the coupled electron-phonon-photon dynamics our model describes a two-stage buildup of entanglement - first between signal and idler photons and subsequently between idler | photons | quantum dot | by explicitly retaining the quantum coherence of the coupled electron-phonon-photon dynamics our model describes a two-stage buildup of entanglement - first between signal and idler photons and subsequently between idler photons mediated by material coherence |
bi-isotropic effects on hybrid surface polaritons in | bilayer | phonon polaritons | bi-isotropic effects on hybrid surface polaritons in bilayer configurations |
the european space agency esa and the european space resources innovation centre esric created the space resources challenge to invite researchers and companies to propose innovative solutions for multi-robot | systems | robotic systems | the european space agency esa and the european space resources innovation centre esric created the space resources challenge to invite researchers and companies to propose innovative solutions for multi-robot systems mrs space prospection |
results show that deep industrial decarbonization is technically feasible led by electrification but | competitiveness | electricity demand | results show that deep industrial decarbonization is technically feasible led by electrification but competitiveness depends strongly on policy choices |
this work introduces steervlm a lightweight steering module designed to guide vision-language models | vlms | autonomous driving | this work introduces steervlm a lightweight steering module designed to guide vision-language models vlms towards outputs that better adhere to desired instructions |
we focus on an important safety problem that is already challenging for | humans | ai systems | we focus on an important safety problem that is already challenging for humans fact-verification of ai outputs |
strong kantorovich duality for quantum optimal transport with generic cost and | optimal | quantum advantage | strong kantorovich duality for quantum optimal transport with generic cost and optimal couplings on quantum bits |
we show here that in models equipped with a learning rule inferred from neurobiological data spurious overlaps collectively reduce the mean synaptic inputs to | neurons | artificial neural | we show here that in models equipped with a learning rule inferred from neurobiological data spurious overlaps collectively reduce the mean synaptic inputs to neurons and that this mean reduction causes in turn an increase in storage capacity through a sparsening of network activity |
modulating the free-electron wave function with light brings new opportunities to create attosecond electron pulse trains to probe the | quantum | quantum emitters | 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 |
while this approach has advantages such as independence from appearance the | existing | existing methods | while this approach has advantages such as independence from appearance the existing methods may break down under real-world conditions |
reinforcement learning rl is widely used to produce robust robotic manipulation | policies | motion planning | reinforcement learning rl is widely used to produce robust robotic manipulation policies but fine-tuning vision-language-action vla models with rl can be unstable due to inaccurate value estimates and sparse supervision at intermediate steps |
for fluorescence-based readout we selectively couple one of the t center spin-conserving transitions to a single-mode | photonic | photonic crystal | for fluorescence-based readout we selectively couple one of the t center spin-conserving transitions to a single-mode photonic cavity exploiting the enhancement of the fluorescence emission and cyclicity |
furthermore real-world experiments confirm that the | robot | robotic manipulation | furthermore real-world experiments confirm that the robot can safely pass through narrow passages while maintaining rapid planning performance |
approximating human preferences using a multi-judge | learned | preference optimization | approximating human preferences using a multi-judge learned system |
to address these limitations we introduce roboos-next a unified memory-based framework for lifelong scalable and robust | multi-robot | multi-robot collaboration | to address these limitations we introduce roboos-next a unified memory-based framework for lifelong scalable and robust multi-robot collaboration |
however the up-to-date runtime estimates for utility-scale applications on certain quantum | hardware | quantum algorithm | however the up-to-date runtime estimates for utility-scale applications on certain quantum hardware systems are in the order of years rendering quantum computations impractical |
the core of pisac lies in deriving a closed-form safety bound that explicitly links | isac | communication isac | the core of pisac lies in deriving a closed-form safety bound that explicitly links isac transmit power to sensing uncertainty based on the cram er-rao bound and occupancy inflation principles |
dynamic spatial treatment effects and network fragility theory and | evidence | spatial treatment | dynamic spatial treatment effects and network fragility theory and evidence from european banking |
a hierarchical architecture combining one orchestrator with three specialist agents uses the react pattern for iterative reasoning enabling dynamic coordination without hardcoded workflows while integrating google calendar for | context-aware | context engineering | a hierarchical architecture combining one orchestrator with three specialist agents uses the react pattern for iterative reasoning enabling dynamic coordination without hardcoded workflows while integrating google calendar for context-aware deadline extraction |
