- Aug 2024
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www.researchgate.net www.researchgate.net
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"Correlational neural networks" - looking at learning from multiple perspectives of the same thing to increase representation learning.
@article{chandar2016neuralcompjour, author = {Chandar, Sarath and Khapra, Mitesh M and Larochelle, Hugo and Ravindran, Balaraman}, date-added = {2024-08-01 10:47:30 -0400}, date-modified = {2024-08-01 10:50:01 -0400}, journal = {Neural Computation}, keywords = {correlation-learning, machine-learning, inductive-bias, autoencoders}, number = {2}, pages = {257--285}, pdf = {https://www.researchgate.net/profile/Balaraman-Ravindran/publication/275588055_Correlational_Neural_Networks/links/55ed84d308ae21d099c75c00/Correlational-Neural-Networks.pdf}, publisher = {MIT Press}, title = {Correlational neural networks}, venue-short = {NeuralCompJour}, volume = {28}, year = {2016}}
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- Jul 2021
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osf.io osf.io
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Gonnet, G., Stewart, J., Lafleur, J., Keith, S., McLellan, M., Jiang-Gorsline, D., & Snider, T. (2021). Analysis of feature influence on Covid-19 Death Rate Per Country Using a Novel Orthogonalization Technique. MetaArXiv. https://doi.org/10.31222/osf.io/4kw2n
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- Aug 2020
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www.nber.org www.nber.org
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Augenblick, N., Kolstad, J. T., Obermeyer, Z., & Wang, A. (2020). Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning (Working Paper No. 27457; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27457
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