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existing vision-language navigation vln approaches are mostly designed for ground robots and struggle to generalize to aerial tasks that require full 3d | spatial | visual navigation | existing vision-language navigation vln approaches are mostly designed for ground robots and struggle to generalize to aerial tasks that require full 3d spatial reasoning |
this formulation leads to a point to set type of optimization problem which relaxes the requirement on | controllability | linear control | this formulation leads to a point to set type of optimization problem which relaxes the requirement on controllability of the system compared to the classic lap framework |
debiased machine learning typically requires estimation of the riesz representer and the | regression | machine learning | debiased machine learning typically requires estimation of the riesz representer and the regression function |
conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system | stability | control strategy | conventional control strategies typically rely on fixed setpoints and neglect frequency deviations which can compromise system stability under rapid renewable variations |
while ai-assisted participants completed several | tasks | ai assistance | 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 |
large language models llms have demonstrated exceptional | capabilities | language models | large language models llms have demonstrated exceptional capabilities across multiple domains by leveraging massive pre-training and curated fine-tuning data |
we introduce human ai collaborative uncertainty quantification a framework that formalizes how an ai model can refine a human expert s proposed prediction set with two goals avoiding counterfactual harm ensuring the ai does not degrade correct human judgments and complementarity enabling recovery of correct outcomes th... | human | debiased machine learning | we introduce human ai collaborative uncertainty quantification a framework that formalizes how an ai model can refine a human expert s proposed prediction set with two goals avoiding counterfactual harm ensuring the ai does not degrade correct human judgments and complementarity enabling recovery of correct outcomes th... |
moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a | ferrimagnetic | magnetic ground | moreover we show that the intercalation of few-nm-thick flakes also leads to the emergence of a ferrimagnetic response |
we address this gap with a token-aware causal | representation | representation learning | we address this gap with a token-aware causal representation learning crl framework grounded in a sequential language-token scm |
however due to the winner s curse-an issue where the policy optimization procedure exploits prediction errors rather than finding actual improvements-predicted performance improvements are often not substantiated by downstream | policy | policy evaluation | however due to the winner s curse-an issue where the policy optimization procedure exploits prediction errors rather than finding actual improvements-predicted performance improvements are often not substantiated by downstream policy optimization |
to mitigate the high-dimensional challenges of humanoid | control | optimal control | to mitigate the high-dimensional challenges of humanoid control thor introduces a reinforcement learning architecture that decouples the upper body waist and lower body |
we also assess the diagnostic power of several magnitude gaps between top-ranked galaxies as proxies for | dynamical | quiescent galaxies | we also assess the diagnostic power of several magnitude gaps between top-ranked galaxies as proxies for dynamical age |
approximating human preferences using a multi-judge | learned | preference data | approximating human preferences using a multi-judge learned system |
however significant limitations remain mllms generalize poorly across digital-physical spaces and embodiments vision-language-action models vlas produce low-level actions yet lack robust high-level embodied reasoning and most embodied large | language | vision-language-action vla | however significant limitations remain mllms generalize poorly across digital-physical spaces and embodiments vision-language-action models vlas produce low-level actions yet lack robust high-level embodied reasoning and most embodied large language models ellms are constrained to digital-space with poor generalization... |
recent breakthroughs in artificial intelligence ai are reshaping the way we construct computational counterparts of the brain giving rise to a new class of | surrogate | surrogate brain | recent breakthroughs in artificial intelligence ai are reshaping the way we construct computational counterparts of the brain giving rise to a new class of surrogate brains |
multiplexes have emerged as a key instrument for modeling large-scale complex | systems | multiplex networks | multiplexes have emerged as a key instrument for modeling large-scale complex systems due to the widespread coexistence of diverse interactions in social industrial and biological domains |
2023 introduced dynamical similarity analysis dsa a method to measure the similarity of two systems based on their | recurrent | dynamical systems | 2023 introduced dynamical similarity analysis dsa a method to measure the similarity of two systems based on their recurrent dynamics rather than geometry or topology |
large language models llms often struggle with | complex | language agents | large language models llms often struggle with complex mathematical reasoning where prose-based generation leads to unverified and arithmetically unsound solutions |
current progress in electro-optical modulation within silicon | integrated | photonic devices | current progress in electro-optical modulation within silicon integrated photonics driven by the unique capabilities of advanced functional materials has led to significant improvements in device performance |
