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finally we outline several potential applications of nonlinear
sis
communication systems
finally we outline several potential applications of nonlinear sis in wireless communication scenarios
this paper presents a fully data-driven control framework for autonomous
underwater
underwater vehicles
this paper presents a fully data-driven control framework for autonomous underwater vehicles auvs based on data-enabled predictive control deepc
to build these models we propose a novel pipeline that constructs pairwise
preference
preference data
to build these models we propose a novel pipeline that constructs pairwise preference data using rule-based scoring and multidimensional sampling
it is difficult to identify especially when
claims
findings highlight
it is difficult to identify especially when claims distort or misinterpret scientific findings
we evaluate 15 foundation models across 79 problems spanning eight academic domains physics
mathematics
open-source models
we evaluate 15 foundation models across 79 problems spanning eight academic domains physics mathematics chemistry economics biology statistics calculus and optimization through three experimental phases 1 baseline establishment six models mixtral-8x7b phi-3 llama 3
we introduce the textbf boundless large model blm _1 a multimodal spatial foundation model that preserves instruction following and
reasoning
vision-language models vlms
we introduce the textbf boundless large model blm _1 a multimodal spatial foundation model that preserves instruction following and reasoning incorporates embodied knowledge and supports robust cross-embodiment control
neyman targeted estimation includes riesz representer
estimation
riesz regression
neyman targeted estimation includes riesz representer estimation and we measure discrepancies using the bregman divergence
our analysis reveals that while the recency effect directly aligns with short-term memory demand in the training data the primacy effect is induced by the uniform long-term memory
demand
recurrent neural
our analysis reveals that while the recency effect directly aligns with short-term memory demand in the training data the primacy effect is induced by the uniform long-term memory demand and is additionally influenced by the model s autoregressive properties and the formation of attention sinks
such a computation is enabled by contextual influences through which a neuron s response to visual inputs is influenced by contextual inputs outside its classical
receptive
neural representations
such a computation is enabled by contextual influences through which a neuron s response to visual inputs is influenced by contextual inputs outside its classical receptive fields
reconstructing images seen by people from their
fmri
receptive fields
reconstructing images seen by people from their fmri brain recordings provides a non-invasive window into the human brain
we define a new measure called the synchronization bottleneck of a graph which we denote by xi this new network property provides a quantification of the limiting bottleneck of the flow between any subset of
nodes
network structures
we define a new measure called the synchronization bottleneck of a graph which we denote by xi this new network property provides a quantification of the limiting bottleneck of the flow between any subset of nodes regardless of its order and the rest of the networked system
to realize this vision we introduce asynchronous thinking asyncthink as a new paradigm of reasoning with large language models which organizes the internal
thinking
reasoning tasks
to realize this vision we introduce asynchronous thinking asyncthink as a new paradigm of reasoning with large language models which organizes the internal thinking process into concurrently executable structures
we developed a stylized coupled human-environment model to investigate how social susceptibility personal prejudice and personal experience shape
opinion
opinion formation
we developed a stylized coupled human-environment model to investigate how social susceptibility personal prejudice and personal experience shape opinion formation and the environment in polarized populations
we compare qubo-based svm training to the classical libsvm solver and find that even low-precision
qubo
support vector machines
we compare qubo-based svm training to the classical libsvm solver and find that even low-precision qubo encodings e
efficiency without cognitive change evidence from human
interaction
ai systems
efficiency without cognitive change evidence from human interaction with narrow ai systems
minimax robust method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible spectral
densities
density estimation
minimax robust method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible spectral densities are given
by using the meta-algorithm with the measured
continuous
approximation factor
by using the meta-algorithm with the measured continuous greedy algorithm we obtain a 1-1 e -approximation resp
slt thus provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like
transitions
phase transition
slt thus provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like transitions in collective behavior
while autonomous racing performance in time-trial scenarios has seen significant progress and development autonomous wheel-to-wheel racing and
overtaking
collision avoidance
while autonomous racing performance in time-trial scenarios has seen significant progress and development autonomous wheel-to-wheel racing and overtaking are still severely limited
here we present a continuous-wave synthetic wavelength interferometry technique that employs digitally tunable electro-optic
frequency
frequency combs
here we present a continuous-wave synthetic wavelength interferometry technique that employs digitally tunable electro-optic frequency combs
this core migration could occur in a few 10 4 years consistent with high-mass star formation
time
massive stars
this core migration could occur in a few 10 4 years consistent with high-mass star formation time scales
we employed a multi-technique approach to characterize the chemical mechanical and
electrical
film thickness
we employed a multi-technique approach to characterize the chemical mechanical and electrical evolution of the films
soft policy-style changes that rescale and or shift a variable
s
policy learning
soft policy-style changes that rescale and or shift a variable s mechanism
to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of
robots
mobile robots
to illustrate the contrast between ei-inspired systems and traditional architectures that decouple sensing computation and actuation we present and discuss a collection of robots developed by the author and his team at the autonomous microrobotic systems laboratory amsl
we then provide each tree s structure to an
llm
models llms
we then provide each tree s structure to an llm enabling it to reproduce case-level predictions grounded in the transparent models
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
dark matter
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
this paper presents a comprehensive cross-platform evaluation of reasoning
capabilities
reasoning capabilities
this paper presents a comprehensive cross-platform evaluation of reasoning capabilities in contemporary foundation models establishing an infrastructure-agnostic benchmark across three computational paradigms hpc supercomputing marenostrum 5 cloud platforms nebius ai studio and university clusters a node with eight h20...
