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more broadly our work offers new insights into how people rapidly evaluate act and make suggestions when encountering novel problems and could inform the design of more
|
flexible
|
predictive processing
|
more broadly our work offers new insights into how people rapidly evaluate act and make suggestions when encountering novel problems and could inform the design of more flexible and human-like ai systems that can determine not just how to solve new tasks but whether a task is worth thinking about at all
|
two companion studies further demonstrate impact at scale gradient-based iterative methods for strategic bidding in energy markets and sobolev-style
|
training
|
gradient descent
|
two companion studies further demonstrate impact at scale gradient-based iterative methods for strategic bidding in energy markets and sobolev-style training of end-to-end optimization proxies using solver-accurate sensitivities
|
we find that shortcut learning is not localized in specific layers but
|
distributed
|
federated learning
|
we find that shortcut learning is not localized in specific layers but distributed throughout the network
|
as a result the gromov-wasserstein distance can be used to rank
|
edges
|
network structures
|
as a result the gromov-wasserstein distance can be used to rank edges depending on their criticality with respect to their individual impact on the overall infrastructure and level allowing for prioritizing maintenance emergency planning and enhancing the resilience of the urban transport network
|
our results underline the potential of generative
|
models
|
quantum mechanics
|
our results underline the potential of generative models as a general-purpose methodology for automated quantum circuit design offering a promising path towards more efficient quantum algorithms and accelerating scientific discovery in the quantum domain
|
we establish crucial correlations between the mosquito reproduction number mathcal r _ m and the disease
|
reproduction
|
reproduction number
|
we establish crucial correlations between the mosquito reproduction number mathcal r _ m and the disease reproduction number mathcal r _ 0 with the disease dynamics in a multi-patch environment encompassing not only a numerical analysis but also from a theoretical perspective
|
inference on local variable importance measures for heterogeneous
|
treatment
|
treatment effect
|
inference on local variable importance measures for heterogeneous treatment effects
|
the electron phonon coupling of a defect characterized by its huang rhys hr factor is a crucial metric determining its excited-state dynamics relevant to defect applications as qubits and
|
quantum
|
quantum technologies
|
the electron phonon coupling of a defect characterized by its huang rhys hr factor is a crucial metric determining its excited-state dynamics relevant to defect applications as qubits and quantum emitters
|
the era of agentic organization learning to organize with
|
language
|
large language
|
the era of agentic organization learning to organize with language models
|
based on this reformulation we propose a single-loop first-order algorithm for linearly constrained
|
bilevel
|
bilevel optimization
|
based on this reformulation we propose a single-loop first-order algorithm for linearly constrained bilevel optimization sflcb
|
to capture the long-term dependency and complex dynamics of
|
eeg
|
brain-computer interface
|
to capture the long-term dependency and complex dynamics of eeg we propose a hybrid encoder combining a mamba-like linear attention channel encoder and a spatiotemporal dynamics model
|
we apply a fine-tuning-plus-verifier framework in which llm
|
agents
|
llm agents
|
we apply a fine-tuning-plus-verifier framework in which llm agents are equipped with various communication strategies and verification signals from the environment
|
however its application is often hindered by low textbf
|
reward
|
reward density
|
however its application is often hindered by low textbf reward density in deep search scenarios where agents expend significant exploratory costs for infrequent and often null final rewards
|
do railway commuters exhibit consistent route choice rationality across
|
different
|
human mobility
|
do railway commuters exhibit consistent route choice rationality across different contexts and time
|
although it is often regarded as a recent innovation of the
|
agent
|
llm agents
|
although it is often regarded as a recent innovation of the agent era we argue that related practices can be traced back more than twenty years
|
to address this challenge researchers have recently introduced the concept of
|
context
|
context engineering
|
to address this challenge researchers have recently introduced the concept of context engineering
|
we give matching lower bounds up to polylogarithmic
|
factors
|
mathrm polylog
|
we give matching lower bounds up to polylogarithmic factors for both results
|
as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur
|
photonic
|
photonic crystal
|
as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur photonic crystal cavities and develop a tapered quasi loss-free cavity-waveguide interface to adiabatically interconvert bloch and waveguide modes
|
coupled flow matching builds on two components i an extended gromov-wasserstein optimal
|
transport
|
optimal transport
|
coupled flow matching builds on two components i an extended gromov-wasserstein optimal transport objective that establishes a probabilistic correspondence between data and embeddings and ii a dual-conditional flow-matching network that extrapolates the correspondence to the underlying space
