Robuta

https://www.sri.com/publication/a-computationally-efficient-collision-early-warning-system-for-vehiclespedestrians-and-bicyclists/ A computationally-efficient collision early warning system for vehicles,pedestrians and bicyclists... Mar 28, 2024 - This paper describes the computational architecture of a collision early warning system for vehicles and pedestrians. early warning systemcomputationally efficient https://www.kth.se/om/upptack/kalender/computationally-efficient-and-adaptive-energy-management-strategies-for-parallel-hybrid-electric-vehicles-1.1252927?date=2023-05-31&orgdate=2023-05-16&length=1&orglength=0 Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric... computationally efficientenergy managementparallel hybridadaptive https://www.mdpi.com/1424-8220/22/14/5220 A Computationally Efficient and Virtualization-Free Two-Dimensional DOA Estimation Method for... To address the problem of expensive computation in traditional two-dimensional (2D) direction of arrival (DOA) estimation, in this paper, we propose a 2D DOA... computationally efficient https://openreview.net/forum?id=hyfe5q5TD0 Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics |... We study computationally and statistically efficient Reinforcement Learning algorithms for the *linear Bellman Complete* setting. This setting uses linear... computationally efficientrllinearbellmancompleteness https://www.kth.se/om/upptack/kalender/computationally-efficient-and-adaptive-energy-management-strategies-for-parallel-hybrid-electric-vehicles-1.1252927?date=2023-05-31&orgdate=2023-05-26&length=1&orglength=0 Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric... computationally efficientenergy managementparallel hybridadaptive https://www.kth.se/om/upptack/kalender/disputationer/computationally-efficient-and-adaptive-energy-management-strategies-for-parallel-hybrid-electric-vehicles-1.1252927 Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric... computationally efficientenergy managementparallel hybridadaptive https://aclanthology.org/2020.findings-emnlp.166/ Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers - ACL Anthology Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore. Findings of the Association for Computational Linguistics: EMNLP 2020.... named entity recognitioncomputationally efficientconstraineddecoding https://openreview.net/forum?id=BopG5dhH7L&referrer=%5Bthe%20profile%20of%20Fnu%20Devvrit%5D(%2Fprofile%3Fid%3D~Fnu_Devvrit1) A Computationally Efficient Sparsified Online Newton Method | OpenReview Second-order methods hold significant promise for enhancing the convergence of deep neural network training; however, their large memory and computational... computationally efficientnewton methodonlineopenreview https://deepai.org/publication/making-sensitivity-analysis-computationally-efficient Making Sensitivity Analysis Computationally Efficient | DeepAI Jan 16, 2013 - 01/16/13 - To investigate the robustness of the output probabilities of a Bayesian network, a sensitivity analysis can be performed. A one-wa... sensitivity analysiscomputationally efficientmakingdeepai https://pmc.ncbi.nlm.nih.gov/articles/PMC11825888/ Computationally Efficient IMplicit Training Strategy for UNrolled NEtworks (IMUNNE): A preliminary... Highly-undersampled, dynamic MRI reconstruction, particularly in multi-coil scenarios, is a challenging inverse problem. Unrolled networks achieve... computationally efficienttraining strategyimplicit https://deepai.org/publication/a-private-and-computationally-efficient-estimator-for-unbounded-gaussians A Private and Computationally-Efficient Estimator for Unbounded Gaussians | DeepAI Nov 8, 2021 - 11/08/21 - We give the first polynomial-time, polynomial-sample, differentially private estimator for the mean and covariance of an arbitrary... computationally efficientprivateestimatorunboundeddeepai https://www.oulu.fi/en/theses/discretisation-invariant-and-computationally-efficient-correlation-priors-bayesian-inversion Discretisation-invariant and computationally efficient correlation priors for Bayesian inversion |... computationally efficientdiscretisationinvariantcorrelationpriors https://www.usgs.gov/publications/computationally-efficient-statistical-differential-equation-modeling-using Computationally efficient statistical differential equation modeling using homogenization | U.S.... Statistical models using partial differential equations (PDEs) to describe dynamically evolving natural systems are appearing in the scientific literature with... computationally efficientdifferential equationstatisticalmodelingusing https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2016.00030/full Frontiers | A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular... The aim of the present paper is to efficiently describe the membrane potential dynamics of neural populations formed by species having a high density differe... hybrid modelfor the https://aclanthology.org/2021.sustainlp-1.7/ Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering -... Georgios Sidiropoulos, Nikos Voskarides, Svitlana Vakulenko, Evangelos Kanoulas. Proceedings of the Second Workshop on Simple and Efficient Natural Language... https://www.umassd.edu/research/research-awards/computationally-and-energy-efficient-mixed-precision-and-mixed-model-numerical-methods-1.html Research Awards: Computationally and Energy Efficient Mixed Precision and Mixed-model Numerical... $ 130,113 awarded, sponsored by U.S. Department of the Air Force research awardsenergy efficientmixed precisionmodelnumerical