Overcoming catastrophic forgetting in neural networks J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017
7208 2017 Progressive neural networks AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
2884 2016 Theano: a CPU and GPU math expression compiler J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proceedings of the Python for scientific computing conference (SciPy) 4 (3), 1-7, 2010
2019 2010 Understanding disentangling in CP Burgess, I Higgins, A Pal, L Matthey, N Watters, G Desjardins, ...
arXiv preprint arXiv:1804.03599, 2018
1157 2018 Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
1042 2023 Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
917 2016 Theano: A CPU and GPU Math Compiler in Python. J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
SciPy, 18-24, 2010
853 2010 Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
773 2015 Combining modality specific deep neural networks for emotion recognition in video SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
433 2013 Theano: Deep learning on gpus with python J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ...
NIPS 2011, BigLearning Workshop, Granada, Spain 3 (0), 2011
362 2011 Unsupervised and transfer learning challenge: a deep learning approach G Mesnil, Y Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ...
Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012
288 2012 Natural neural networks G Desjardins, K Simonyan, R Pascanu
Advances in neural information processing systems 28, 2015
222 2015 Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
212 2016 Tempered Markov chain Monte Carlo for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau
Proceedings of the thirteenth international conference on artificial …, 2010
150 2010 Disentangling factors of variation via generative entangling G Desjardins, A Courville, Y Bengio
arXiv preprint arXiv:1210.5474, 2012
123 2012 Parallel tempering for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau
Proceedings of the thirteenth international conference on artificial …, 2010
120 2010 Information asymmetry in KL-regularized RL A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ...
arXiv preprint arXiv:1905.01240, 2019
104 2019 Quadratic polynomials learn better image features J Bergstra, G Desjardins, P Lamblin, Y Bengio
Technical report, 1337, 2009
91 2009 Progressive neural networks. arXiv 2016 AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
74 2016 Empirical evaluation of convolutional RBMs for vision G Desjardins, Y Bengio
Technical Report 1327, Département d’Informatique et de Recherche …, 2008
72 2008 
