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20132026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 2.7k cited

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain +9

Uncertainty quantification (UQ) plays a pivotal role in reduction of uncertainties during both optimization and decision making processes. It can be applied to solve a variety of r…

math.NA2020★ 36 cited

Taylor-series expansion based numerical methods: a primer, performance benchmarking and new approaches for problems with non-smooth solutions

Thibault Jacquemin, Satyendra Tomar, Konstantinos Agathos +2

We provide a primer to numerical methods based on Taylor series expansions such as generalized finite difference methods and collocation methods. We provide a detailed benchmarking…

astro-ph.GA2020★ 6 cited

Searching for Balmer-dominated Type Ia Supernova Remnants in M33

Chris Ding-Jyun Lin, You-Hua Chu, Po-Sheng Ou +1

We have searched for Balmer-dominated Type Ia SNRs in M33 by selecting thermal X-ray sources with ergs s, identifying associated H emission…

eess.SP2020

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

Furqan Jameel, Wali Ullah Khan, Neeraj Kumar +1

The research efforts on cellular vehicle-to-everything (V2X) communications are gaining momentum with each passing year. It is considered as a paradigm-altering approach to connect…

cs.LG2020★ 36 cited

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi +12

Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) techniques…