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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 to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal, Ashvin Nair, +3
arXiv (Cornell University)
|
2016
|
130 citations
Modeling refractory high-entropy alloys with efficient machine-learned interatomic potentials: defects and segregation
Jesper Byggmästar, K. Nordlund, +1
arXiv (Cornell University)
|
2021
|
130 citations
Pseudo-potentials and loading surfaces for an endochronic plasticity theory with isotropic damage
Silvano Erlicher, Oreste S. Bursi
ArXiv.org
|
2009
|
130 citations
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn Stollenga, Jonathan Masci, +2
arXiv (Cornell University)
|
2014
|
129 citations
Sketch-based 3D Shape Retrieval using Convolutional Neural Networks
Fang Wang, Le Kang, +1
arXiv (Cornell University)
|
2015
|
129 citations
The NAO humanoid: a combination of performance and affordability
David Gouaillier, Vincent Hugel, +7
ArXiv.org
|
2008
|
129 citations
Unrolled Optimization with Deep Priors
Steven Diamond, Vincent Sitzmann, +2
arXiv (Cornell University)
|
2017
|
128 citations
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, +1
arXiv (Cornell University)
|
2019
|
127 citations
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Göltz, Laura Kriener, +10
arXiv (Cornell University)
|
2019
|
127 citations
Hydrogen Peroxide Formation Rates in a PEMFC Anode and Cathode: Effect of Humidity and Temperature
Vijay A. Sethuraman, John W. Weidner, +3
Scholar Commons (University of South Carolina)
|
2020
|
127 citations
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