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to bridge this gap we systematically evaluated eight | probabilistic | recurrent neural networks | to bridge this gap we systematically evaluated eight probabilistic deep learning models including two foundation models that have demonstrated strong performance on general forecasting benchmarks |
large language models llms commonly boost reasoning via sample-evaluate-ensemble decoders achieving | label | language models | large language models llms commonly boost reasoning via sample-evaluate-ensemble decoders achieving label free gains without ground truth |
we suggest that interactions between parallel subnetworks in the brain may underlie such learning we present a model of representation learning by ensembles of neural networks where each network learns to encode stimuli into an | abstract | artificial neural | we suggest that interactions between parallel subnetworks in the brain may underlie such learning we present a model of representation learning by ensembles of neural networks where each network learns to encode stimuli into an abstract representation space by cross-supervising interactions with other networks for inputs they receive simultaneously or in close temporal proximity |
recursive feasibility and finite-time convergence are ensured through an adaptive terminal | constraint | soft constraints | recursive feasibility and finite-time convergence are ensured through an adaptive terminal constraint mechanism |
the good agreement with experimental estimates demonstrates how time-independent variational calculations of excited states using | density | density functional | the good agreement with experimental estimates demonstrates how time-independent variational calculations of excited states using density functionals can give accurate results and thereby provide a powerful screening tool for identifying other defect systems as candidates for quantum technologies |
beating the winner s curse via inference-aware | policy | policy evaluation | beating the winner s curse via inference-aware policy optimization |
while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography | eeg | functional connectivity | while resting-state fmri studies have revealed large-scale network correlates of creative potential electroencephalography eeg offers a temporally precise and scalable approach to capture the fast oscillatory dynamics that underlie spontaneous neural organization |
the agent adapts message specificity and timing to the particulars of a user and scenario based on projections of how prior-guided interpretation of messages will influence attention to the interface and subsequent | belief | temporal semantics | the agent adapts message specificity and timing to the particulars of a user and scenario based on projections of how prior-guided interpretation of messages will influence attention to the interface and subsequent belief update across several timesteps out to a fixed horizon |
instead of sharing a global low-resolution space each part in our method - even small ones - is | generated | layout generation | instead of sharing a global low-resolution space each part in our method - even small ones - is generated at full resolution enabling the synthesis of intricate details |
we propose to combine the reconstruction loss with training for dynamic correspondence along with a visibility head and fine-tuning mast3r for point | tracking | point tracking | we propose to combine the reconstruction loss with training for dynamic correspondence along with a visibility head and fine-tuning mast3r for point tracking using a relatively small amount of synthetic data |
this study bridges the gap between the two approaches by showing that both are based on essentially the same | optimization | minimax optimal | this study bridges the gap between the two approaches by showing that both are based on essentially the same optimization problem |
we systematically study the spectral-norm error tilde a -1 _p - a_p -1 for an n times n symmetric | matrix | spectral density matrices | we systematically study the spectral-norm error tilde a -1 _p - a_p -1 for an n times n symmetric matrix a where a_p -1 denotes the best rank- p approximation of a -1 and tilde a a e is a noisy observation |
species distribution models sdms which aim to predict | species | ecological interactions | species distribution models sdms which aim to predict species occurrence based on environmental variables are widely used to monitor and respond to biodiversity change |
with those we perform a systematic analysis of the group s dynamics in the core and its embedding in the local | cosmic | dark matter | with those we perform a systematic analysis of the group s dynamics in the core and its embedding in the local cosmic environment |
our model uniquely utilizes a quantum-enhanced generator that outputs parameters mean and log-variance of a gaussian distribution via reparameterization | combined | generative ai | our model uniquely utilizes a quantum-enhanced generator that outputs parameters mean and log-variance of a gaussian distribution via reparameterization combined with a wasserstein critic to stabilize adversarial training |
importantly our method operates on probability | predictions | predictive performance | importantly our method operates on probability predictions and event outcomes and does not require under-the-hood access to the machine learning model |
we introduce a logic called neighborhood operator logic with acyclicity connectivity and clique constraints mathsf neo _2 mathsf ack for short that captures all np-hard problems unicode x2013 like independent set or hamiltonian cycle unicode x2013 that are known to be tractable in time 2 mathcal o k n mathcal o 1 and space n mathcal o 1 on n -vertex | graphs | regular graphs | we introduce a logic called neighborhood operator logic with acyclicity connectivity and clique constraints mathsf neo _2 mathsf ack for short that captures all np-hard problems unicode x2013 like independent set or hamiltonian cycle unicode x2013 that are known to be tractable in time 2 mathcal o k n mathcal o 1 and space n mathcal o 1 on n -vertex graphs provided with elimination forests of depth k |
