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https://deepai.org/publication/compressive-hyperspectral-imaging-via-adaptive-sampling-and-dictionary-learning Compressive hyperspectral imaging via adaptive sampling and dictionary learning | DeepAI Dec 2, 2015 - 12/02/15 - In this paper, we propose a new sampling strategy for hyperspectral signals that is based on dictionary learning and singular valu... hyperspectral imaging adaptive sampling dictionary learning compressive via https://openreview.net/forum?id=hq2CkcEY7h Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics |... Recently, physics-informed neural networks (PINNs) have gained attention in the scientific community for their potential to solve partial differential... adaptive sampling https://deepai.org/publication/ascai-adaptive-sampling-for-acquiring-compact-ai ASCAI: Adaptive Sampling for acquiring Compact AI | DeepAI Nov 15, 2019 - 11/15/19 - This paper introduces ASCAI, a novel adaptive sampling methodology that can learn how to effectively compress Deep Neural Networks... adaptive sampling acquiring compact ai https://www.wolfram.com/mathematica/newin6/content/HighImpactAdaptiveVisualization/AdaptiveSamplingOfSurfaces.html Adaptive Sampling of Surfaces adaptive sampling surfaces https://openreview.net/forum?id=gEwKAZZmSw Efficient Backpropagation with Variance Controlled Adaptive Sampling | OpenReview Sampling-based algorithms, which eliminate "unimportant" computations during forward and/or backpropagation (BP), offer potential solutions to accelerate... adaptive sampling efficient backpropagation variance controlled https://jmlr.org/papers/v11/gorissen10a.html A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design adaptive sampling surrogate modeling https://openreview.net/forum?id=oAmIeVMECNB LAST: Latent Space Assisted Adaptive Sampling for Protein Trajectories | OpenReview We proposed an adaptive sampling method with variational autoencoder to accelerate the exploration of protein conformational space. latent space adaptive sampling last assisted protein https://openreview.net/forum?id=XsNA2b8GPz Adaptive Sampling for Efficient Softmax Approximation | OpenReview The softmax function is ubiquitous in machine learning and optimization applications. Computing the full softmax evaluation of a matrix-vector product can be... adaptive sampling efficient softmax approximation openreview https://openreview.net/forum?id=4VAF3d5jNg Adaptive Selective Sampling for Online Prediction with Experts | OpenReview We consider online prediction of a binary sequence with expert advice. For this setting, we devise label-efficient forecasting algorithms, which use a... adaptive selective sampling online prediction https://www.kth.se/om/upptack/kalender/optimizing-ocean-feature-estimation-and-tracking-through-adaptive-sampling-and-formation-control-of-autonomous-underwater-vehicles-1.1276885 Optimizing Ocean Feature Estimation and Tracking through Adaptive Sampling and Formation Control of... https://elifesciences.org/reviewed-preprints/98648v1 Sub-cone visual resolution by active, adaptive sampling in the human foveola https://openreview.net/forum?id=L7gQWBcFxK&invitationId=ICLR.cc/2024/Conference/Submission3630/-/Rebuttal_Revision&referrer=%5BTasks%5D(%2Ftasks) Efficient Gradient Estimation via Adaptive and Importance Sampling | OpenReview Classification tasks in machine learning heavily depend on stochastic gradient descent~(SGD) for optimization. The efficiency of SGD hinges on accurate... importance sampling efficient gradient estimation via https://www.sintef.no/en/publications/publication/0198cc555053-7ed3aac9-68e5-45a6-aa59-2481bf1fb837/ Efficient 3D real-time adaptive AUV sampling of a river plume front - SINTEF https://www.sintef.no/en/publications/publication/0198cc5f70bc-5304b087-91f4-4ff6-b112-bd3ef4127e4a/ Adaptive ocean sampling using surrogate models with spatially varying anisotropy in three... https://openreview.net/forum?id=M_WuaKoaEfQ A Quadrature Rule combining Control Variates and Adaptive Importance Sampling | OpenReview Driven by several successful applications such as in stochastic gradient descent or in Bayesian computation, control variates have become a major tool for... quadrature rule control variates importance sampling combining https://openreview.net/forum?id=9P02CcVkGU Adaptive Algorithms for Continuous-Time Transport: Homotopy-Driven Sampling and a New Interacting... We propose a new dynamic algorithm which transports samples from a reference distribution to a target distribution in unit time, given access to the... https://deepai.org/publication/on-exploration-exploitation-and-learning-in-adaptive-importance-sampling On Exploration, Exploitation and Learning in Adaptive Importance Sampling | DeepAI Oct 31, 2018 - 10/31/18 - We study adaptive importance sampling (AIS) as an online learning problem