prompt stringlengths 41 511 | target stringlengths 1 25 | keyword stringclasses 697
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i develop a nonparametric framework for identifying | spatial | dynamic spatial | i develop a nonparametric framework for identifying spatial boundaries of treatment effects without imposing parametric functional form restrictions |
while deep optics with elements like does can encode depth they introduce trade-offs in fabrication complexity and | chromatic | optical properties | while deep optics with elements like does can encode depth they introduce trade-offs in fabrication complexity and chromatic aberrations compromising simplicity |
as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur | photonic | integrated photonics | as an alternative to established hole-based photonic crystal cavities we introduce corrugated triangular dinosaur photonic crystal cavities and develop a tapered quasi loss-free cavity-waveguide interface to adiabatically interconvert bloch and waveguide modes |
we describe how we adapt the applied soft actor-critic | learning | deep reinforcement learning | we describe how we adapt the applied soft actor-critic learning algorithm to the problem of downlink satellite beamforming and show numerically that the resulting precoding algorithm adjusts to all investigated scenarios |
a new neural network paradigm for scalable and generalizable | stability | neural network | a new neural network paradigm for scalable and generalizable stability analysis of power systems |
exploring liveability profiles and active | travel | travel information | exploring liveability profiles and active travel patterns in london |
however current watermarking solutions hardly resolve the trust issue the non-public watermark | detection | watermarking schemes | however current watermarking solutions hardly resolve the trust issue the non-public watermark detection cannot prove itself faithfully conducting the detection |
we find that despite surfacing errors different | language | large language | we find that despite surfacing errors different language models learn interchangeable representations of numbers that are systematic highly accurate and universal across their hidden states and the types of input contexts |
difference-in-differences analysis reveals this structural change was driven by regulatory-induced deleveraging of systemically important banks which experienced | differential | european banking | difference-in-differences analysis reveals this structural change was driven by regulatory-induced deleveraging of systemically important banks which experienced differential asset reductions of 17 relative to smaller institutions |
specifically we employ a set of variational autoencoder architectures to embed item | values | generative models | specifically we employ a set of variational autoencoder architectures to embed item values into a shared latent space for each time point |
we find that this compressibility is strikingly consistent across different individuals and | cognitive | human cognition | we find that this compressibility is strikingly consistent across different individuals and cognitive tasks and that counterintuitively the most important correlations are not necessarily the strongest |
specifically it optimizes not only for the estimated objective value but also for the chances that the policy will be statistically significantly better than the observational | policy | policy evaluation | specifically it optimizes not only for the estimated objective value but also for the chances that the policy will be statistically significantly better than the observational policy used to collect data |
deviations from the classical description due to the quantum nature of the atomic spins as well as | quantum | quantum technologies | deviations from the classical description due to the quantum nature of the atomic spins as well as quantum fluctuations are usually treated as negligible if long-range order is preserved and are rarely quantified for actual materials |
we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ mathrm sfr and specific | sfr | star formation rates | we analyse 19 spiral disks from the cosmological rtnscrimhd azahar suite deriving line-of-sight integrated maps to measure median magnetic-field strength b specific energies thermal turbulent magnetic and cosmic-ray and star formation rate sfr star formation surface density sigma_ mathrm sfr and specific sfr ssfr |
to evaluate the system-level performance of nonlinear sis we present a case study where sis structures are optimized to minimize the symbol error rate ser in an mimo system with | sis | communication systems | to evaluate the system-level performance of nonlinear sis we present a case study where sis structures are optimized to minimize the symbol error rate ser in an mimo system with sis deployed at both the transmitter and receiver sides using only statistical channel information |
our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium | abundance | massive stars | our solutions assume a constant star formation efficiency a constant mass-loading factor and that the yields are linearly dependent on the interstellar medium abundance with the option of a saturation of the yields at high metallicity |
intercalation with various metal species preserves the | phonon | phonon polaritons | intercalation with various metal species preserves the phonon polariton lifetimes while modulating the dielectric permittivity in agreement with the density functional theory and analytical calculations |
