prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
values | full_sentence stringlengths 48 1.25k |
|---|---|---|---|
we show that if the system is controllable then incorporating this as | prior | prior knowledge | we show that if the system is controllable then incorporating this as prior knowledge does not relax the conditions required for data-driven stabilization |
furthermore we demonstrate the ability of the model to generalize across | diverse | world models | furthermore we demonstrate the ability of the model to generalize across diverse geographical contexts by utilizing datasets from two distinct regions abu dhabi and san francisco |
the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an | algorithm | quantum error correction | the quantum walk technique is a general framework for constructing quantum algorithms by transforming a classical random walk search into a quantum search and has been successfully applied to constructing an algorithm with a tight query complexity for another problem |
it has been proven that super-heisenberg scaling can be achieved when the hamiltonian of the system involves | many-body | quantum mechanics | it has been proven that super-heisenberg scaling can be achieved when the hamiltonian of the system involves many-body interactions or the time-dependent terms |
the usefulness of the method is demonstrated through an | empirical | empirical application | the usefulness of the method is demonstrated through an empirical application highlighting its complementarity to existing approaches |
slot attention explicitly to probe these benefits it remains unclear whether this | ability | visual stimuli | slot attention explicitly to probe these benefits it remains unclear whether this ability naturally emerges in pre-trained vision transformers vits |
we present an extremely simple polynomial-space exponential-time 1- varepsilon -approximation algorithm for max-k-sat that is slightly faster than the previous known | polynomial-space | polynomial time | we present an extremely simple polynomial-space exponential-time 1- varepsilon -approximation algorithm for max-k-sat that is slightly faster than the previous known polynomial-space 1- varepsilon -approximation algorithms by hirsch discrete applied mathematics 2003 and escoffier paschos and tourniaire theoretical comp... |
the faster the rate of change of the environment the larger the effect of the | mutations | environmental change | the faster the rate of change of the environment the larger the effect of the mutations that are utilised |
these challenges reveal key limitations of standard numerical techniques in multi-agent | control | optimal control | these challenges reveal key limitations of standard numerical techniques in multi-agent control and underscore the need for more robust nonlinear strategies for coordinating interacting agents |
our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum | correlations | entanglement entropy | our general interaction framework which reduces to several previously studied models as special cases provides a versatile platform for engineering quantum correlations with applications in quantum simulation state preparation and sensing protocols |
we study the convergence of off-policy td 0 with linear function approximation when used to approximate the expected discounted | reward | reward models | we study the convergence of off-policy td 0 with linear function approximation when used to approximate the expected discounted reward in a markov chain |
we derive closed-form solutions for optimal encoding and decoding coefficients via lagrangian duality and convex | optimization | inverse optimal issf | we derive closed-form solutions for optimal encoding and decoding coefficients via lagrangian duality and convex optimization and propose data allocation strategies that reduce both redundancy and computation load |
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 | complex networks | 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 |
whereas existing work typically imposes strong conditions to restore just-identification before deriving the efficiency bound we relax such assumptions and characterize the general efficiency | bound | ate estimation | whereas existing work typically imposes strong conditions to restore just-identification before deriving the efficiency bound we relax such assumptions and characterize the general efficiency bound along with efficient estimators in the overidentified models ii and iii |
in this paper we formalize this challenge as the textbf reward density | optimization | preference optimization | in this paper we formalize this challenge as the textbf reward density optimization problem which aims to improve the reward obtained per unit of exploration cost |
neyman targeted estimation also yields tmle as a special case for | regression | regression function | neyman targeted estimation also yields tmle as a special case for regression function estimation |
we aim at exploring the existence of a stellar mass-metallicity relation of bulges mz r and analyze the possible imprint of characteristics features by accretion and migration of | stars | stellar mass function | we aim at exploring the existence of a stellar mass-metallicity relation of bulges mz r and analyze the possible imprint of characteristics features by accretion and migration of stars which could store information on their assembly histories |
causal inference in high-dimensional generalized linear | models | causal effects | causal inference in high-dimensional generalized linear models with binary outcomes |
thus tokenization constitutes a novel direction in event-based vision and marks a step towards methods that preserve the properties of | event | event cameras | thus tokenization constitutes a novel direction in event-based vision and marks a step towards methods that preserve the properties of event cameras |
