Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Engineering
Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
9999+개의 결과
Excess risk bounds for multitask learning with trace norm regularization
Andreas Maurer, Massimiliano Pontil
arXiv (Cornell University)
|
2012
|
18 회 인용
Exchange of Renewable Energy among Prosumers using Blockchain with Dynamic Pricing
Arnob Ghosh, Vaneet Aggarwal 외 1명
arXiv (Cornell University)
|
2018
|
18 회 인용
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
Garvita Agarwal, L. Hay 외 6명
arXiv (Cornell University)
|
2020
|
18 회 인용
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang, Xing Hu 외 6명
arXiv (Cornell University)
|
2020
|
18 회 인용
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models
Sarah Zhang, Samuel Florin 외 13명
arXiv (Cornell University)
|
2023
|
18 회 인용
Facies classification from well logs using an inception convolutional network
Valentin Tschannen, Matthias Delescluse 외 2명
arXiv (Cornell University)
|
2017
|
18 회 인용
Factorization Constraints on Jet Substructure
Jonathan R. Walsh, Saba Zuberi
arXiv (Cornell University)
|
2011
|
18 회 인용
Fast and deep: energy-efficient neuromorphic learning with first-spike times
Julian Göltz, Laura Kriener 외 10명
arXiv (Cornell University)
|
2019
|
18 회 인용
Fast and stable randomized low-rank matrix approximation
Yuji Nakatsukasa
arXiv (Cornell University)
|
2020
|
18 회 인용
Feasibility Study for a Next-Generation Mu2e Experiment
K. Knoepfel, Pronskikh, V. 외 22명
arXiv (Cornell University)
|
2013
|
18 회 인용
425
426
427
428
429
