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Engineering Paper Reviews
AI-generated reviews of key Engineering papers, structured into motivation, method, and results.
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9999+ results
Learning and Transfer of Modulated Locomotor Controllers
Nicolas Heess, Gregory Wayne, +4
arXiv (Cornell University)
|
2016
|
105 citations
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li, Jiajun Wu, +3
arXiv (Cornell University)
|
2018
|
105 citations
Machine learning based hyperspectral image analysis: A survey
Utsav B. Gewali, Sildomar T. Monteiro, +1
arXiv (Cornell University)
|
2018
|
105 citations
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, +1
arXiv (Cornell University)
|
2017
|
105 citations
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, +70
arXiv (Cornell University)
|
2021
|
105 citations
NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
Kyle Gao, Yina Gao, +4
ArXiv.org
|
2022
|
105 citations
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis, Sebastian Cammerer, +5
arXiv (Cornell University)
|
2022
|
105 citations
Algorithmic linear dimension reduction in the l_1 norm for sparse vectors
Anna C. Gilbert, Martin J. Strauss, +2
ArXiv.org
|
2006
|
104 citations
Distributed optimization of deeply nested systems
Miguel Á. Carreira-Perpiñán, Weiran Wang
arXiv (Cornell University)
|
2012
|
104 citations
Millimeter Wave and Terahertz Urban Microcell Propagation Measurements and Models
Yunchou Xing, Theodore S. Rappaport
arXiv (Cornell University)
|
2021
|
104 citations
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