here though our results also show that the ability of viruses to infect tumours seems in certain cases more important to a final positive outcome than
tumours
viral replication
here though our results also show that the ability of viruses to infect tumours seems in certain cases more important to a final positive outcome than tumours motility or even reproducibility
this means that individuals within communities do not behave as independent demographic units as their lives are correlated through cooperation shared subsistence practices overlapping land use and exposure to common shocks such as
disease
human disturbance
this means that individuals within communities do not behave as independent demographic units as their lives are correlated through cooperation shared subsistence practices overlapping land use and exposure to common shocks such as disease outbreaks or failed harvests
unfortunately in too many cases today s ai is not
accountable
trustworthy ai
unfortunately in too many cases today s ai is not accountable -- we cannot question it enter into a discussion with it let alone sanction it
we investigate a quantum heat engine where energy exchanges are driven by generalized measurements and the sequence of these
operations
quantum advantage
we investigate a quantum heat engine where energy exchanges are driven by generalized measurements and the sequence of these operations is coherently controlled in a superposition of causal orders
a refiner agent synthesizes the search history which effectively compresses the researcher s perceived trajectory thereby reducing exploration cost and increasing the overall
reward
reward density
a refiner agent synthesizes the search history which effectively compresses the researcher s perceived trajectory thereby reducing exploration cost and increasing the overall reward density
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
bias-correction term
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
radio frequency rf signal recognition plays a critical role in modern
wireless
wireless networks
radio frequency rf signal recognition plays a critical role in modern wireless communication and security applications
the global system is described as the collection of landscapes of coexisting and interacting
collective
collective states
the global system is described as the collection of landscapes of coexisting and interacting collective states each characterized both by continuous activity frequency and discrete class variables
the proposed formulation provides a geometrically transparent and mathematically consistent foundation for
diffusion
diffusion models
the proposed formulation provides a geometrically transparent and mathematically consistent foundation for diffusion processes on nonlinear configuration spaces
through extensive experiments and human evaluations we show that our approach not only enhances alignment between explanation and prediction but also empowers mllms to deliver emotionally coherent
trustworthy
trustworthy ai
through extensive experiments and human evaluations we show that our approach not only enhances alignment between explanation and prediction but also empowers mllms to deliver emotionally coherent trustworthy interactions marking a key step toward truly human-like hci systems
the simulations include detailed modeling of star formation
chemical
galactic nuclei
the simulations include detailed modeling of star formation chemical enrichment and supernova feedback using the textsc celib and textsc grackle libraries achieving baryonic resolutions of sim2 times10 3 m_ odot
we show two applications 1 approximation algorithm for the s t -separating
submodular
submodular maximization
we show two applications 1 approximation algorithm for the s t -separating submodular k -partitioning problem for monotone and posimodular functions and 2 polynomial-time algorithm for the hypergraph orientation problem of finding an orientation that simultaneously has strong connectivity at least k and s t -connectivi...
