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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 |
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