our results herald the use of quantum computing for simulating strongly | correlated | strongly correlated | our results herald the use of quantum computing for simulating strongly correlated electronic systems beyond the capacity of classical computing |
ai agents perform near the floor on rli with the highest-performing | agent | fm agent | ai agents perform near the floor on rli with the highest-performing agent achieving an automation rate of 2 |
both approximation ratios match known upper bounds on the integrality gap of the natural fractional relaxation | improving | approximation ratio | both approximation ratios match known upper bounds on the integrality gap of the natural fractional relaxation improving upon the best-known approximation of 0 |
beam shaping techniques for pulsed laser ablation in | liquids | ablation liquids | beam shaping techniques for pulsed laser ablation in liquids unlocking tunable control of nanoparticle synthesis in liquids |
witnessing genuine multipartite entanglement in phase space with controlled | gaussian | genuine multipartite | witnessing genuine multipartite entanglement in phase space with controlled gaussian unitaries |
second we theoretically analyze the pitfalls of existing evaluation metrics when applied to multiclass | local | local calibration | second we theoretically analyze the pitfalls of existing evaluation metrics when applied to multiclass local calibration |
this is important as reliable navigation around other vehicles is vital for safe autonomous | wheel-to-wheel | wheel-to-wheel racing | this is important as reliable navigation around other vehicles is vital for safe autonomous wheel-to-wheel racing |
importantly we introduce antagonism effect to describe the intensities with which the two camps incite opposition and exert voting pressure in the run-up to the | election | swing voters | importantly we introduce antagonism effect to describe the intensities with which the two camps incite opposition and exert voting pressure in the run-up to the election typically via us-versus-them framing |
although mean-field approximations are commonly invoked to simplify disease forecasting on networks they fail to account for these correlations by assuming that infectious individuals are well-mixed within a population leading to inaccurate predictions of | infection | infectious individuals | although mean-field approximations are commonly invoked to simplify disease forecasting on networks they fail to account for these correlations by assuming that infectious individuals are well-mixed within a population leading to inaccurate predictions of infection numbers over time |
plugging regression functions estimated by | machine | machine learning | plugging regression functions estimated by machine learning methods into the identifying equations can yield poor performance because of first-stage bias |
numerical studies based on stochastic gradient | descent | gradient descent | numerical studies based on stochastic gradient descent provide empirical backing for our theoretical findings |
x-ray and variability selected agn have higher average star formation | rates | star formation rates | x-ray and variability selected agn have higher average star formation rates than those selected with optical narrow line spectroscopic diagrams |
our main technical building block is a dynamic balanced binary search tree which we call the | compressed | compressed indexing | our main technical building block is a dynamic balanced binary search tree which we call the compressed tabulation-weighted treap that itself achieves a surprising time space tradeoff |
we find that dwarf agn selected by infrared colors are the most distinct | population | dwarf galaxies | we find that dwarf agn selected by infrared colors are the most distinct population with the highest star formation rates and lowest stellar masses |
during exploration lagmemo constructs a unified 3d | language | large language | during exploration lagmemo constructs a unified 3d language memory |
our main technical contribution is a new reduction that converts locally-decodable codes in the low-error regime into multicast | coding | network coding | our main technical contribution is a new reduction that converts locally-decodable codes in the low-error regime into multicast coding instances |
we demonstrate the capabilities of this laser-arpes system by investigating several prototypical materials showcasing its potential for elucidating complex phenomena in | quantum | electronic structure | we demonstrate the capabilities of this laser-arpes system by investigating several prototypical materials showcasing its potential for elucidating complex phenomena in quantum materials |
we develop a unified model that relates these factors to the transverse correlations observed in both near and far-field planes treating both | degenerate | -dtc phases | we develop a unified model that relates these factors to the transverse correlations observed in both near and far-field planes treating both degenerate and non-degenerate type-i spdc processes equally |
focusing on simpler statistical methods we examine the design-based properties of regression-based methods for | estimating | average treatment effect | focusing on simpler statistical methods we examine the design-based properties of regression-based methods for estimating treatment effects in time-series experiments |
we introduce a corrected ola distance index over | ola | ola vectors | we introduce a corrected ola distance index over ola vectors of k trees which is easily computable in linear time |