reinforcement learning rl fine-tuning of large language models
llms
large language models llms
reinforcement learning rl fine-tuning of large language models llms often suffers from instability due to the numerical mismatch between the training and inference policies
unravelling the mechanisms of manipulating
numbers
language models
unravelling the mechanisms of manipulating numbers in language models
this work lays a foundation for future quantum
computing
quantum algorithm
this work lays a foundation for future quantum computing investigations of more complex and physically rich fermion-boson quantum field theories in higher dimensions
role division drives impact of resource allocation on
epidemic
resource allocation
role division drives impact of resource allocation on epidemic spreading
this paper presents a time-optimal model predictive control mpc scheme for linear discrete-time systems subject to multiplicative
uncertainties
predictive control
this paper presents a time-optimal model predictive control mpc scheme for linear discrete-time systems subject to multiplicative uncertainties represented by interval matrices
we consider the problem of maximizing a submodular function with access to a noisy value oracle for the
function
submodular maximization
we consider the problem of maximizing a submodular function with access to a noisy value oracle for the function instead of an exact value oracle
we release baseline experiments and preprocessing
tools
extensive experiments
we release baseline experiments and preprocessing tools to facilitate adoption
inference on welfare and value functionals under
optimal
policy optimization
inference on welfare and value functionals under optimal treatment assignment
the approach is evaluated across different network models
network
infectious individuals
the approach is evaluated across different network models network sizes and fraction of observed infections
in this regime langevin dynamics yields posterior samples when the exact scores of p x are available but it is brittle to score--estimation
error
langevin dynamics
in this regime langevin dynamics yields posterior samples when the exact scores of p x are available but it is brittle to score--estimation error requiring an mgf bound sub-exponential error
platforms such as the bee robeetle smallbug smarti waterstrider vleibot and frisshbot exemplify how feedback loops decision logics sensing mechanisms and smart actuation strategies can be embedded into the physical properties of the
robotic
mobile robots
platforms such as the bee robeetle smallbug smarti waterstrider vleibot and frisshbot exemplify how feedback loops decision logics sensing mechanisms and smart actuation strategies can be embedded into the physical properties of the robotic system itself
inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised
predictive
deep learning
inspired by predictive coding in neuroscience--which suggests that the brain predicts sensory inputs as a neural implementation of bayesian inference--and by auxiliary predictive objectives in deep rl we investigate whether integrating self-supervised predictive coding modules into meta-rl can facilitate learning of ba...
next we explore the role of machine-learning interatomic potentials mlips in
molecular
molecular dynamics
next we explore the role of machine-learning interatomic potentials mlips in molecular dynamics simulations and their applications to bulk materials low-dimensional systems and interfacial transport
in this paper we systematically evaluate llms reasoning capabilities in the
normative
normative reasoning
in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives
i develop a continuous functional framework for
spatial
dynamic spatial
i develop a continuous functional framework for spatial treatment effects grounded in navier-stokes partial differential equations
the bregman divergence encompasses various loss functions as special cases where the squared
loss
loss functions
the bregman divergence encompasses various loss functions as special cases where the squared loss yields riesz regression and the kullback-leibler divergence yields entropy balancing
a world model is an internal model that simulates how the
world
world models
a world model is an internal model that simulates how the world evolves
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
star-forming region
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
additionally we explore the use of pretrained foundation models specifically ct-fm and radimagenet to extract image
features
feature extraction
additionally we explore the use of pretrained foundation models specifically ct-fm and radimagenet to extract image features which are then used with traditional classifiers
the model integrates historical electricity demand and
comprehensive
electricity demand
the model integrates historical electricity demand and comprehensive weather and socioeconomic variables to predict normalized electricity demand profiles
emotion-coherent reasoning for multimodal
llms
llm responses
emotion-coherent reasoning for multimodal llms via emotional rationale verifier
nonparametric identification and estimation of
spatial
spatial treatment
nonparametric identification and estimation of spatial treatment effect boundaries evidence from 42 million pollution observations
since its introduction 3d gaussian splatting 3dgs has rapidly transformed the landscape of 3d
scene
gaussian splatting
since its introduction 3d gaussian splatting 3dgs has rapidly transformed the landscape of 3d scene representations inspiring an extensive body of associated research
human feedback is critical for aligning ai systems to
human
human feedback
human feedback is critical for aligning ai systems to human values
to effectively learn from these enriched alignments molbridge employs substructure-aware contrastive learning coupled with a self-refinement mechanism that filters out noisy
alignment
test-time alignment
to effectively learn from these enriched alignments molbridge employs substructure-aware contrastive learning coupled with a self-refinement mechanism that filters out noisy alignment signals
we evaluate its reasoning behavior across 12 dimensions including spatial geometric physical
