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Guillaume Desjardins
Guillaume Desjardins
DeepMind
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Title
Cited by
Cited by
Year
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
82062017
Progressive neural networks
AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
31612016
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22132023
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
20332010
Understanding disentangling in -VAE
CP Burgess, I Higgins, A Pal, L Matthey, N Watters, G Desjardins, ...
arXiv preprint arXiv:1804.03599, 2018
12522018
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
9322016
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
8722010
Policy distillation
AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
8402015
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
4442013
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
3692011
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
2972012
Natural neural networks
G Desjardins, K Simonyan, R Pascanu
Advances in neural information processing systems 28, 2015
2322015
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
2192016
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
1532010
Disentangling factors of variation via generative entangling
G Desjardins, A Courville, Y Bengio
arXiv preprint arXiv:1210.5474, 2012
1292012
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
1242010
Information asymmetry in KL-regularized RL
A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ...
arXiv preprint arXiv:1905.01240, 2019
1102019
Quadratic polynomials learn better image features
J Bergstra, G Desjardins, P Lamblin, Y Bengio
Technical report, 1337, 2009
932009
Progressive neural networks. arXiv 2016
AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
812016
Reward is enough for convex mdps
T Zahavy, B O'Donoghue, G Desjardins, S Singh
Advances in Neural Information Processing Systems 34, 25746-25759, 2021
772021
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Articles 1–20