the model naturally accepts interleaved vision-language inputs and generates interleaved | vision-language | vision-language models vlms | the model naturally accepts interleaved vision-language inputs and generates interleaved vision-language outputs |
they do not break network nonlocality which enables one to identify useful quantum | channels | quantum channels | they do not break network nonlocality which enables one to identify useful quantum channels in networks |
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 | data-driven stabilization | 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 |
in this paper we prove that a graph is of ferrer | dimension | ferrers dimension | in this paper we prove that a graph is of ferrer dimension three equivalent to the intersection bigraph of orthants and points in mathbb r 3 if and only if it admits a biadjacency matrix representation that does not contain gamma begin bmatrix 1 1 0 1 0 1 end bmatrix and delta begin bmatrix 1 0 1 1 0 1 end bmatrix where denotes zero or one entry |
numerous mitigation methods exist for quantum noise suppression making it challenging to identify the optimum approach for a specific application especially as ongoing advances in hardware tuning and error correction are expected to reduce logical | error | quantum computing | numerous mitigation methods exist for quantum noise suppression making it challenging to identify the optimum approach for a specific application especially as ongoing advances in hardware tuning and error correction are expected to reduce logical error rates |
tests on synthetic and real-world networks show that the genepy can shed new light about the nodes centrality carrying information generally poorly correlated with the nodes number of direct connections | nodes | correlation network | tests on synthetic and real-world networks show that the genepy can shed new light about the nodes centrality carrying information generally poorly correlated with the nodes number of direct connections nodes degree |
finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement | channels | quantum coherence | finally we present a proof-of-principle simulation on the ibm quantum experience platform realizing a quantum switch of two measurement channels with tunable strengths and experimentally confirming the predicted efficiency enhancement enabled by correlation-assisted superposed causal order |
existing approaches often overlook these spatial relationships limiting their | flexibility | existing approaches | existing approaches often overlook these spatial relationships limiting their flexibility and scalability |
we demonstrate that af consistently outperforms rf xgboost and other weighted rf in binary and multi-class classification problems over 20 | real-world | real-world datasets | we demonstrate that af consistently outperforms rf xgboost and other weighted rf in binary and multi-class classification problems over 20 real-world datasets |
the realization of this vision critically depends on developing advanced receiver architectures that merge nanoscale | communication | wireless communication | the realization of this vision critically depends on developing advanced receiver architectures that merge nanoscale communication and networking techniques with bio-cyber interfaces ensuring energy-efficient reliable and low-complexity modulation and detection while maintaining biocompatibility |
the authors address the challenge posed by rapidly evolving sub-cultural | languages | multilingual data | the authors address the challenge posed by rapidly evolving sub-cultural languages and slang which complicate automated information extraction and law enforcement monitoring |
taken together our analysis clarifies the trade-off between | action | vision-language models vlms | taken together our analysis clarifies the trade-off between action fine-tuning and the degradation of vl representations and highlights practical approaches to recover inherited vl capabilities |
importantly our method operates on probability | predictions | debiased machine learning | importantly our method operates on probability predictions and event outcomes and does not require under-the-hood access to the machine learning model |
these findings suggest that reinforcement learning approaches can be effectively adapted for use in random | nonstationary | continual learning | these findings suggest that reinforcement learning approaches can be effectively adapted for use in random nonstationary and reward-sparse environments |
monte carlo simulations show that kp usually performs better than j which is prone to severe | size | monte carlo | monte carlo simulations show that kp usually performs better than j which is prone to severe size distortions |
however no consistent relationships were found between bird | communities | ecological communities | however no consistent relationships were found between bird communities and abiotic variables such as weather temperature and elevation likely due to the single-visit sampling design |
maps converts attribution maps into explanation-masked images emis and compares image-by-image human accuracies on these minimal | images | receptive fields | maps converts attribution maps into explanation-masked images emis and compares image-by-image human accuracies on these minimal images with limited pixel budgets with accuracies on the full stimuli |
a research roadmap for augmenting software engineering processes and software products with | generative | generative models | a research roadmap for augmenting software engineering processes and software products with generative ai |
