Shallow vs. deep sum-product networks
Delalleau, O. and Bengio, Y · 2011
Cited alongside, same era.
Multi column deep neural network for traffic sign classification
Ciresan, D., Meier, U., Masci, J., and Schmidhuber, J · 2012
Cited alongside, same era.
Deep neural networks for acoustic modeling in speech recognition
Hinton, G., Deng, L., Dahl, G., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., and Kingsbury, B · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
Cited alongside, same era.
Maxout networks
Goodfellow, I., Warde-Farley, D., Mirza, M., Courville, A., and Bengio, Y · 2013
Cited alongside, same era.
On the complexity of neural network classifiers: A comparison between shallow and deep architectures
Bianchini, M. and Scarselli, F · 2014
Cited alongside, same era.
On the number of linear regions of deep neural networks
Montúfar, G., Pascanu, R., Cho, K., and Bengio, Y · 2014
Cited alongside, same era.
On the number of response regions of deep feedforward networks with piecewise linear activations
Pascanu, R., Montúfar, G., and Bengio, Y · 2014
Cited alongside, same era.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A · 2015
Cited alongside, same era.
Solution d’une question particuliére du calcul des inégalités
Fourier, J
Cited in the paper.
Methodus Differentialis sive Tractatus de Summatione et Interpolatione Serierum Infinitarum
Stirling, J
Cited in the paper.