|
we use real data as well as numerical simulations to
|
illustrate
|
empirical application
|
we use real data as well as numerical simulations to illustrate the performance of the proposed methods
|
hence we divide the main problem into two sub-problems the antenna activation
|
sub-problem
|
wireless networks
|
hence we divide the main problem into two sub-problems the antenna activation sub-problem and the power allocation sub-problem
|
we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as
|
active
|
massive galaxies
|
we use the database constructed in wasleske baldassare 2024 which contains dwarf galaxies that were selected as active galaxies by optical spectroscopy infrared colors x-ray brightness and photometric variability
|
to address these gaps we introduce the waymo open dataset for end-to-end
|
driving
|
autonomous driving
|
to address these gaps we introduce the waymo open dataset for end-to-end driving wod-e2e
|
this improvement allows the inverse optimal safe control to inherit the standard gain margin of 1 2 inf without requiring prior knowledge of whether f x or u0
|
acts
|
gain margin
|
this improvement allows the inverse optimal safe control to inherit the standard gain margin of 1 2 inf without requiring prior knowledge of whether f x or u0 acts safely on the safety boundary while simultaneously ensuring global asymptotic stability of the resulting safe set
|
this enables dynamic and real-time tasks that were previously believed to be unattainable by large
|
vla
|
vision-language-action vla
|
this enables dynamic and real-time tasks that were previously believed to be unattainable by large vla models
|
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and
|
adaptive
|
neural codes
|
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and adaptive cognition
|
on a real robot with 22 degrees of freedom dofs get-use outperforms state-of-the-art methods by 30-60 success rates across three vision-based bimanual mobile
|
manipulation
|
robotic manipulation
|
on a real robot with 22 degrees of freedom dofs get-use outperforms state-of-the-art methods by 30-60 success rates across three vision-based bimanual mobile manipulation tool-usage tasks
|
6 performance while dtc-vae delivered the most
|
consistent
|
consistently outperforms
|
6 performance while dtc-vae delivered the most consistent his with 92
|
quasi linear preprocessing time followed by
|
constant
|
-time algorithm
|
quasi linear preprocessing time followed by constant or logarithmic time per output
|
while meta-reinforcement learning rl agents can attain near bayes-optimal policies they often fail to learn the
|
compact
|
continual learning
|
while meta-reinforcement learning rl agents can attain near bayes-optimal policies they often fail to learn the compact interpretable bayes-optimal belief states
|
we propose a framework according to which ai
|
agents
|
trustworthy ai
|
we propose a framework according to which ai agents engagement is conditional on appropriate user behaviour
|
5 varepsilon n for 2 le k le o 1 and any constant
|
varepsilon
|
epsilon -approximate
|
5 varepsilon n for 2 le k le o 1 and any constant varepsilon 0
|
we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between
|
chemical
|
stellar population
|
we investigate the chemical content of 22 well-studied massive protostars from the sofia massive soma star formation survey aiming to identify correlations between chemical and physical parameters
|
a core challenge for 1pns is reliably measuring semantic differences between multi-step chains of
|
thought
|
thinking traces
|
a core challenge for 1pns is reliably measuring semantic differences between multi-step chains of thought so we introduce reasoning path divergence rpd a step-level metric that aligns and scores long chain-of-thought solutions to capture differences in intermediate reasoning
|
there are two major approaches in policy learning the empirical
|
welfare
|
policy learning
|
there are two major approaches in policy learning the empirical welfare maximization ewm approach and the plug-in approach
|
galaxy mergers trigger starburst activity and
|
galactic
|
galactic nuclei
|
galaxy mergers trigger starburst activity and galactic outflows that enrich the circumgalactic medium profoundly impacting galaxy evolution
|
machine translation mt is widely employed to address resource scarcity in low-resource
|
languages
|
large language
|
machine translation mt is widely employed to address resource scarcity in low-resource languages by generating synthetic data from high-resource counterparts
|
emergence of hybrid computational dynamics through
|
reinforcement
|
artificial intelligence
|
emergence of hybrid computational dynamics through reinforcement learning
|
open-source software is available which implements the
|
proposed
|
existing methods
|
open-source software is available which implements the proposed methods
|
extensive experiments demonstrate that our method effectively imitates various
|
categories
|
extensive experiments
|
extensive experiments demonstrate that our method effectively imitates various categories of effect information and exhibits outstanding generalization to out-of-domain effects
|
using a simulation model based on the prisoner s dilemma and quantal response equilibrium we analyze how variations in these learning
|
rates
|
learning rates
|
using a simulation model based on the prisoner s dilemma and quantal response equilibrium we analyze how variations in these learning rates affect the emergence of large-scale network structures