the influence of the moving mass is described in body-frame and included as states in both an additional kinematic equation and as part of the coupled rigid-body kinetics of the | underwater | moving mass | the influence of the moving mass is described in body-frame and included as states in both an additional kinematic equation and as part of the coupled rigid-body kinetics of the underwater vehicle |
reading radio from camera visually-grounded | lightweight | channel state information | reading radio from camera visually-grounded lightweight and interpretable rssi prediction |
splitflow flow decomposition for inversion-free | text-to-image | image generation | splitflow flow decomposition for inversion-free text-to-image editing |
these results demonstrate that assembly history rather than halo mass alone critically shapes the present-day kinematic and morphological | diversity | galaxy cgm | these results demonstrate that assembly history rather than halo mass alone critically shapes the present-day kinematic and morphological diversity of dwarf galaxies |
to address the non-convex and temporally coupled optimization problem we propose a mixture-of-experts-augmented soft actor-critic moe-sac | algorithm | deep reinforcement learning | to address the non-convex and temporally coupled optimization problem we propose a mixture-of-experts-augmented soft actor-critic moe-sac algorithm that employs a sparse top-k gated mixture-of-shallow-experts architecture to represent multimodal policy distributions arising from the conflicting optimization objectives |
more recently a new class of prefix queries was introduced together with reductions that among others transform a simple tradeoff for prefix-select | queries | query complexity | more recently a new class of prefix queries was introduced together with reductions that among others transform a simple tradeoff for prefix-select queries into a suffix array tradeoff matching state-of-the-art space and query-time bounds while achieving sublinear construction time |
accurate estimation of motion information is crucial in | diverse | pose estimation | accurate estimation of motion information is crucial in diverse computational imaging and computer vision applications |
this gives rise to a new family of explicitly constructed | graphs | regular graphs | this gives rise to a new family of explicitly constructed graphs which may have other applications |
enhancing the reachability of variational quantum | algorithms | fault-tolerant quantum | enhancing the reachability of variational quantum algorithms via input-state design |
those models give structure to expectations around walking behavior of groups from pedestrian walking independently to the emergence of a | collective | collective action | those models give structure to expectations around walking behavior of groups from pedestrian walking independently to the emergence of a collective intention where group members tended to maintain bounded distance between each other |
observed changes in exponential rates come from growing public awareness governmental restrictions and their later relaxation annual holidays seasonal variation emergence of new | viral | infectious individuals | observed changes in exponential rates come from growing public awareness governmental restrictions and their later relaxation annual holidays seasonal variation emergence of new viral variants and from mass vaccination |
debiased machine learning typically requires estimation of the | riesz | riesz regression | debiased machine learning typically requires estimation of the riesz representer and the regression function |
magnetic field-controlled thz modulation in uniaxial | anisotropic | magnetic anisotropy | magnetic field-controlled thz modulation in uniaxial anisotropic spin-valves emitters |
this study addresses the critical challenge of preserving the intrinsic optical | characteristics | optical interference | this study addresses the critical challenge of preserving the intrinsic optical characteristics of 2d tmdcs during fib patterning |
this manuscript revisits the essence of generative image fusion under the inspiration of human cognitive laws and proposes a novel infrared and visible image | fusion | vision transformers | this manuscript revisits the essence of generative image fusion under the inspiration of human cognitive laws and proposes a novel infrared and visible image fusion method termed hclfuse |
5 nm schottky contacts that ultimately enabled | breakdown | breakdown voltage | 5 nm schottky contacts that ultimately enabled breakdown voltage of 3 |
noisy payoffs can permit the stable co-existence of cooperators and defectors in the prisoner s dilemma for example as well as bistability in snowdrift games and stable limit cycles in rock-paper-scissors | games | game theory | noisy payoffs can permit the stable co-existence of cooperators and defectors in the prisoner s dilemma for example as well as bistability in snowdrift games and stable limit cycles in rock-paper-scissors games -- dynamical phenomena that cannot occur in the absence of noise |
these results provide quantitative guidance for allocating green-finance | resources | green finance | these results provide quantitative guidance for allocating green-finance resources elevating green-innovation efficiency and designing regionally coordinated mitigation policies |
the dataset is carefully constructed with temporal splits comprehensive features and strict leakage prevention to support realistic and reproducible | machine | machine learning | the dataset is carefully constructed with temporal splits comprehensive features and strict leakage prevention to support realistic and reproducible machine learning evaluation |
in task and motion planning high-level task | planning | mobile robots | in task and motion planning high-level task planning is done over an abstraction of the world to enable efficient search in long-horizon robotics problems |