the emergence of hidden spin polarization in centrosymmetric nonmagnetic crystals due to local symmetry breaking has created new opportunities for potential spintronic applications and for enhancing our understanding of | mechanisms | hidden spin | the emergence of hidden spin polarization in centrosymmetric nonmagnetic crystals due to local symmetry breaking has created new opportunities for potential spintronic applications and for enhancing our understanding of mechanisms to electrically manipulate spin-related phenomena |
propagation speed of traveling waves for diffusive | lotka-volterra | traveling waves | propagation speed of traveling waves for diffusive lotka-volterra system with strong competition |
these findings challenge the assumption that task-specific pre-training is necessary and suggest that learning to forecast may provide a powerful route toward constructing general-purpose time | series | time series classification | these findings challenge the assumption that task-specific pre-training is necessary and suggest that learning to forecast may provide a powerful route toward constructing general-purpose time series foundation models |
the model also naturally generates smbh accretion | rates | accretion rate | the model also naturally generates smbh accretion rates peaking within 1 gyr of their host sfhs |
experimental results on several benchmarks as well as real-world deployments demonstrate that nanovla achieves up to 52x faster inference on edge devices compared to previous state-of-the-art | vla | vla models | experimental results on several benchmarks as well as real-world deployments demonstrate that nanovla achieves up to 52x faster inference on edge devices compared to previous state-of-the-art vla models with 98 less parameters while maintaining or surpassing their task accuracy and generalization |
fixed and increasing domain asymptotics for the roughness and scale of isotropic gaussian | random | random field | fixed and increasing domain asymptotics for the roughness and scale of isotropic gaussian random fields |
to mitigate the prohibitive overhead associated with full channel state information at the transmitter csit we propose a partial-csit-based | beamforming | beamforming design | to mitigate the prohibitive overhead associated with full channel state information at the transmitter csit we propose a partial-csit-based beamforming scheme that leverages randomized steering vectors and limited user-side feedback based on signal quality measurements |
causal inference identifies cause-and-effect | relationships | causal effects | causal inference identifies cause-and-effect relationships between variables |
our results show that approximate bayesian inference applied to deep neural networks is far from a lost cause when constructing | inference | generative models | our results show that approximate bayesian inference applied to deep neural networks is far from a lost cause when constructing inference mechanisms that reflect the geometry of reparametrizations |
gui knowledge bench revealing the knowledge gap behind vlm failures in | gui | gui knowledge | gui knowledge bench revealing the knowledge gap behind vlm failures in gui tasks |
5 nm anode contact to take advantage of the enhanced reverse blocking capabilities enabled by ptox while allowing low turn-on voltage by the interfacing thin | pt | ptox pt | 5 nm anode contact to take advantage of the enhanced reverse blocking capabilities enabled by ptox while allowing low turn-on voltage by the interfacing thin pt layer |
the recent advancement of multimodal large | language | large language models llms | the recent advancement of multimodal large language models mllms is transforming human-computer interaction hci from surface-level exchanges into more nuanced and emotionally intelligent communication |
benchmarks on molecular systems show excellent agreement with exact diagonalization and demonstrate access to dynamical timescales beyond the reach of purely classical methods highlighting its suitability for near-term and early fault-tolerant | quantum | quantum technologies | benchmarks on molecular systems show excellent agreement with exact diagonalization and demonstrate access to dynamical timescales beyond the reach of purely classical methods highlighting its suitability for near-term and early fault-tolerant quantum hardware |
quantization is the key method for reducing inference latency power and memory footprint of | generative | sparse autoencoders | quantization is the key method for reducing inference latency power and memory footprint of generative ai models |
the external medium also influences the evolution of circumstellar disks and protostellar outflows with the high-density | external | dense gas | 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 |
5 times smaller than star-forming populations at | similar | black hole mass | 5 times smaller than star-forming populations at similar mass and the typical black hole mass of lrds is elevated by 1 |
we demonstrate the value of this approach by applying it to a set of | experiments | randomized experiments | we demonstrate the value of this approach by applying it to a set of experiments and find that our method would have reduced the variance of the treatment effect estimate by 10 -50 compared to simple randomization in our empirical applications |
we develop an efficient algorithm to solve this bilevel | optimization | optimization problem | we develop an efficient algorithm to solve this bilevel optimization problem which computes parameter gradients without backpropagating through the solver |