this paper studies how to achieve accurate | modeling | data-driven stabilization | this paper studies how to achieve accurate modeling and effective control in stochastic nonlinear dynamics with multiple interacting objects |
we envision a new era of ai termed agentic organization where | agents | language agents | we envision a new era of ai termed agentic organization where agents solve complex problems by working collaboratively and concurrently enabling outcomes beyond individual intelligence |
we also show that the method naturally extends to graph | states | quantum dot | we also show that the method naturally extends to graph states that are local clifford equivalent to ghz states |
we unveil the behaviour of the system for all | physical | complex systems | we unveil the behaviour of the system for all physical relevant values of the parameters and several representative interaction networks |
diffusion models for wireless transceivers from pilot-efficient | channel | wireless systems | diffusion models for wireless transceivers from pilot-efficient channel estimation to ai-native 6g receivers |
it further decomposes the evaluation of llm performance into six fundamental | capabilities | llm agents | it further decomposes the evaluation of llm performance into six fundamental capabilities including opinion consistency memory recall logical reasoning lexical fidelity persona tone and syntactic style |
to address the practical demands of multi-modal open-vocabulary goal queries and multi-goal visual navigation we propose lagmemo a | navigation | visual navigation | to address the practical demands of multi-modal open-vocabulary goal queries and multi-goal visual navigation we propose lagmemo a navigation system that leverages a language 3d gaussian splatting memory |
our spg-cdenet consists of two key components a spatial prior network and a cross dual | encoder | encoder network | our spg-cdenet consists of two key components a spatial prior network and a cross dual encoder network |
the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar | masses | star clusters | the simulated galaxies reproduce the observed stellar-to-halo mass mass--metallicity and size--mass relations yielding stellar masses of 10 6-10 8 m_ odot and metallicities consistent with those of local group dwarf galaxies |
yet it remains unclear whether constrained prompts | actually | user experience | yet it remains unclear whether constrained prompts actually improve player experience |
nonetheless this approach typically assumes a deterministic payoff | structure | collective systems | nonetheless this approach typically assumes a deterministic payoff structure for social interactions |
to address these limitations we propose ordermind a unified spatial-aware manipulation ordering framework that directly learns object | manipulation | manipulation ordering | to address these limitations we propose ordermind a unified spatial-aware manipulation ordering framework that directly learns object manipulation priorities based on spatial context |
i show that under independence assumptions vars can identify average treatment effects | average | policy evaluation | i show that under independence assumptions vars can identify average treatment effects average causal responses or a mix of the two depending on the distribution of the policy |
for pcg and ecg signals recorded from the device in noisy hospital settings the proposed algorithms achieved signal-to-noise | ratio | signal-to-noise ratio | for pcg and ecg signals recorded from the device in noisy hospital settings the proposed algorithms achieved signal-to-noise ratio improvements of 37 |
we refer to this riesz representer estimation as generalized | riesz | riesz regression | we refer to this riesz representer estimation as generalized riesz regression |
our results thus demonstrate a robust route toward scalable and | efficient | quantum computing | our results thus demonstrate a robust route toward scalable and efficient boltzmann sampling on current quantum processors |
this enables dynamic and real-time tasks that were previously | believed | real-world applications | this enables dynamic and real-time tasks that were previously believed to be unattainable by large vla models |
network nonlocality a recently noted form of nonlocality has been shown to have distinctive features marking a significant departure from the notion of standard bell | nonlocality | quantum channels | network nonlocality a recently noted form of nonlocality has been shown to have distinctive features marking a significant departure from the notion of standard bell nonlocality in the context of quantum correlations |
third traditional difference-in-differences methods that ignore | spatial | treatment effect | third traditional difference-in-differences methods that ignore spatial and network structure exhibit 61 percent bias in estimated treatment effects |
genesis thus advances a unified theoretical framework that bridges semantic and | episodic | working memory | genesis thus advances a unified theoretical framework that bridges semantic and episodic memory offering new insights into the generative foundations of human cognition |
our study focuses on how assembly history governs the structural and kinematic | diversity | galaxy cgm | our study focuses on how assembly history governs the structural and kinematic diversity of dwarf galaxies within the lambda cdm framework |
network nonlocality a recently noted form of nonlocality has been shown to have distinctive features marking a significant departure from the notion of standard bell | nonlocality | quantum correlations | network nonlocality a recently noted form of nonlocality has been shown to have distinctive features marking a significant departure from the notion of standard bell nonlocality in the context of quantum correlations |
existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large | language | language models | existing benchmarks have widely leveraged high school math competitions for evaluating mathematical reasoning capabilities of large language models llms |
the accuracy and reliability of this methodology is further demonstrated through a series of | numerical | numerical experiments | the accuracy and reliability of this methodology is further demonstrated through a series of numerical experiments |
existing theoretical frameworks typically assume homogeneous network structures and constant or pulse-like inputs overlooking how heterogeneity in structure and variety of input shape | transient | transient dynamics | existing theoretical frameworks typically assume homogeneous network structures and constant or pulse-like inputs overlooking how heterogeneity in structure and variety of input shape transient responses often leading to discrepancies between theory and observation |
communication and verification in llm agents towards | collaboration | llm agents | communication and verification in llm agents towards collaboration under information asymmetry |
the drl agent interacts with the environment and learns optimal strategies through trial and error | guided | deep reinforcement | the drl agent interacts with the environment and learns optimal strategies through trial and error guided by predefined rewards |
we collected a larger and more diverse dataset that includes both | road | autonomous driving | we collected a larger and more diverse dataset that includes both road and grass terrains and validated seq-deepipc on a robot dog |
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 | receptive fields | 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 |
our models allow us to fit continuum shapes bounded together with the line profiles which gives additional constraints on the gas structure of | wa | dense gas | our models allow us to fit continuum shapes bounded together with the line profiles which gives additional constraints on the gas structure of wa in this source |
our findings provide actionable insights into how values are learned during post-training and help to inform data curation as well as the selection of models and algorithms for | preference | preference optimization | our findings provide actionable insights into how values are learned during post-training and help to inform data curation as well as the selection of models and algorithms for preference optimization to improve model alignment to human values |
yet when applied to train multi-turn interactive | llm | llm agents | yet when applied to train multi-turn interactive llm agents these methods often suffer from structural blindness-the inability to exploit the underlying connectivity of the environment |
the theory conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of | social | emergent behaviors | the theory conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of social energy |
this result shows that even under relaxed assumptions quantum | theory | quantum mechanics | this result shows that even under relaxed assumptions quantum theory resists reconciliation with classical notions of absolute events reinforcing the foundational significance of wigner s friend-type paradoxes in timelike scenarios |
we propose a data-driven framework for efficiently solving quadratic | programming | efficiently solving | we propose a data-driven framework for efficiently solving quadratic programming qp problems by reducing the number of variables in high-dimensional qps using instance-specific projection |
this entanglement biases conventional brain encoding analyses toward | linguistically | inner speech | this entanglement biases conventional brain encoding analyses toward linguistically shallow features e |
plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of | first-stage | regression function | plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of first-stage bias |
we consider a class of algorithms for this | problem | learning algorithm | we consider a class of algorithms for this problem which is provably minimax optimal up to a constant factor |
the nonlinear disturbance observer attenuates constant and nonlinear | disturbances | bounded disturbances | the nonlinear disturbance observer attenuates constant and nonlinear disturbances as well as band-limited white noise |
while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative | reasoning | large language | while large language models llms have demonstrated remarkable performance across various reasoning tasks their ability to handle normative reasoning remains underexplored |
a unified theory for causal inference direct debiased machine | learning | causal effects | a unified theory for causal inference direct debiased machine learning via bregman-riesz regression |
in network-based sis models of infectious disease transmission | infection | infectious individuals | in network-based sis models of infectious disease transmission infection can only occur between directly connected individuals |
by fitting up to three three epochs per source with a fully | relativistic | black hole | by fitting up to three three epochs per source with a fully relativistic disk model we show that many system properties can be reliably recovered including importantly the black hole mass m_ bullet |
we demonstrate this method in simulation and discuss how textit a priori understandings of | obstacle | obstacle avoidance | we demonstrate this method in simulation and discuss how textit a priori understandings of obstacle risk can be directly incorporated into the safety filter to generate safe behaviors that are risk-aware |
the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual | encoder | encoder network | the prior network generates coarse localization maps that delineate the approximate roi serving as spatial guidance for the dual encoder network |
