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Data-Driven Evaluation of Training Action Space for Reinforcement Learning

Apr 08, 2022
Rajat Ghosh, Debojyoti Dutta

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Event-aided Direct Sparse Odometry

Apr 24, 2022
Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza

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Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition

Apr 07, 2022
Aybue Erol, Chagajeg Soloukey, Bastian Generowicz, Nikki Van Dorp, Sebastiaan Koekkoek, Pieter Kruizinga, Borbala Hunyadi

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BARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

Mar 26, 2022
Zemin Sun

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A Self-aware Personal Assistant for Making Personalized Privacy Decisions

May 13, 2022
Gonul Ayci, Murat Sensoy, Arzucan ÖzgÜr, Pinar Yolum

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Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection

May 01, 2022
Akshat Goel, Denise Gorse

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Large-time asymptotics in deep learning

Aug 06, 2020
Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua

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Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting

Feb 01, 2021
Fan-Keng Sun, Christopher I. Lang, Duane S. Boning

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Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and Hybrid Beamforming

May 13, 2022
Abbas Akbarpour-Kasgari, Mehrdad Ardebilipour

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Bounding the Effects of Continuous Treatments for Hidden Confounders

Apr 24, 2022
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

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