temporal
reasoning capabilities
we evaluate its reasoning behavior across 12 dimensions including spatial geometric physical temporal and embodied logic systematically characterizing both its strengths and failure modes
recent deep learning based approaches have substantially improved performance and are now the standard in computer vision motivating their application to sea
ice
sea ice
recent deep learning based approaches have substantially improved performance and are now the standard in computer vision motivating their application to sea ice drift estimation
the feynman path integral formalism has inspired the development of memory-efficient and parallelizable classical
algorithms
quantum algorithm
the feynman path integral formalism has inspired the development of memory-efficient and parallelizable classical algorithms for simulating quantum computers
based on the real-world hierarchical structure of resource allocation this paper presents a coupled dynamic model of resource allocation and epidemic spreading that incorporates a role-based division of network nodes into
resource
mobility networks
based on the real-world hierarchical structure of resource allocation this paper presents a coupled dynamic model of resource allocation and epidemic spreading that incorporates a role-based division of network nodes into resource allocators and recipients
these surface brightnesses were outside the range of typical sdss
images
surface brightness
these surface brightnesses were outside the range of typical sdss images and therefore unstudied
a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger
receptive
visual stimuli
a popular opinion is that much of the contextual influences arise from feedback from higher visual areas whose neurons have larger receptive fields
point convergence of nesterov s accelerated
gradient
accelerated gradient
point convergence of nesterov s accelerated gradient method an ai-assisted proof
given the existence of efficient algorithms for integer
programs
integer programs
given the existence of efficient algorithms for integer programs with star-like structures and a closely related pattern where the sum of absolute values is column-wise bounded by 2 hence there are at most two non-zero entries per column of size at most 2 this hardness result is surprising
progress of the covid-19 pandemic was quantified in the first instance using the daily number of positive cases recorded by the national public
health
public health
progress of the covid-19 pandemic was quantified in the first instance using the daily number of positive cases recorded by the national public health authorities
our results thus demonstrate a robust route toward scalable and
efficient
quantum algorithm
our results thus demonstrate a robust route toward scalable and efficient boltzmann sampling on current quantum processors
l_ bol disk l_ edd propto t_p 4 propto m_ bullet -1 tde-specific physics correlations l_ plat propto m_ bullet 2 3 and r_ out r_g propto m_ bullet -2 3 and black hole-host galaxy correlations m_ bullet - m_ star and m_ bullet - sigma_ star naturally emerge from the data and for the first time are self-consistently exte...
bullet
dwarf galaxies
l_ bol disk l_ edd propto t_p 4 propto m_ bullet -1 tde-specific physics correlations l_ plat propto m_ bullet 2 3 and r_ out r_g propto m_ bullet -2 3 and black hole-host galaxy correlations m_ bullet - m_ star and m_ bullet - sigma_ star naturally emerge from the data and for the first time are self-consistently exte...
electric vehicle charging and geo-distributed datacenters introduce spatially flexible loads fls that couple
power
power systems
electric vehicle charging and geo-distributed datacenters introduce spatially flexible loads fls that couple power transportation and datacenter networks
we provide rigorous analyses of its non-asymptotic
convergence
convergence rate
we provide rigorous analyses of its non-asymptotic convergence rates showing an improvement over prior double-loop algorithms -- form o epsilon -3 log epsilon -1 to o epsilon -3
we investigate the relationship between disc winds radio jets accretion rates and black hole
masses
black hole mass
we investigate the relationship between disc winds radio jets accretion rates and black hole masses of a sample of sim 100k quasars at z approx 2
phyloformer 2 exploits a novel encoding for pairs of
sequences
phylogenetic tree
phyloformer 2 exploits a novel encoding for pairs of sequences that makes it more scalable than previous approaches and a parameterized probability distribution factorized over a succession of subtree merges
we have therefore developed a new formulation of
instanton
instanton theory
we have therefore developed a new formulation of instanton theory based on a projected flux correlation function that is applicable to these asymmetric systems
the resulting k -mismatch index uses o n log k n
space
compressed indexing
the resulting k -mismatch index uses o n log k n space and answers a query for a length- m pattern in o log k n log log n m occ time where occ is the number of approximate occurrences
recent work has shown that different large language models llms converge to similar and accurate input embedding
representations
language models
recent work has shown that different large language models llms converge to similar and accurate input embedding representations for numbers
however the current llm post-training paradigm faces significant data
challenges
training data
however the current llm post-training paradigm faces significant data challenges including the high costs of manual annotation and diminishing marginal returns on data scales
while large language models have been applied to energy systems as code generators and parameter extractors no existing implementation deploys
llms
models llms
while large language models have been applied to energy systems as code generators and parameter extractors no existing implementation deploys llms as autonomous coordinators managing the complete workflow from natural language input to multi-appliance scheduling
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 devices
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...