2023 which derives general non-parametric bounds on biases due to omitted variables and is fully compatible with though not limited to modern inferential tools of causal | machine | debiased machine learning | 2023 which derives general non-parametric bounds on biases due to omitted variables and is fully compatible with though not limited to modern inferential tools of causal machine learning |
in all three scenarios we observe an inverse correlation between | x-ray | emission line | in all three scenarios we observe an inverse correlation between x-ray and optical emissions |
taken together our study revealed a novel difference of functional property in response to task performance in the | sensorimotor | visual stimuli | taken together our study revealed a novel difference of functional property in response to task performance in the sensorimotor areas versus the association areas |
purpose the purpose of this study was to determine if an ensemble of multiple llm agents could be used collectively to provide a more reliable assessment of a pixel-based ai | triage | triage tool | purpose the purpose of this study was to determine if an ensemble of multiple llm agents could be used collectively to provide a more reliable assessment of a pixel-based ai triage tool than a single llm |
stellar-mass compact objects cos embedded in active | galactic | star-forming region | stellar-mass compact objects cos embedded in active galactic nucleus agn discs are commonly assumed to accrete via bondi or bondi-hoyle-lyttleton bhl prescriptions neglecting gas angular momentum |
a prevailing theory in cognitive neuroscience proposes that the human brain operates through hierarchical predictive processing which underlies flexible | cognition | surrogate brain | a prevailing theory in cognitive neuroscience proposes that the human brain operates through hierarchical predictive processing which underlies flexible cognition and behavior by integrating multimodal sensory signals |
wigner negativity and genuine multipartite entanglement | gme | wigner negativity | wigner negativity and genuine multipartite entanglement gme are key nonclassical resources that enable computational advantages and broader quantum-information tasks |
for improvements we propose view-grpo a novel | reinforcement | reinforcement learning | for improvements we propose view-grpo a novel reinforcement learning framework that effectively strengthens view-specific temporal reasoning while encouraging consistent comprehension across viewpoints |
recently morell and skutella suggested an alternative conjecture stating that one can turn any fractional | flow | maximum flow | recently morell and skutella suggested an alternative conjecture stating that one can turn any fractional flow into an unsplittable one without changing the load on any arc by more than the maximum demand |
these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in | quantum | quantum technologies | these findings establish quadratic nonlinear waveguide arrays as a promising platform to explore the interplay of nonlinearity topology and disorder in quantum photonic circuits |
this paper studies the point convergence of accelerated gradient methods for unconstrained convex smooth multiobjective optimization problems covering both continuous-time | gradient | accelerated gradient | this paper studies the point convergence of accelerated gradient methods for unconstrained convex smooth multiobjective optimization problems covering both continuous-time gradient flows and discrete-time algorithms |
2024 develops riesz regression for automatic | debiased | debiased machine | 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 |
in this regard embodying soft and physical | computing | physical computing | in this regard embodying soft and physical computing presents exciting potential |
yet when these vlms are adapted to the action modality it remains unclear to what extent their original vl | representations | vision-language models vlms | yet when these vlms are adapted to the action modality it remains unclear to what extent their original vl representations and knowledge are preserved |
here we harness the emission of a quantum | dot | quantum coherence | here we harness the emission of a quantum dot embedded in a micropillar and explore a hybrid approach where the information is encoded on a mixture of single photons and laser pulses |
the empirical performance of the proposed methods is demonstrated through | numerical | numerical experiments | the empirical performance of the proposed methods is demonstrated through numerical experiments |
mathematically annealed heterogeneity introduces a variance-weighted demographic noise term that penalizes across-environment fitness variance and effectively rescales the population size thereby biasing | evolution | evolutionary game | mathematically annealed heterogeneity introduces a variance-weighted demographic noise term that penalizes across-environment fitness variance and effectively rescales the population size thereby biasing evolution toward generalist solutions |
using a mix of dynamic and static point correspondences we achieve competitive or superior point | tracking | point tracking | using a mix of dynamic and static point correspondences we achieve competitive or superior point tracking results on four datasets e |
however the potential perceptual demands of viewing | virtual | virtual reality | however the potential perceptual demands of viewing virtual annotations while navigating a physical environment could impact user efficacy and safety and the implications of these demands are not well understood |
our initial approach uses solve_bvp to approximate optimal | control | control systems | our initial approach uses solve_bvp to approximate optimal control trajectories |
these results demonstrate efficiency gains without cognitive change suggesting that current narrow ai | systems | ai literacy | these results demonstrate efficiency gains without cognitive change suggesting that current narrow ai systems serve as cognitive scaffolds extending performance without transforming underlying mental capacities |