and argue for the importance of the trade-off between ex... importance sampling exploration exploitation learning adaptive https://www.tableau.com/fr-fr/research/publications/adaptive-threshold-sampling Adaptive Threshold Sampling adaptive threshold sampling https://openreview.net/forum?id=Hk8zZjRLf LSH-SAMPLING BREAKS THE COMPUTATIONAL CHICKEN-AND-EGG LOOP IN ADAPTIVE STOCHASTIC GRADIENT... We improve the running of all existing gradient descent algorithms. chicken and egg https://openreview.net/forum?id=Z1J7LJGDxH&referrer=%5BProgram%20Chair%20Console%5D%28%2Fgroup%3Fid%3DICML.cc%2F2025%2FWorkshop%2FWorld_Models%2FProgram_Chairs%23submission-status%29 APOD: Adaptive PDE-Observation Diffusion for Physics-Constrained Sampling | OpenReview In many parametric PDE problems, partial or noisy observations pose a serious challenge for building robust world models that also respect physical... apod adaptive pde observation diffusion https://www.rti.org/publication/adaptive-time-location-sampling-compass-sars-cov-2-prevalence-study-fifteen-diverse-communities-unit Adaptive time location sampling for COMPASS | RTI BACKGROUND: COVID-19 has placed a disproportionate burden on underserved racial and ethnic groups, community members working in essential industries, those... time location adaptive sampling compass rti https://arxiv.org/html/2603.20959v2 Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation importance sampling surrogate guided adaptive failure https://openreview.net/forum?id=h2uBuQvpp8 Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction | OpenReview Magnetic Resonance (MR) imaging, despite its proven diagnostic utility, remains an inaccessible imaging modality for disease surveillance at the population... https://www.rti.org/publication/respondent-driven-sampling-online-recruitment-and-adaptive-follow-ups Respondent driven sampling with online recruitment and adaptive follow-ups | RTI respondent driven sampling online recruitment follow ups https://grafana.com/blog/capture-high-value-traces-without-managing-a-pipeline-tail-sampling-with-adaptive-traces/?pg=traces&plcmt=resources-3 Capture high-value traces without managing a pipeline: Tail sampling with Adaptive Traces | Grafana... Adaptive Traces brings tail sampling into Grafana Cloud as a fully managed capability, allowing you to capture high-value traces and control spend without... https://deepai.org/publication/adaptive-image-sampling-using-deep-learning-and-its-application-on-x-ray-fluorescence-image-reconstruction Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image... Dec 27, 2018 - 12/27/18 - This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). The adaptive sampling mask generation networ... https://jmlr.org/papers/v14/wang13c.html Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling matrix decomposition improving cur https://deepai.org/publication/adaptive-importance-sampling-meets-mirror-descent-a-bias-variance-tradeoff Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff | DeepAI Oct 29, 2021 - 10/29/21 - Adaptive importance sampling is a widely spread Monte Carlo technique that uses a re-weighting strategy to iteratively estimate th... bias variance tradeoff importance sampling mirror descent adaptive meets https://arxiv.org/abs/2504.12949v1 [2504.12949v1] RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of... Abstract page for arXiv paper 2504.12949v1: RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs https://grafana.com/blog/capture-high-value-traces-without-managing-a-pipeline-tail-sampling-with-adaptive-traces/ Capture high-value traces without managing a pipeline: Tail sampling with Adaptive Traces | Grafana... Adaptive Traces brings tail sampling into Grafana Cloud as a fully managed capability, allowing you to capture high-value traces and control spend without... https://www.inderscience.com/info/inarticle.php?artid=26181 Article: Intelligent sampling-based adaptive space-mapping response surface method for sheet metal... Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,... https://openreview.net/forum?id=p2P5ZWoIBQ Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits | OpenReview adaptive threshold sampling pure exploration submodular https://deepai.org/publication/efficient-human-vision-inspired-action-recognition-using-adaptive-spatiotemporal-sampling Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling | DeepAI Jul 12, 2022 - 07/12/22 - Adaptive sampling that exploits the spatiotemporal redundancy in videos is critical for always-on action recognition on wearable d... human vision action recognition efficient inspired https://arxiv.org/abs/2603.20959 [2603.20959] Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation Abstract page for arXiv paper 2603.20959: Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation importance sampling 2603 20959 surrogate guided