in our model individuals of one species possess cognitive abilities to perceive environmental cues and assess the local density of the | species | ecological communities | in our model individuals of one species possess cognitive abilities to perceive environmental cues and assess the local density of the species they dominate in the spatial competition for natural resources |
the prediction of delivery status of dataco | supply | supply chain | the prediction of delivery status of dataco supply chain is done for risk administration |
let x_i d_i y_i _ i 1 n be the observations where x_i in mathbb r p denotes p -dimensional covariates d_i in 0 1 denotes a binary treatment | assignment | treatment assignment | let x_i d_i y_i _ i 1 n be the observations where x_i in mathbb r p denotes p -dimensional covariates d_i in 0 1 denotes a binary treatment assignment indicator and y_i in mathbb r is an outcome |
we present the first known pivot gray code for spanning trees of complete graphs listing all | spanning | spanning trees | we present the first known pivot gray code for spanning trees of complete graphs listing all spanning trees such that consecutive trees differ by pivoting a single edge around a vertex |
59 which is exponentially worse than the best known | lower | lower bound | 59 which is exponentially worse than the best known lower bound of omega log m log log m by ashlagi et al |
though convenient it is challenging to convey | fine-grained | natural language | though convenient it is challenging to convey fine-grained and referential intent |
self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of | large | large language models llms | self-improvement has emerged as a mainstream paradigm for advancing the reasoning capabilities of large vision-language models lvlms where models explore and learn from successful trajectories iteratively |
an understanding of the assembly history of the complex star cluster omega centauri has long been sought after with many studies separating the | stars | star-forming region | an understanding of the assembly history of the complex star cluster omega centauri has long been sought after with many studies separating the stars on the color-magnitude diagram into multiple groupings across small magnitude ranges |
incorporating causal knowledge and mechanisms is essential for refining | causal | interventional constraints | incorporating causal knowledge and mechanisms is essential for refining causal models and improving downstream tasks such as designing new treatments |
kagome metals are an intriguing class of quantum materials as the presence of both flat bands and dirac points provides access to functional | properties | electronic structure | kagome metals are an intriguing class of quantum materials as the presence of both flat bands and dirac points provides access to functional properties present in strongly correlated and topological materials |
simulation results demonstrate that the proposed aircnn | architectures | neural network | simulation results demonstrate that the proposed aircnn architectures can achieve satisfactory classification performance |
most existing methods rely on the generalization ability of pre-trained | vision-language | vision-language models | most existing methods rely on the generalization ability of pre-trained vision-language models vlms to recognize potentially anomalous regions through feature similarity between text descriptions and images |
cross-sectional fib-tem revealed thin tribofilms 12-17 nm in | thickness | film thickness | cross-sectional fib-tem revealed thin tribofilms 12-17 nm in thickness on si- and co-doped surfaces |
bidirectional yet asymmetric causality between urban systems and | traffic | traffic dynamics | bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide |
the resulting control law enables the quadrotor to follow its path despite internal and external disturbances with each subsystem allowed its own | disturbance | bounded disturbances | the resulting control law enables the quadrotor to follow its path despite internal and external disturbances with each subsystem allowed its own disturbance type for realism |
to address this we introduce the multi-organ medical image | reconstruction | image reconstruction | to address this we introduce the multi-organ medical image reconstruction more dataset comprising ct scans across 9 diverse anatomies with 15 lesion types |
however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational | advantage | quantum key distribution | however the performance of all previous digital quantum simulations has been matched by classical methods and it has thus far remained unclear whether near-term intermediate-scale quantum hardware could offer any computational advantage in this area |
colloidal transition metal dichalcogenides nanostructures are experimentally accessible and chemically | tunable | colloidal synthesis | colloidal transition metal dichalcogenides nanostructures are experimentally accessible and chemically tunable platforms for spintronics deserving dedicated research to assess their potential |
in the cold dark environments of pre-stellar | cores | star formation rates | in the cold dark environments of pre-stellar cores where the temperatures are below 10 k ne can condense onto the surface of interstellar grains |
offline clustering of preference learning with | active-data | preference learning | offline clustering of preference learning with active-data augmentation |
we find that simply imposing the m_ rm bh | - | dark matter | 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 |
as a consequence of the high variability of load demand and renewable generation long-term and high-resolution inputs are required for power system expansion | planning | expansion planning | as a consequence of the high variability of load demand and renewable generation long-term and high-resolution inputs are required for power system expansion planning making the problem intractable in real-world applications |