|
while focused on cooperation our assumptions generalize to any decision-making process involving a
|
choice
|
control strategies
|
while focused on cooperation our assumptions generalize to any decision-making process involving a choice between alternative options
|
in this work we aim to explain this conflict by exploring how language models manipulate
|
numbers
|
large language models llms
|
in this work we aim to explain this conflict by exploring how language models manipulate numbers and quantify the lower bounds of accuracy of these mechanisms
|
state-space models ssms are a widely used tool in time
|
series
|
time series
|
state-space models ssms are a widely used tool in time series analysis
|
our analysis focuses on cases where this game qualifies as a markov potential game mpg a class of games where we can provide an alignment guarantee under a structural assumption on the human s value function any decision by the
|
agent
|
reinforcement learning
|
our analysis focuses on cases where this game qualifies as a markov potential game mpg a class of games where we can provide an alignment guarantee under a structural assumption on the human s value function any decision by the agent to act more autonomously that benefits itself cannot harm the human s value
|
furthermore we introduce vnia visual narrative intent alignment a
|
multimodal
|
vision-language models vlms
|
furthermore we introduce vnia visual narrative intent alignment a multimodal dataset specifically created to facilitate the development and evaluation of vlm steering techniques
|
our findings highlight the importance of designing interactions with
|
generative
|
generative ai
|
our findings highlight the importance of designing interactions with generative ai systems as reflective thought partners that complement human strengths and augment creative processes
|
our results imply that quantum fluctuations have a measurable influence on selecting the
|
ground
|
ground state
|
our results imply that quantum fluctuations have a measurable influence on selecting the ground state of a system out of competing ordered magnetic phases at low temperature
|
consider the setting in which a researcher is interested in the causal effect of a treatment z on a duration
|
time
|
treatment effect
|
consider the setting in which a researcher is interested in the causal effect of a treatment z on a duration time t which is subject to right censoring
|
we also present a range of illustrative examples including correlated versions of erd h o s-r enyi and inhomogeneous random graph models and
|
dynamic
|
correlation network
|
we also present a range of illustrative examples including correlated versions of erd h o s-r enyi and inhomogeneous random graph models and dynamic networks
|
for task assignment we present two multi-objective algorithms non-dominated sorting genetic
|
algorithm
|
objective function
|
for task assignment we present two multi-objective algorithms non-dominated sorting genetic algorithm nsga and adaptive large neighborhood search alns
|
this formulates the problem as a co-optimization setup to i optimize the data processing and ii optimally
|
allocate
|
optimization problem
|
this formulates the problem as a co-optimization setup to i optimize the data processing and ii optimally allocate the computing resources
|
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual
|
reasoning
|
multimodal reasoning
|
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual reasoning scenarios
|
large language models llms are widely used in
|
generative
|
natural language
|
large language models llms are widely used in generative applications such as chatting code generation and reasoning
|
instrumental variable methods are fundamental to causal inference when
|
treatment
|
treatment regimes
|
instrumental variable methods are fundamental to causal inference when treatment assignment is confounded by unobserved variables
|
meanwhile it provides a unified theoretical explanation for classic topological characteristics such as small-world networks and
|
scale-free
|
scale-free networks
|
meanwhile it provides a unified theoretical explanation for classic topological characteristics such as small-world networks and scale-free networks
|
its success is partly attributed to conditioning policies on large fixed
|
context
|
context length
|
its success is partly attributed to conditioning policies on large fixed context length
|
we present a generalization of this problem where inspired by biological considerations the
|
food
|
ecological communities
|
we present a generalization of this problem where inspired by biological considerations the food web has weighted edges to represent the importance of predator-prey relationships
|
we present a general strategy for turning
|
generative
|
generative models
|
we present a general strategy for turning generative models into candidate solution samplers for batch bayesian optimization bo
|
the report is organized around three core capabilities required for brain emulation recording brain function neural dynamics mapping brain structure connectomics and
|
emulation
|
surrogate brain
|
the report is organized around three core capabilities required for brain emulation recording brain function neural dynamics mapping brain structure connectomics and emulation and embodiment computational neuroscience
|
prior work has typically compared systems using a single representational similarity
|
metric
|
abstract representations
|