the intrinsic coupling among electrical conductivity sigma seebeck coefficient s and lattice thermal | conductivity | heat conduction | the intrinsic coupling among electrical conductivity sigma seebeck coefficient s and lattice thermal conductivity kappa_ mathrm l imposes a fundamental limit on the dimensionless figure of merit zt in thermoelectric te materials |
combining spectra from the 17th data release of the sloan digital sky survey sdss with radio fluxes from the 2nd data release of the low frequency array lofar two-meter sky survey lotss we statistically characterise a radio loud and radio quiet population using a two-component gaussian mixture model and perform | population | stellar population | combining spectra from the 17th data release of the sloan digital sky survey sdss with radio fluxes from the 2nd data release of the low frequency array lofar two-meter sky survey lotss we statistically characterise a radio loud and radio quiet population using a two-component gaussian mixture model and perform population matching in black hole mass and eddington fraction |
centi-combs low-noise sub-ghz repetition-rate soliton frequency | combs | frequency combs | centi-combs low-noise sub-ghz repetition-rate soliton frequency combs from crystalline resonators |
however most convergence guarantees rely on restrictive regularity | assumptions | theoretical guarantees | however most convergence guarantees rely on restrictive regularity assumptions on the target distribution -- such as strong log-concavity or bounded support |
reinforcement finetuning rft is a key technique for aligning large language models llms with | human | reinforcement learning | reinforcement finetuning rft is a key technique for aligning large language models llms with human preferences and enhancing reasoning yet its effectiveness is highly sensitive to which tasks are explored during training |
we present results from what we believe to be the first structured survey of physics experts n 20 regarding both the theoretical possibility of | vacuum | vacuum decay | we present results from what we believe to be the first structured survey of physics experts n 20 regarding both the theoretical possibility of vacuum decay and its potential technological inducibility |
we find that sufficiently high levels of noise can reduce the success of | collective | collective action | we find that sufficiently high levels of noise can reduce the success of collective action |
in this paper we systematically evaluate llms reasoning capabilities in the | normative | llm inference | in this paper we systematically evaluate llms reasoning capabilities in the normative domain from both logical and modal perspectives |
we then separately solve a dirichlet problem for laplace s equation to synthesize a safe textit guidance field that encodes variable levels of caution around | obstacles | obstacle avoidance | we then separately solve a dirichlet problem for laplace s equation to synthesize a safe textit guidance field that encodes variable levels of caution around obstacles -- by enforcing a tunable flux boundary condition |
as such the development of mathematical frameworks that account for spatially correlated infections is of great interest as they offer a compromise between accurate | disease | disease transmission | as such the development of mathematical frameworks that account for spatially correlated infections is of great interest as they offer a compromise between accurate disease forecasting and analytic tractability |
to address these issues we propose in-context steered | policy | federated learning | to address these issues we propose in-context steered policy optimization icpo a unified framework that leverages the inherent in-context learning capability of lrms to provide expert guidance using existing datasets |
we investigate the performance of this approach against naive baselines and assess its | robustness | llm inference | we investigate the performance of this approach against naive baselines and assess its robustness through case studies on both human and llm-judges biases |
the operator associated with the underlying partial differential equations pdes is then approximated by a simple multi-layer perceptron mlp which takes as input a | latent | gradient flow | the operator associated with the underlying partial differential equations pdes is then approximated by a simple multi-layer perceptron mlp which takes as input a latent code along with spatiotemporal coordinates to produce the solution in the physical space |
joint inference for the regression discontinuity effect and its | external | external validity | joint inference for the regression discontinuity effect and its external validity |
model-free robust beamforming in satellite downlink using | reinforcement | reinforcement learning | model-free robust beamforming in satellite downlink using reinforcement learning |
the magnetic field lines could be dragged along the | filament | magnetic field | the magnetic field lines could be dragged along the filament as a result of the gas motion induced by the gravitational potential of the filament |
we study the problem of adding native pulse-level control to heterogeneous high performance computing-quantum | computing | quantum algorithm | we study the problem of adding native pulse-level control to heterogeneous high performance computing-quantum computing hpcqc software stacks using the munich quantum software stack mqss as a case study |
reinforcement learning rl offers a data-driven approach to derive control | policies | deep reinforcement | reinforcement learning rl offers a data-driven approach to derive control policies for such challenges |