braincognizer brain decoding with human visual | cognition | cognitive neuroscience | braincognizer brain decoding with human visual cognition simulation for fmri-to-image reconstruction |
8 that is consistent with mrk 1018 s brightness before and after its latest | changing | surface brightness | 8 that is consistent with mrk 1018 s brightness before and after its latest changing look event in the early 2010s |
humans possess spatial reasoning abilities that enable them to understand spaces through | multimodal | computer vision | humans possess spatial reasoning abilities that enable them to understand spaces through multimodal observations such as vision and sound |
in the era of rapid technological advancement | social | social media | in the era of rapid technological advancement social media platforms such as twitter x have emerged as indispensable tools for gathering consumer insights capturing diverse opinions and understanding public attitudes |
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 | learning algorithm | 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... |
this superior performance not only sets a new benchmark for device responsivity and compactness but also opens promising avenues for future research including the incorporation of gain media for loss compensation at eps and the exploration of alternative tunable materials for next-generation ultracompact | photonic | photonic circuits | this superior performance not only sets a new benchmark for device responsivity and compactness but also opens promising avenues for future research including the incorporation of gain media for loss compensation at eps and the exploration of alternative tunable materials for next-generation ultracompact photonic devic... |
quantitative electron magnetic circular dichroism emcd in transmission electron microscopy tem enables the measurement of | magnetic | magnetic properties | quantitative electron magnetic circular dichroism emcd in transmission electron microscopy tem enables the measurement of magnetic moments with elemental and atomic site sensitivity but its practical application is fundamentally limited by noise |
for a perfect crystal under parallel illumination with a pink beam our results show that chromatic aberration is absent whereas under condensed | illumination | optical interference | for a perfect crystal under parallel illumination with a pink beam our results show that chromatic aberration is absent whereas under condensed illumination it becomes significant |
moreover employing multiple riss significantly enhances performance compared to a single ris especially in line-of-sight los -dominated | wireless | wireless systems | moreover employing multiple riss significantly enhances performance compared to a single ris especially in line-of-sight los -dominated wireless environments |
tmle is a method for constructing regression function estimators such that the leading bias | term | bias-correction term | tmle is a method for constructing regression function estimators such that the leading bias term becomes zero |
to our knowledge this is the first algorithm to achieve an o log n competitive | ratio | competitive ratio | to our knowledge this is the first algorithm to achieve an o log n competitive ratio for non-trivial metrics beyond the i |
quantum computation can be formulated through various models each highlighting distinct structural and resource-theoretic aspects of quantum | computational | quantum batteries | quantum computation can be formulated through various models each highlighting distinct structural and resource-theoretic aspects of quantum computational power |
in this paper we prove that the iterates of the accelerated nesterov | s | superlinear convergence | in this paper we prove that the iterates of the accelerated nesterov s algorithm in the critical regime do converge in the weak topology to a global minimizer of an l -smooth function in a real hilbert space hence answering positively a conjecture posed by h |
on the go with ar attention to virtual and | physical | virtual reality | on the go with ar attention to virtual and physical targets while varying augmentation density |
in this work we review the underlying theory of these novel optical | scatterers | optical interference | in this work we review the underlying theory of these novel optical scatterers and some demonstrated configurations with enhanced resolution |
distributional evaluation of generative models via | relative | generative models | distributional evaluation of generative models via relative density ratio |
conventional robots possess a limited understanding of their kinematics and are confined to preprogrammed tasks hindering their ability to leverage | tools | mobile robots | conventional robots possess a limited understanding of their kinematics and are confined to preprogrammed tasks hindering their ability to leverage tools efficiently |
specifically when f x acts safely but u0 acts unsafely the gain can be decreased by up to half and when f x acts unsafely we establish that if u0 acts safely the gain can be increased arbitrarily whereas if u0 | acts | sensitivity tradeoff | specifically when f x acts safely but u0 acts unsafely the gain can be decreased by up to half and when f x acts unsafely we establish that if u0 acts safely the gain can be increased arbitrarily whereas if u0 acts unsafely the control recovers the full gain margin 1 2 inf |
this energy is believed to impact the star formation | activity | star clusters | this energy is believed to impact the star formation activity and contribute to the quenching of galaxies |
graph-theoretical mapping of resting-state | eeg | cognitive neuroscience | graph-theoretical mapping of resting-state eeg reveals neural signatures of creativity |