prior work has typically compared systems using a single representational similarity metric yet each captures only one facet of representational structure
|
this theory further promotes nonlinear transport as a probe of
|
geometric
|
third-order nonlinear transport
|
this theory further promotes nonlinear transport as a probe of geometric effects and phase transitions in quantum materials
|
the discriminator is trained using a combination of real-world data and simulation data executed by the agent which is designed to train a
|
policy
|
imitation learning
|
the discriminator is trained using a combination of real-world data and simulation data executed by the agent which is designed to train a policy that generates realistic motion trajectories that match the statistical properties of human motion
|
artificial intelligence systems based on large language
|
models
|
ai use
|
artificial intelligence systems based on large language models llms can now generate coherent text music and images yet they operate without a persistent state each inference reconstructs context from scratch
|
simulations showed that grassmannian signaling provides competitive bit error rates ber at low signal-to-noise
|
ratio
|
signal-to-noise ratio
|
simulations showed that grassmannian signaling provides competitive bit error rates ber at low signal-to-noise ratio snr regimes with low probability of detection at the unintended receiver compared to coherent schemes that use qpsk or qam modulation formats and need pilots to perform channel estimation
|
the basic reproduction number mathcal r_0 calculated from models that assume homogeneous mixing or single-layer contact structures have limited
|
applicability
|
basic reproduction
|
the basic reproduction number mathcal r_0 calculated from models that assume homogeneous mixing or single-layer contact structures have limited applicability to complex social systems
|
agent-based simulations reproduce these patterns under controlled
|
dynamics
|
traffic dynamics
|
agent-based simulations reproduce these patterns under controlled dynamics and a simple analytical decomposition clarifies why network interactions explain a large share of cross-sectional variance when only macro-level counts are available but much less once recent town-level case histories are included
|
we find that simply imposing the m_ rm bh - sigma_ star condition is sufficient to generate a
|
fraction
|
stellar population
|
we find that simply imposing the m_ rm bh - sigma_ star condition is sufficient to generate a fraction of quenched galaxies consistent with current data including the newest ones from euclid
|
unsupervised learning is therefore a natural approach for exploring the design of
|
biological
|
neural codes
|
unsupervised learning is therefore a natural approach for exploring the design of biological neural networks and their computations
|
the ac optimal power flow ac-opf problem is central to
|
power
|
optimal power
|
the ac optimal power flow ac-opf problem is central to power system operation but challenging to solve efficiently due to its nonconvex and nonlinear nature
|
across three real-world tasks and two embodiments hi-ors fine-tunes a pi-base policy to master contact-rich
|
manipulation
|
manipulation ordering
|
across three real-world tasks and two embodiments hi-ors fine-tunes a pi-base policy to master contact-rich manipulation in just 1
|
we provide the first multi-wavelength polarisation decomposed characterisation of the principal modes of a
|
photonic
|
integrated photonics
|
we provide the first multi-wavelength polarisation decomposed characterisation of the principal modes of a photonic lantern
|
modeling object attention in mobile ar for intrinsic
|
cognitive
|
object recall
|
modeling object attention in mobile ar for intrinsic cognitive security
|
scalable solid state single-photon sources spss with triggered single-photon emission rates exceeding a few ghz would aid in the wide technological adoption of photonic
|
quantum
|
quantum emitters
|
scalable solid state single-photon sources spss with triggered single-photon emission rates exceeding a few ghz would aid in the wide technological adoption of photonic quantum technologies
|
finally we outline open problems in the field and present a roadmap for integrating tf-qkd into scalable quantum
|
networks
|
quantum advantage
|
finally we outline open problems in the field and present a roadmap for integrating tf-qkd into scalable quantum networks underscoring its central role in the future quantum internet
|
morphology-aware graph reinforcement learning for tensegrity
|
robot
|
motion planning
|
morphology-aware graph reinforcement learning for tensegrity robot locomotion
|
formulas for calculating the mean square errors and the spectral characteristics of the optimal linear estimate of the functional are derived in the case where the
|
spectral
|
spectral density
|
formulas for calculating the mean square errors and the spectral characteristics of the optimal linear estimate of the functional are derived in the case where the spectral density matrices are exactly known
|
i develop a nonparametric framework for identifying
|
spatial
|
spatial treatment
|
i develop a nonparametric framework for identifying spatial boundaries of treatment effects without imposing parametric functional form restrictions
|
identifying geometric third-order nonlinear
|
transport
|
third-order nonlinear transport
|
identifying geometric third-order nonlinear transport in disordered materials
|
it is not possible for example to get o 1
|
query
|
query time
|