overall pls-sem provides competitive accuracy with interpretable levers for design and evaluation in | mobile | mobile ar | overall pls-sem provides competitive accuracy with interpretable levers for design and evaluation in mobile ar |
in this letter we propose a parametric channel | estimation | channel state information | in this letter we propose a parametric channel estimation method tailored for active riss |
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 |
here we probe at the single-atom level ultracold | atomic | atom interferometry | here we probe at the single-atom level ultracold atomic fermi gases made of two interacting spin states obtaining direct access to their counting statistics in situ |
a three-dimensional reconstruction of the | interstellar | star-forming region | a three-dimensional reconstruction of the interstellar magnetic field toward a star-forming region |
the localization of magnetic moments is robust even in non-equilateral nanoflake geometries highlighting their intrinsic stability regardless of the | high | magnetic anisotropy | the localization of magnetic moments is robust even in non-equilateral nanoflake geometries highlighting their intrinsic stability regardless of the high symmetry of the hosting structure |
we extend a formal framework that previously derived | time | phylogenetic tree | we extend a formal framework that previously derived time from the multifractal structure of biological lineages hudnall d souza 2025 |
extending the 3dsi model to heterogeneous networks with a community | structure | mobility networks | extending the 3dsi model to heterogeneous networks with a community structure allows us to devise new analytical formulas for e |
in this work we aim to explain this conflict by exploring how | language | large language models llms | in this work we aim to explain this conflict by exploring how language models manipulate numbers and quantify the lower bounds of accuracy of these mechanisms |
this paper proposes a coherence-aware communication-efficient framework for joint channel training and model updating in practical | wireless | wireless systems | this paper proposes a coherence-aware communication-efficient framework for joint channel training and model updating in practical wireless fl systems operating under heterogeneous fading dynamics |
this involves jointly optimizing active beamforming power allocation receiving filters and ma position configurations which is a highly | non-convex | optimization problem | this involves jointly optimizing active beamforming power allocation receiving filters and ma position configurations which is a highly non-convex problem |
these individuals contribute to the spread of the | epidemic | disease transmission | these individuals contribute to the spread of the epidemic and pose a significant challenge to public health policies |
occupations generated by four large language | models | large language | occupations generated by four large language models with different ai safety commitments and countries of origin u |
we study the online multi-class selection problem with group fairness | guarantees | online algorithm | we study the online multi-class selection problem with group fairness guarantees where limited resources must be allocated to sequentially arriving agents |
this algorithm is deterministic and does not need to know the | metric | online algorithm | this algorithm is deterministic and does not need to know the metric space or m in advance |
in the limited cases where ground truth is available through exact classical | simulation | classical simulation | in the limited cases where ground truth is available through exact classical simulation we find that it agrees with the results we obtain from the quantum device |
shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from jwst | nirspec | galactic disk | shock-driven heating in the circumnuclear star-forming regions of ngc 7582 insights from jwst nirspec and miri mrs spectroscopy |
we apply inputdsa on recurrent neural networks | rnns | recurrent neural | we apply inputdsa on recurrent neural networks rnns trained with deep reinforcement learning identifying that high-performing networks are dynamically similar to one another while low-performing networks are more diverse |
this paper considers the problem of regression over distributions which is becoming increasingly important in | machine | support vector machines | this paper considers the problem of regression over distributions which is becoming increasingly important in machine learning |
the quality and completeness of light curves have a direct impact on variability studies particularly for faint | agns | light curves | the quality and completeness of light curves have a direct impact on variability studies particularly for faint agns and high-redshift agns |
we learn visual features by captioning images with an image-conditioned masked diffusion | language | vision-language models vlms | we learn visual features by captioning images with an image-conditioned masked diffusion language model a formulation we call masked diffusion captioning mdc |
sample-efficient and scalable exploration in | continuous-time | reinforcement learning | sample-efficient and scalable exploration in continuous-time rl |
notably under a similar performance guarantee as in our tree | embedding | -errata trees | notably under a similar performance guarantee as in our tree embedding algorithms i |