it naturally induces a decoupled numerical procedure to solve the
composite
bilevel optimization
it naturally induces a decoupled numerical procedure to solve the composite optimization problem
such a computation is enabled by contextual influences through which a neuron s response to visual inputs is influenced by contextual inputs outside its classical
receptive
higher-order visual
such a computation is enabled by contextual influences through which a neuron s response to visual inputs is influenced by contextual inputs outside its classical receptive fields
solving integer programs of the form min mathbf x mid a mathbf x mathbf b mathbf l leq mathbf x leq mathbf u
mathbf
integer programs
solving integer programs of the form min mathbf x mid a mathbf x mathbf b mathbf l leq mathbf x leq mathbf u mathbf x in mathbb z n is in general mathsf np -hard
we prepare different initial states and use quantum state tomography to track their evolution under this effective
nonlinear
quantum dot
we prepare different initial states and use quantum state tomography to track their evolution under this effective nonlinear hamiltonian
modeling public opinion dynamics the spiral of
silence
opinion dynamics
modeling public opinion dynamics the spiral of silence in clustered homophilic networks
we present a systematic study of super excitation applied to a single gaas
quantum
quantum dot
we present a systematic study of super excitation applied to a single gaas quantum dot in a low-q micropillar cavity
however discovering insights from this complex landscape is exploratory conceptually challenging and requires expertise in
social
social media
however discovering insights from this complex landscape is exploratory conceptually challenging and requires expertise in social media mining and visualization
we then discuss how the geometric primitives naturally
embed
geometric primitives
we then discuss how the geometric primitives naturally embed nullspace structures into the controllers that can be exploited for introducing secondary control objectives
we believe the most compelling evidence arises when the model itself
freely
open-source models
we believe the most compelling evidence arises when the model itself freely reproduces the target content
reconfigurable intelligent surface ris technology has emerged as a key enabler for future
wireless
reconfigurable intelligent surface
reconfigurable intelligent surface ris technology has emerged as a key enabler for future wireless communications
to tackle this challenge we propose braincognizer a novel brain decoding model
inspired
neural codes
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
the proposed approach enables scalable high-precision quantum synchronization in wireless indoor environments laying the groundwork for future joint
quantum
quantum dot
the proposed approach enables scalable high-precision quantum synchronization in wireless indoor environments laying the groundwork for future joint quantum communication sensing and positioning systems
4e views of cognition seek to replace many of the long-held assumptions of tra- ditional
cognitive
cognitive science
4e views of cognition seek to replace many of the long-held assumptions of tra- ditional cognitive science
when such estimates are insufficient to extrapolate effects for broader policy questions such as external validity and general-equilibrium ge effects researchers combine trials with external evidence from reduced-form or
structural
causal effects
when such estimates are insufficient to extrapolate effects for broader policy questions such as external validity and general-equilibrium ge effects researchers combine trials with external evidence from reduced-form or structural observational estimates or prior experiments
we introduce perception learning pel a paradigm that optimizes an agent s sensory interface f_ phi mathcal x to mathcal z using task-agnostic signals decoupled from downstream decision learning g_ theta mathcal z to
mathcal
learning algorithm
we introduce perception learning pel a paradigm that optimizes an agent s sensory interface f_ phi mathcal x to mathcal z using task-agnostic signals decoupled from downstream decision learning g_ theta mathcal z to mathcal y