to establish a solid foundation for formal | reasoning | mathematical reasoning | to establish a solid foundation for formal reasoning in physics we also introduce physlib a community-driven repository containing fundamental unit systems and theorems essential for formal physics reasoning |
error bounds and optimal schedules for masked | diffusions | diffusion models | error bounds and optimal schedules for masked diffusions with factorized approximations |
while generative models especially large language models | llms | language models | while generative models especially large language models llms are ubiquitous in today s world principled mechanisms to assess their in correctness are limited |
moire-enabled optical vortex with tunable | topological | vortex phase | moire-enabled optical vortex with tunable topological charge in twisted bilayer photonic crystals |
out of the many deep reinforcement learning approaches for | autonomous | deep reinforcement learning | out of the many deep reinforcement learning approaches for autonomous driving only few make use of the options or skills framework |
using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing | viral | infectious individuals | using the proposed model we derive an analytical formula for viral populations at the cellular level based on viewing viral replication as a birth-death process |
however their success is tied to one core capability reliable object | detection | object detection | however their success is tied to one core capability reliable object detection in complex and multimodal environments |
media signals or mobilizing rhetoric can trigger coherence across the population resulting in large-scale synchronized | collective | collective action | media signals or mobilizing rhetoric can trigger coherence across the population resulting in large-scale synchronized collective actions such as protests or ideological shifts |
we investigate the fundamental problem of leveraging offline data to accelerate online reinforcement | learning | policy learning | we investigate the fundamental problem of leveraging offline data to accelerate online reinforcement learning - a direction with strong potential but limited theoretical grounding |
as a result srl enables small models to learn challenging problems previously unlearnable by | sft | open-source models | as a result srl enables small models to learn challenging problems previously unlearnable by sft or rlvr |
practically this model motivates a transparent control layer with predictable incentives where the agent learns to defer when risky and act when safe while its pretrained | policy | policy learning | practically this model motivates a transparent control layer with predictable incentives where the agent learns to defer when risky and act when safe while its pretrained policy and the environment s reward structure remain untouched |
understanding how this quantity can be manipulated and transformed efficiently is crucial for advancing quantum | energy | quantum batteries | understanding how this quantity can be manipulated and transformed efficiently is crucial for advancing quantum energy management technologies |
we provide asymptotic bounds on its overestimation and underestimation | probabilities | theoretical guarantees | we provide asymptotic bounds on its overestimation and underestimation probabilities and demonstrate first-order b-robustness of the criteria |
this observation indicates that ne and co create a mixture in which ne can diffuse and stabilize at the surface which isolates co | molecules | molecular gas | this observation indicates that ne and co create a mixture in which ne can diffuse and stabilize at the surface which isolates co molecules from the accreting h atoms |
we then employ methods from large deviation theory on discrete-time markov processes to study | stochastic | stochastic differential | we then employ methods from large deviation theory on discrete-time markov processes to study stochastic evolutionary dynamics |
local overidentification and efficiency gains in modern | causal | causal inference | local overidentification and efficiency gains in modern causal inference and data combination |
these structural changes are mirrored by an | electronic | electronic structure | these structural changes are mirrored by an electronic rearrangement at the interface quantified by a charge-accumulation descriptor that strongly correlates with adhesion |
we suggest that their low black hole masses are unlikely to be due to their small angles of inclination to the | line | black hole | we suggest that their low black hole masses are unlikely to be due to their small angles of inclination to the line of sight |
where galaxies go to die the environments of massive | quiescent | host galaxy | where galaxies go to die the environments of massive quiescent galaxies at 3 z 5 |
to address these challenges a theoretically grounded and computationally efficient proximal linearized | algorithm | gradient descent | to address these challenges a theoretically grounded and computationally efficient proximal linearized algorithm is developed |
this paper introduces a morphology-aware reinforcement | learning | learning agents | this paper introduces a morphology-aware reinforcement learning framework that integrates a graph neural network gnn into the soft actor-critic sac algorithm |
compared to baseline dense models our sparse | classifiers | deep learning | compared to baseline dense models our sparse classifiers reduce training time by up to 10x while the deep r rewiring enables them to perform as well as the original models |
here we demonstrate that such an optical component can be designed using fano | interference | optical interference | here we demonstrate that such an optical component can be designed using fano interference and stark effect in a nonlinear nano-plasmonic system |