however the convergence behavior of the relative-type inexact variant remains | insufficiently | local convergence | however the convergence behavior of the relative-type inexact variant remains insufficiently understood |
predictive coding enhances meta-rl to achieve | interpretable | predictive processing | predictive coding enhances meta-rl to achieve interpretable bayes-optimal belief representation under partial observability |
we release gaperon a fully open suite of french-english-coding language models designed to advance | transparency | open-source models | we release gaperon a fully open suite of french-english-coding language models designed to advance transparency and reproducibility in large-scale model training |
yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual | reasoning | vision-language models | yet an important question still remains are video models ready to serve as zero-shot reasoners in challenging visual reasoning scenarios |
to address these limitations we propose adaptive vmc with large language model llm - and lyapunov-based | reinforcement | reinforcement learning | to address these limitations we propose adaptive vmc with large language model llm - and lyapunov-based reinforcement learning rl which preserves the physical interpretability of vmc while supporting stability-guaranteed online adaptation |
imports of green intermediates can lower costs while preserving jobs and production whereas | broad | green finance | imports of green intermediates can lower costs while preserving jobs and production whereas broad subsidies are economically unsustainable |
this allows us to create universal probes for each | llm | models llms | this allows us to create universal probes for each llm and to trace information -- including the causes of output errors -- to specific layers |
our findings introduce a new paradigm in integrated | photonics | photonic devices | our findings introduce a new paradigm in integrated photonics paving the way for ultracompact modulators and highly tunable on-chip communication systems with reduced power consumption |
2 we prove conditional lower bounds for pattern matching over 2d-grammar | compressed | compressed indexing | 2 we prove conditional lower bounds for pattern matching over 2d-grammar compressed strings |
heterogeneous graph neural networks hgnns have emerged as a promising paradigm for | anomaly | graph neural | heterogeneous graph neural networks hgnns have emerged as a promising paradigm for anomaly detection by incorporating type-aware transformations and relation-sensitive aggregation enabling more expressive modeling of complex cyber data |
previous work showed that the average entanglement growth after a quantum quench can be explained in terms of pairs of | entangled | multipartite entanglement | previous work showed that the average entanglement growth after a quantum quench can be explained in terms of pairs of entangled quasiparticles performing random walks leading to diffusive entanglement spreading |
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 | quantum algorithm | 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 |
darts a drone-based ai-powered real-time traffic incident | detection | incident detection | darts a drone-based ai-powered real-time traffic incident detection system |
spatial structure can play an important role in the evolution of cooperative behavior and the achievement of | collective | collective systems | spatial structure can play an important role in the evolution of cooperative behavior and the achievement of collective success of a population |
self-localization based on a camera often uses a convolutional neural | network | object detection | self-localization based on a camera often uses a convolutional neural network cnn that can extract local features that are calculated by nearby pixels |
momentum-resolved reflectivity of a 2d photonic | crystal | photonic crystal | momentum-resolved reflectivity of a 2d photonic crystal in the near-infrared |
a minimal quantitative model of perceptual | suppression | visual stimuli | a minimal quantitative model of perceptual suppression and breakthrough in visual rivalry |
despite significant advances in multimodal large language models mllms understanding complex | temporal | temporal understanding | despite significant advances in multimodal large language models mllms understanding complex temporal dynamics in videos remains a major challenge |
arp 220 w reveals a b-field parallel to the red- and blueshifted outflows in both the dust and emission | line | emission line | arp 220 w reveals a b-field parallel to the red- and blueshifted outflows in both the dust and emission line polarization maps |
our study contributes to the scheduling and combinatorial optimization literature with new heuristics discovered by leveraging the power of large | language | large language | our study contributes to the scheduling and combinatorial optimization literature with new heuristics discovered by leveraging the power of large language models llms |
distributional evaluation of generative models via relative | density | density-ratio estimation | distributional evaluation of generative models via relative density ratio |
reinforcement learning rl is widely used to produce robust robotic manipulation policies but fine-tuning vision-language-action vla | models | vision-language-action vla | reinforcement learning rl is widely used to produce robust robotic manipulation policies but fine-tuning vision-language-action vla models with rl can be unstable due to inaccurate value estimates and sparse supervision at intermediate steps |
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