these results complement the straightforward observation that solution discovery for the studied problems is fixed-parameter tractable when the budget b is included in the parameter in particular parameterized by cliquewidth b where the cliquewidth of a graph is at most any of the studied parameters and provide a near-complete fixed-parameter tractability meta-theorems investigation for solution | discovery | solution discovery | these results complement the straightforward observation that solution discovery for the studied problems is fixed-parameter tractable when the budget b is included in the parameter in particular parameterized by cliquewidth b where the cliquewidth of a graph is at most any of the studied parameters and provide a near-complete fixed-parameter tractability meta-theorems investigation for solution discovery problems for mso- and fo-definable graph problems and structural parameters larger than cliquewidth |
twin-field quantum key distribution protocols security and | open | quantum dot | twin-field quantum key distribution protocols security and open problems |
we formulate the problem as the minimization of the total transmit power subject to signal-to-interference-plus-noise ratio sinr constraints for | communication | channel estimation | we formulate the problem as the minimization of the total transmit power subject to signal-to-interference-plus-noise ratio sinr constraints for communication users and mean-squared-error mse constraints for radar sensing |
we formulate the problem as a markov decision | process | decision process | we formulate the problem as a markov decision process and analyze the structure of the optimal policy pi star for l 3 extending insights to arbitrary l |
sites burned within the last five years supported fewer | species | ecological communities | sites burned within the last five years supported fewer species primarily dominated by generalists while mid- to late-successional sites exhibited greater richness and a higher proportion of specialists |
these results establish arp as a robust and scalable approach for | coherent | coherent control | these results establish arp as a robust and scalable approach for coherent control in inas qd ensembles with potential applications for ultrafast and broadband optical communication in the thz spectral region |
firstly our deep learning model predicts correspondence probabilities and reliabilities for every pair of a trajectory and | sensor | autonomous driving | firstly our deep learning model predicts correspondence probabilities and reliabilities for every pair of a trajectory and sensor measurements |
geometric priors are incorporated into image annotations to constrain the vlm | action | vision-language models vlms | geometric priors are incorporated into image annotations to constrain the vlm action space and improve decision quality |
we further evaluate a range of strategies for aligning | visual | multi-goal visual | we further evaluate a range of strategies for aligning visual representations and introduce a simple yet effective method that mitigates degradation and yields improved generalization to out-of-distribution ood scenarios |
our results show that removing coreference | resolution | coreference resolution | our results show that removing coreference resolution results in a 28 |
we then propose novel estimators that are | asymptotically | asymptotic normality | we then propose novel estimators that are asymptotically efficient achieving this theoretical bound |
compared with the local gaussian correlation network among positive tails and the conventional pearson correlation network the properties of the local gaussian | correlation | local gaussian correlation | compared with the local gaussian correlation network among positive tails and the conventional pearson correlation network the properties of the local gaussian correlation network among negative tails are more sensitive to the stock market risks |
these findings suggest that resting-state eeg connectivity patterns can index stable | cognitive | working memory | these findings suggest that resting-state eeg connectivity patterns can index stable cognitive traits such as creativity |
our results advance the understanding of transient dynamics across network structures and input types extend the existing theory to more general settings and provide practical guidance for optimizing | transient | transient dynamics | our results advance the understanding of transient dynamics across network structures and input types extend the existing theory to more general settings and provide practical guidance for optimizing transient responses |
6g wireless networks are poised to seamlessly integrate | communication | wireless communication | 6g wireless networks are poised to seamlessly integrate communication computing localization and sensing functionalities ensuring high reliability and trustworthiness |
for which all trajectories converge to a disease-free | equilibrium | evolutionary dynamics | for which all trajectories converge to a disease-free equilibrium or convergence to a unique endemic equilibrium |
weighted food webs make computing phylogenetic | diversity | food web | weighted food webs make computing phylogenetic diversity so much harder |
in addition to the exact result for the mathcal r_0 we provide an approximation denoted as tau which is easier to compute and more straightforward to interpret in terms of the parameters of the system and shares most of the expected properties of the | basic | basic reproduction | in addition to the exact result for the mathcal r_0 we provide an approximation denoted as tau which is easier to compute and more straightforward to interpret in terms of the parameters of the system and shares most of the expected properties of the basic reproduction number |
for this problem we develop a direct debiased machine | learning | machine learning | for this problem we develop a direct debiased machine learning framework with an end-to-end algorithm |