omnilayout enabling coarse-to-fine learning with llms for universal document | layout | layout generation | omnilayout enabling coarse-to-fine learning with llms for universal document layout generation |
we note that all the main predictions on galaxy quenched fractions and smbh growth | histories | massive stars | we note that all the main predictions on galaxy quenched fractions and smbh growth histories and scaling relations are degenerate with those expected in a halo quenching model |
this paper addresses the challenges of giving a causal interpretation to | vector | vector autoregression | this paper addresses the challenges of giving a causal interpretation to vector autoregressions vars |
we demonstrate the performance of our algorithms in numerical simulations where they are used as an integral part of several iterative image reconstruction techniques classic variational methods such as non-negative least squares and total variation regularized least squares as well as | deep | gradient descent | we demonstrate the performance of our algorithms in numerical simulations where they are used as an integral part of several iterative image reconstruction techniques classic variational methods such as non-negative least squares and total variation regularized least squares as well as deep learning methods such as learned primal dual |
this capability is particularly relevant for active photonic circuits that generate | quantum | quantum emitters | this capability is particularly relevant for active photonic circuits that generate quantum light directly on-chip |
in this paper we systematically evaluate llms | reasoning | models llms | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
adapting large language models llms via reinforcement learning rl is often bottlenecked by the generation stage which can consume over 75 of the | training | continual learning | adapting large language models llms via reinforcement learning rl is often bottlenecked by the generation stage which can consume over 75 of the training time |
future work should reevaluate existing findings using the local gaussian | correlation | local gaussian correlation | future work should reevaluate existing findings using the local gaussian correlation method |
results demonstrate effective trajectory tracking and real-time state | estimation | state estimation | results demonstrate effective trajectory tracking and real-time state estimation highlighting the platform s potential as a cost effective and versatile tool for advanced research and educational applications |
through our work we aim to foster state of the art research into generalizable robust and safe end-to-end autonomous | driving | autonomous driving | through our work we aim to foster state of the art research into generalizable robust and safe end-to-end autonomous driving agents capable of handling complex real-world situations |
linearly transforming stimulus representations of deep neural networks yields high-performing models of | behavioral | receptive fields | linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli |
object-context shortcuts remain a persistent challenge in | vision-language | vision-language models vlms | object-context shortcuts remain a persistent challenge in vision-language models undermining zero-shot reliability when test-time scenes differ from familiar training co-occurrences |
in many problems involving causal effects or structural models the parameters of interest depend on | regression | causal effect | in many problems involving causal effects or structural models the parameters of interest depend on regression functions |
using network gradients it is possible to identify regions where the network pays attention during image | recognition | computer vision | using network gradients it is possible to identify regions where the network pays attention during image recognition tasks |
here we present a systematic analysis of four | quasars | active galactic | here we present a systematic analysis of four quasars initially selected by their ks-band variability amplitudes in the vista variables in the v i a l actea survey vvv vvvx |
to address this issue we propose a novel obstacle avoidance algorithm cooperative non-inertial frame-based obstacle avoidance coni-oa designed explicitly for uav-ugv cooperative scenarios without reliance on global state estimation or | obstacle | dynamic obstacles | to address this issue we propose a novel obstacle avoidance algorithm cooperative non-inertial frame-based obstacle avoidance coni-oa designed explicitly for uav-ugv cooperative scenarios without reliance on global state estimation or obstacle prediction |
for this correlation based photonic quantum computer the channels of the wave guides represent basis | states | quantum technologies | for this correlation based photonic quantum computer the channels of the wave guides represent basis states of a multi-qubit system rather than individual qubits |
we benchmark against a random sampling approach and we find that our optimization-based approach always finds larger | load | load shedding | we benchmark against a random sampling approach and we find that our optimization-based approach always finds larger load shedding |
to tackle this challenge we propose braincognizer a novel brain decoding model | inspired | neural representations | to tackle this challenge we propose braincognizer a novel brain decoding model inspired by human visual cognition which explores multi-level semantics and correlations without fine-tuning of generative models |
our results highlight the nuanced social dynamics of ai-mediated authorship and inform design implications for creating transparent context-sensitive writing | systems | ai literacy | our results highlight the nuanced social dynamics of ai-mediated authorship and inform design implications for creating transparent context-sensitive writing systems that better preserve trust and authenticity |
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