while graph-based observability analysis methods exist for power system static-state estimation the approach presented here is the first for dynamic-state | estimation | state estimation | while graph-based observability analysis methods exist for power system static-state estimation the approach presented here is the first for dynamic-state estimation dse |
our first result is a one-sided non-adaptive algorithm for this problem that makes tilde o log n epsilon samples and | queries | query complexity | our first result is a one-sided non-adaptive algorithm for this problem that makes tilde o log n epsilon samples and queries where n f -1 1 is the number of satisfying assignments of the function that is being tested and the value of n is given as an input parameter to the algorithm |
in this paper a novel uncoordinated random access ura protocol is presented to address the pressing demand for massive connectivity with low access latency in future massive machine type | communication | uplink communication | in this paper a novel uncoordinated random access ura protocol is presented to address the pressing demand for massive connectivity with low access latency in future massive machine type communication mmtc scenarios |
variational quantum algorithms vqas face an inherent trade-off between expressivity and trainability deeper circuits can represent richer states but suffer from noise accumulation and barren plateaus while shallow | circuits | fault-tolerant quantum | variational quantum algorithms vqas face an inherent trade-off between expressivity and trainability deeper circuits can represent richer states but suffer from noise accumulation and barren plateaus while shallow circuits remain trainable and implementable but lack expressive power |
this approach is particularly relevant for predicting the emergence of paradoxical neural representations such as discordant visual illusions that occur in response to overt | sensory | artificial neural | this approach is particularly relevant for predicting the emergence of paradoxical neural representations such as discordant visual illusions that occur in response to overt sensory stimuli |
human feedback can alter language models in unpredictable and undesirable ways as practitioners lack a clear | understanding | language agents | human feedback can alter language models in unpredictable and undesirable ways as practitioners lack a clear understanding of what feedback data encodes |
this work provides a scalable framework for task-specific | pre-training | predictive processing | this work provides a scalable framework for task-specific pre-training and highlights its benefit in generalizable affective computing |
furthermore for specific pairs of models and | riesz | riesz regression | furthermore for specific pairs of models and riesz representer estimation methods we can automatically obtain the covariate balancing property without explicitly solving the covariate balancing objective |
based on these results we derive nn matching from | riesz | riesz regression | based on these results we derive nn matching from riesz regression |
extensive experiments on both synthetic and real-world | datasets | real-world datasets | extensive experiments on both synthetic and real-world datasets demonstrate the superior performance of our algorithms particularly in complex environments |
this method results in efficient calculations of individual | signal | signal processing | this method results in efficient calculations of individual signal and distortion components |
we show that this version is np-hard even when both structures the food web and the | phylogenetic | phylogenetic tree | we show that this version is np-hard even when both structures the food web and the phylogenetic tree are stars |
here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into | stars | massive galaxies | here we show that lyman- alpha ly alpha radiation pressure limits the gas mass converted into stars particularly in primordial environments |
more broadly we argue that considering scale and incorporating human-natural system feedbacks are not just interesting special cases within non-cooperative | game | game theory | more broadly we argue that considering scale and incorporating human-natural system feedbacks are not just interesting special cases within non-cooperative game theory but rather should be the starting point for the study of altruism and human cooperation |
moreover we show that a poly-logarithmic approximation ratio and hence an approximation | ratio | approximation factor | moreover we show that a poly-logarithmic approximation ratio and hence an approximation ratio below the adaptivity gap can be achieved by a randomized algorithm with quasi-polynomial running time |
simulation results demonstrate that the proposed approach significantly outperforms some baseline approaches and other state-of-the-art deep | reinforcement | deep reinforcement learning | simulation results demonstrate that the proposed approach significantly outperforms some baseline approaches and other state-of-the-art deep reinforcement learning algorithms |
specifically we propose a thinking protocol where an organizer dynamically assigns sub-queries to workers merges intermediate | knowledge | reasoning capabilities | specifically we propose a thinking protocol where an organizer dynamically assigns sub-queries to workers merges intermediate knowledge and produces coherent solutions |
conditions under which gonosomic algebras are not gonosomal and several algebraic constructions of gonosomic | algebras | gonosomic algebras | conditions under which gonosomic algebras are not gonosomal and several algebraic constructions of gonosomic algebras are given |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.