while spike train data is well-approximated with a binary model here we apply these ig methods to data from electroencephalography | eeg | brain-computer interface | while spike train data is well-approximated with a binary model here we apply these ig methods to data from electroencephalography eeg a continuous signal requiring appropriate discretization strategies |
the goal is to compute the starting positions of all fragments of t that can be obtained from p with edits of | total | -time algorithm | the goal is to compute the starting positions of all fragments of t that can be obtained from p with edits of total cost at most k |
we show that minimizing the bayes cost mean of the cross-entropy loss implies maximizing the | mutual | brain decoding | we show that minimizing the bayes cost mean of the cross-entropy loss implies maximizing the mutual information between the set of categories and the neural activities prior to the decision layer |
the numerical methods to do this efficiently depend on the properties of the | loss | loss function | the numerical methods to do this efficiently depend on the properties of the loss function |
these results have implications for amplified oversight -- the challenge of combining humans and ai to supervise ai | systems | artificial intelligence | these results have implications for amplified oversight -- the challenge of combining humans and ai to supervise ai systems even as they surpass human expert performance |
defining the urban local with low dimensional manifolds of human | mobility | scale-free networks | defining the urban local with low dimensional manifolds of human mobility networks |
these findings provide new insights into how algorithmic reinforcement of clustering in online platforms can either sustain diversity of | opinion | opinion dynamics | these findings provide new insights into how algorithmic reinforcement of clustering in online platforms can either sustain diversity of opinion or accelerate its suppression |
these findings support a clear takeaway improving | representation | representation learning | these findings support a clear takeaway improving representation learning is a direct and useful path to robust world models delivering reliable long-horizon predictions without enlarging the dynamics module |
we hope the geometric view of parametric memory encourages revisiting the default intuitions that guide researchers in areas like | knowledge | reasoning capabilities | we hope the geometric view of parametric memory encourages revisiting the default intuitions that guide researchers in areas like knowledge acquisition capacity discovery and unlearning |
results from perturbation theory along with lyapunov stability and eigen-spectrum analysis are used to prove the | convergence | convergence guarantees | results from perturbation theory along with lyapunov stability and eigen-spectrum analysis are used to prove the convergence towards the optimal case |
genesis reproduces hallmark behavioral findings including generalization in semantic memory recognition serial recall effects and gist-based distortions in episodic memory and constructive | episodic | human cognition | genesis reproduces hallmark behavioral findings including generalization in semantic memory recognition serial recall effects and gist-based distortions in episodic memory and constructive episodic simulation while capturing their dynamic interactions |
exciton and biexciton preparation via coherent swing-up excitation in a gaas | quantum | quantum dot | exciton and biexciton preparation via coherent swing-up excitation in a gaas quantum dot embedded in micropillar cavity |
our system achieves accuracy increases of at least 16 on the synthetic csi dataset 20 on the in-lab csi | dataset | high accuracy | our system achieves accuracy increases of at least 16 on the synthetic csi dataset 20 on the in-lab csi dataset and 17 on the in-the-wild csi dataset |
this paper discusses the different contemporaneous | causal | causal effects | this paper discusses the different contemporaneous causal interpretations of panel vector autoregressions pvar |
we develop an efficient algorithm to solve this | bilevel | optimization problem | we develop an efficient algorithm to solve this bilevel optimization problem which computes parameter gradients without backpropagating through the solver |
leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy | reinforcement | reinforcement learning | leveraging ideas from control-as-inference we show that minimizing the kullback-leibler divergence between a policy-driven true distribution and a reward-driven model distribution for a suitably defined action-driven process is equivalent to maximum entropy reinforcement learning |
this principle underpins neuroscience and | predictive | predictive processing | this principle underpins neuroscience and predictive brain theories like the free-energy principle or kolmogorov algorithmic agent theory |
crucially we uncover an emergent capability for instruction-based decoding control the model learns to interpret natural | language | natural language | crucially we uncover an emergent capability for instruction-based decoding control the model learns to interpret natural language commands e |
the recent advancement of multimodal large language models mllms is transforming human-computer | interaction | human-ai interaction | the recent advancement of multimodal large language models mllms is transforming human-computer interaction hci from surface-level exchanges into more nuanced and emotionally intelligent communication |
we find considerable dependence of the streamer morphology on the environment which may act as a utility to constrain the physical conditions of the gas surrounding planet-forming disk and therefore the | conditions | dense gas | we find considerable dependence of the streamer morphology on the environment which may act as a utility to constrain the physical conditions of the gas surrounding planet-forming disk and therefore the conditions under which planets form |