a framework for the systematic evaluation of | obstacle | dynamic obstacles | a framework for the systematic evaluation of obstacle avoidance and object-aware controllers |
deep neural networks dnns have been used to model complex optimization problems in many applications yet have difficulty guaranteeing | solution | neural network | deep neural networks dnns have been used to model complex optimization problems in many applications yet have difficulty guaranteeing solution optimality and feasibility despite training on large datasets |
for example existing studies often employ maximum likelihood or covariate | balancing | ate estimation | for example existing studies often employ maximum likelihood or covariate balancing to estimate e_0 but these approaches may not be optimal for accurately estimating h_0 or the ate |
specifically we first construct a dataset tailored for training and evaluating secure code | review | code review | specifically we first construct a dataset tailored for training and evaluating secure code review capabilities |
the infection propagates with independent random | time | viral replication | the infection propagates with independent random time increments i |
generate with low randomness and adjusts its predicted temperature and top-p on a token-by-token basis opening a new paradigm for steerable and interactive | llm | large language models llms | generate with low randomness and adjusts its predicted temperature and top-p on a token-by-token basis opening a new paradigm for steerable and interactive llm decoding |
during massive star formation dense gas undergoes | chemical | star clusters | during massive star formation dense gas undergoes chemical evolution producing both simple and complex organic molecules coms characteristic of hot molecular cores |
our cross-system comparison also suggests actionable ways that cooperation can be improved in large-scale common pool resources problems like | climate | climate change | our cross-system comparison also suggests actionable ways that cooperation can be improved in large-scale common pool resources problems like climate change |
to address these shortcomings we propose scout scenario coverage oversight and understanding tool a lightweight surrogate model designed to predict scenario | coverage | scenario coverage | to address these shortcomings we propose scout scenario coverage oversight and understanding tool a lightweight surrogate model designed to predict scenario coverage labels directly from an agent s latent sensor representations |
in this work we study data-driven stabilization of linear time-invariant systems using | prior | predictive control | in this work we study data-driven stabilization of linear time-invariant systems using prior knowledge of system-theoretic properties specifically stabilizability and controllability |
although the evaluation was limited to simulation these results establish predictive processing as a universal and scalable computational principle pointing toward robust flexible and autonomous caregiving robots while offering theoretical insight into the human brain s ability to achieve | flexible | brain-computer interface | although the evaluation was limited to simulation these results establish predictive processing as a universal and scalable computational principle pointing toward robust flexible and autonomous caregiving robots while offering theoretical insight into the human brain s ability to achieve flexible adaptation in uncertain real-world environments |
soft constraints allow temporary violations within predefined safety margins to accommodate uncertainty and competing operational demands albeit at a cost such as increased wear or higher | operational | soft constraints | soft constraints allow temporary violations within predefined safety margins to accommodate uncertainty and competing operational demands albeit at a cost such as increased wear or higher operational expenses |
by grounding llm reasoning in a deterministic symbolic engine symcode represents a key step towards more accurate and trustworthy | ai | llm inference | by grounding llm reasoning in a deterministic symbolic engine symcode represents a key step towards more accurate and trustworthy ai in formal domains |
wilson-cowan and amari-type models capture | nonlinear | neural codes | wilson-cowan and amari-type models capture nonlinear neural population dynamics providing a fundamental framework for modeling how sensory and other exogenous inputs shape activity in neural tissue |
theoretical properties including bounds on | bias | debiased machine learning | theoretical properties including bounds on bias estimation errors and improvements in prediction accuracy are provided |
this paper introduces a likelihood ratio lr -type test that possesses the | robustness | maximum likelihood | this paper introduces a likelihood ratio lr -type test that possesses the robustness properties of c alpha -type procedures in an extremum estimation setting |
importantly i its width scales as the input dimension making it more prone to feature learning than ultra wide | networks | deep learning | importantly i its width scales as the input dimension making it more prone to feature learning than ultra wide networks and more expressive than narrow ones or with fixed embedding layers and ii we focus on the challenging interpolation regime where the number of trainable parameters and data are comparable which forces the model to adapt to the task |
first a diffusion model is trained to synthesize sketch | images | image generation | first a diffusion model is trained to synthesize sketch images from 2d poses projected from 3d human poses mimicking disproportionate human structures in sketches |
recent work has shown that different large language models llms converge to similar and accurate input embedding | representations | large language | recent work has shown that different large language models llms converge to similar and accurate input embedding representations for numbers |