it is not possible for example to get o 1 query time using nv o n bits of space when v theta log n and assuming the word ram model with o log n -bit words
|
these results confirm the potential of lightweight ai-based
|
csi
|
channel state information csi
|
these results confirm the potential of lightweight ai-based csi prediction to effectively mitigate channel aging and enhance link adaptation in tdd 5g systems
|
while diffusion language models dlms enable fine-grained refinement their practical controllability
|
remains
|
language agents
|
while diffusion language models dlms enable fine-grained refinement their practical controllability remains fragile
|
in this work we present a clear and robust morphological analysis of a sample of 190 galaxies at z 6 demonstrating that distinct
|
bulge
|
massive stars
|
in this work we present a clear and robust morphological analysis of a sample of 190 galaxies at z 6 demonstrating that distinct bulge and disk components were already beginning to emerge during this early epoch
|
in this paper we conduct a unified sample complexity analysis of
|
zeroth-order
|
zeroth-order methods
|
in this paper we conduct a unified sample complexity analysis of zeroth-order methods across gradient estimators with different search directions
|
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and
|
adaptive
|
artificial neural
|
more broadly they point to an intrinsic neural signature of adaptive brain function marked by efficient yet flexible network organization that may support creative and adaptive cognition
|
4 the siren x-ray and optical emissions take over each other twice per
|
cycle
|
vi emission
|
4 the siren x-ray and optical emissions take over each other twice per cycle possibly with two different peak x-ray fluxes within one cycle
|
in this study we first prove that the density-ratio estimation method proposed in
|
lin
|
ate estimation
|
in this study we first prove that the density-ratio estimation method proposed in lin et al
|
we quantify the dependence of magnetic fields on star formation activity including both
|
regular
|
magnetic field
|
we quantify the dependence of magnetic fields on star formation activity including both regular and starburst galaxies
|
this paper proposes a new method for estimating conditional
|
average
|
treatment effect boundaries
|
this paper proposes a new method for estimating conditional average treatment effects cate in randomized experiments
|
our formation planner is a two-step optimization problem that identifies desired relative
|
robot
|
multi-robot collaboration
|
our formation planner is a two-step optimization problem that identifies desired relative robot positions
|
the structure of relation decoding linear operators in large
|
language
|
language models
|
the structure of relation decoding linear operators in large language models
|
neuronmm high-performance matrix multiplication for llm
|
inference
|
models llms
|
neuronmm high-performance matrix multiplication for llm inference on aws trainium
|
our results constitute a substantial development on existing corrections to mean-field theory for infectious
|
individuals
|
infectious individuals
|
our results constitute a substantial development on existing corrections to mean-field theory for infectious individuals in sis processes and provide an in-depth characterization of how structural randomness in networks affects the dynamical trajectories of infectious diseases on networks
|
our approach culminates in the successful
|
deployment
|
llm post-training
|
our approach culminates in the successful deployment of llms into a live large-scale online ai service
|
unlike autoregressive captioning the strength of the
|
visual
|
vision-language models vlms
|
unlike autoregressive captioning the strength of the visual learning signal in mdc does not depend on each token s position in the sequence reducing the need for auxiliary objectives
|
we further reveal that quantum jump induce quasicycles whose amplitude
|
scales
|
super-heisenberg scaling
|
we further reveal that quantum jump induce quasicycles whose amplitude scales inversely with the square root of the system size
|
a prevailing theory in cognitive neuroscience proposes that the human brain operates through hierarchical predictive processing which underlies flexible
|
cognition
|
human 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
|
simulation studies demonstrate the finite-sample performance of the
|
proposed
|
numerical experiments
|
simulation studies demonstrate the finite-sample performance of the proposed method and two empirical applications illustrate its practical utility
|
the external medium also influences the evolution of circumstellar disks and protostellar outflows with the high-density external medium disks grow rapidly but their mass becomes smaller relative to the
|
protostellar
|
circumgalactic medium
|
the external medium also influences the evolution of circumstellar disks and protostellar outflows with the high-density external medium disks grow rapidly but their mass becomes smaller relative to the protostellar mass and the outflow is sustained over a long duration
|
the new technique is executed with a spatially filtered collimated gaussian beam that is propagated through computer controlled rotating prpp to introduce the lab based turbulence on the
|
beam
|
beam shaping
|
the new technique is executed with a spatially filtered collimated gaussian beam that is propagated through computer controlled rotating prpp to introduce the lab based turbulence on the beam profile
|
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