the reasoning capabilities of large language | models | language models | the reasoning capabilities of large language models llms have led to their increasing employment in several critical applications particularly education where they support problem-solving tutoring and personalized study |
experiments show improved success rate and sample efficiency over single-algorithm baselines dqn or td3 alone and rule-based planners with better generalization to unseen obstacle configurations and reduced abrupt | control | optimal control | experiments show improved success rate and sample efficiency over single-algorithm baselines dqn or td3 alone and rule-based planners with better generalization to unseen obstacle configurations and reduced abrupt control changes |
these solutions are surprisingly simple and have some interesting implications including a necessary and sufficient condition for mutation | selection | evolutionary game | these solutions are surprisingly simple and have some interesting implications including a necessary and sufficient condition for mutation selection balance a very simple formula for mean fitness and the fact that the shape of the equilibrium fitness distribution is determined solely by mutation whereas the scale is de... |
we find evidence that the dispersion in the bulge mz r is influenced by both stellar accretion from satellites and migration from the disk such that at a fixed bulge mass bulges with higher fraction of accreted and migrated | stars | massive stars | we find evidence that the dispersion in the bulge mz r is influenced by both stellar accretion from satellites and migration from the disk such that at a fixed bulge mass bulges with higher fraction of accreted and migrated stars tend to be less metal-rich |
we use 44 central galaxies from the cielo | cosmological | galaxy cgm | we use 44 central galaxies from the cielo cosmological simulations |
prior work establishes theoretical guarantees for langevin monte | carlo | monte carlo | prior work establishes theoretical guarantees for langevin monte carlo algorithm based on overdamped and underdamped langevin dynamics and more recently some third-order variants |
where a bayesian treatment is usually associated with high-quality | predictions | debiased machine learning | where a bayesian treatment is usually associated with high-quality predictions and uncertainties the practical reality has been the opposite with unstable training poor predictive power and subpar calibration |
in the case of ktao3 first principles calculations have suggested that strain can drive a ferroelectric | phase | phase transition | in the case of ktao3 first principles calculations have suggested that strain can drive a ferroelectric phase transition |
we propose a mathematically principled pde | gradient | gradient flow | we propose a mathematically principled pde gradient flow framework for distributionally robust optimization dro |
current text-to-image generative models are trained on large uncurated datasets to enable diverse | generation | image generation | current text-to-image generative models are trained on large uncurated datasets to enable diverse generation capabilities |
in this paper we combine adaptation and control barrier functions into a real-time control architecture that guarantees | stability | control strategy | in this paper we combine adaptation and control barrier functions into a real-time control architecture that guarantees stability ensures control performance and remains safe even with the parametric uncertainties |
we find that despite surfacing errors different language models learn interchangeable | representations | large language models llms | we find that despite surfacing errors different language models learn interchangeable representations of numbers that are systematic highly accurate and universal across their hidden states and the types of input contexts |
this paper provides bode-like sensitivity integrals for the quasiperiodic disturbance observer in both continuous-time and discrete-time representations and clarifies the avoided | sensitivity | sensitivity tradeoff | this paper provides bode-like sensitivity integrals for the quasiperiodic disturbance observer in both continuous-time and discrete-time representations and clarifies the avoided sensitivity tradeoff with time delays |
we further designed an action-memory t-maze task and developed a microstate | sequence | recurrent neural | we further designed an action-memory t-maze task and developed a microstate sequence classifier mssc to predict rats turn decisions |
think outside the policy in-context steered | policy | preference optimization | think outside the policy in-context steered policy optimization |
we propose a mathematically principled pde gradient | flow | optimal transport | we propose a mathematically principled pde gradient flow framework for distributionally robust optimization dro |
this study investigates the effect of knowledge distillation on the transferability of debiasing | capabilities | vision-language models | this study investigates the effect of knowledge distillation on the transferability of debiasing capabilities from teacher models to student models on natural language inference nli and image classification tasks |
however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding | fmri | brain decoding | however brain signals infused with prior knowledge and associations exhibit a significant information asymmetry when compared to raw visual features still posing challenges for decoding fmri representations under the supervision of images |
data-driven projection generation for efficiently solving heterogeneous quadratic | programming | efficiently solving | data-driven projection generation for efficiently solving heterogeneous quadratic programming problems |
09 and red spectral slopes provides direct evidence for | galactic | active galactic | 09 and red spectral slopes provides direct evidence for galactic cosmic ray gcr processing of the outer layers of the interstellar comet nucleus |
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