existing benchmarks have widely leveraged high school math competitions for evaluating | mathematical | mathematical reasoning | existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large language models llms |
to address this limitation this paper studies llm agents in task collaboration particularly under the condition of information asymmetry where | agents | llm agents | to address this limitation this paper studies llm agents in task collaboration particularly under the condition of information asymmetry where agents have disparities in their knowledge and skills and need to work together to complete a shared task |
since the conceptual inception numerous sequential | stopping | stopping rules | since the conceptual inception numerous sequential stopping rules have been introduced and many more are currently being refined and developed |
the performance of federated learning fl over wireless networks critically depends on accurate and timely channel state information | csi | channel state information csi | the performance of federated learning fl over wireless networks critically depends on accurate and timely channel state information csi across distributed devices |
these subclumps exhibit parabolic morphologies consistent with ram-pressure-confined droplets with their heads tending to point toward the | galactic | star-forming region | these subclumps exhibit parabolic morphologies consistent with ram-pressure-confined droplets with their heads tending to point toward the galactic plane |
this study demonstrates that providing language models with pragmatic theories as prompts is an effective in-context | learning | language agents | 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 |
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 | 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 |
their outstanding performance is achieved by stabilizing their | frequency | optical interference | their outstanding performance is achieved by stabilizing their frequency to ultra-low expansion ule optical cavities |
most prior work focuses on minimizing its time | complexity | time complexity | most prior work focuses on minimizing its time complexity i |
the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling nonlinear mappings between high-dimensional deep network features and semantic | patterns | human brain | the architecture incorporates a brain-region to image-feature cross-attention mechanism enabling nonlinear mappings between high-dimensional deep network features and semantic patterns encoded in the brain activity |
on the impact of weight discretization in qubo-based | svm | support vector machines | on the impact of weight discretization in qubo-based svm training |
despite the widespread adoption of parallel join-based trees a major drawback of previous work on such | data | data structure | despite the widespread adoption of parallel join-based trees a major drawback of previous work on such data structures is the inefficiency of their input output i o access patterns |
in this work we apply uniaxial tensile and compressive | strain | strain engineering | in this work we apply uniaxial tensile and compressive strain to thin 1t-tas2 flakes using a flexible device-compatible platform and systematically investigate the strain-dependent behavior of the nearly commensurate nc to incommensurate ic cdw phase transition |
in contrast we show that a clt holds for sgd iterates when the number of iterations grows as t gtrsim d 1 delta for any delta 0 significantly extending the dimensional regime permitted by prior works while improving | computational | computationally efficient | in contrast we show that a clt holds for sgd iterates when the number of iterations grows as t gtrsim d 1 delta for any delta 0 significantly extending the dimensional regime permitted by prior works while improving computational efficiency |
previous length-constrained flow shortcuts haeupler hershkowitz li roeyskoe saranurak | stoc | maximum flow | previous length-constrained flow shortcuts haeupler hershkowitz li roeyskoe saranurak stoc 24 incur a large constant in the length slack which would lead to a large approximation factor |
tight lower bounds for central string queries in | compressed | compressed indexing | tight lower bounds for central string queries in compressed space |
in the multi-user downlink precoding enables the reuse of frequencies across spatially separated users greatly improving | spectral | spectral efficiency | in the multi-user downlink precoding enables the reuse of frequencies across spatially separated users greatly improving spectral efficiency |
topological decoding of grid cell activity via | path | grid cell | topological decoding of grid cell activity via path lifting to covering spaces |
wimhf provides a human-centered analysis method for practitioners to better understand and use | preference | preference data | wimhf provides a human-centered analysis method for practitioners to better understand and use preference data |
space time and altruism in pandemics and the | climate | climate change | space time and altruism in pandemics and the climate emergency |
our gridworld simulation shows that through independent | learning | reinforcement learning | our gridworld simulation shows that through independent learning the agent and human discover their optimal oversight roles |
in contrast imitation learning il is easy to train but often underperforms due to its | offline | learning agents | in contrast imitation learning il is easy to train but often underperforms due to its offline nature |
for large detailed energy system models this is impossible with | traditional | power systems | for large detailed energy system models this is impossible with traditional methods leading researchers to reduce complexity with linearized investments and zonal or temporal aggregation |
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