Laurent Dinh
TitleCited byYear
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems, 2148-2156, 2013
6692013
Density estimation using real nvp
L Dinh, J Sohl-Dickstein, S Bengio
arXiv preprint arXiv:1605.08803, 2016
5082016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
4702016
A recurrent latent variable model for sequential data
J Chung, K Kastner, L Dinh, K Goel, AC Courville, Y Bengio
Advances in neural information processing systems, 2980-2988, 2015
4462015
Nice: Non-linear independent components estimation
L Dinh, D Krueger, Y Bengio
arXiv preprint arXiv:1410.8516, 2014
3382014
Recurrent batch normalization
T Cooijmans, N Ballas, C Laurent, Ç Gülçehre, A Courville
arXiv preprint arXiv:1603.09025, 2016
2662016
Sharp minima can generalize for deep nets
L Dinh, R Pascanu, S Bengio, Y Bengio
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1842017
Batch normalized recurrent neural networks
C Laurent, G Pereyra, P Brakel, Y Zhang, Y Bengio
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1472016
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
1172016
Techniques for learning binary stochastic feedforward neural networks
T Raiko, M Berglund, G Alain, L Dinh
arXiv preprint arXiv:1406.2989, 2014
782014
The tenth annual MLSP competition: schizophrenia classification challenge
RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ...
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
342014
VideoFlow: A flow-based generative model for video
M Kumar, M Babaeizadeh, D Erhan, C Finn, S Levine, L Dinh, D Kingma
arXiv preprint arXiv:1903.01434, 2019
262019
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
URL http://arxiv. org/abs/1605.02688, 2016
202016
Harm de Vries, David Warde-Farley, Dustin J
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016
182016
Deep independence network analysis of structural brain imaging: application to schizophrenia
E Castro, RD Hjelm, SM Plis, L Dinh, JA Turner, VD Calhoun
IEEE transactions on medical imaging 35 (7), 1729-1740, 2016
172016
Learning awareness models
B Amos, L Dinh, S Cabi, T Rothörl, SG Colmenarejo, A Muldal, T Erez, ...
arXiv preprint arXiv:1804.06318, 2018
132018
Discrete Flows: Invertible Generative Models of Discrete Data
D Tran, K Vafa, KK Agrawal, L Dinh, B Poole
arXiv preprint arXiv:1905.10347, 2019
102019
Fast approximate natural gradient descent in a kronecker factored eigenbasis
T George, C Laurent, X Bouthillier, N Ballas, P Vincent
Advances in Neural Information Processing Systems, 9550-9560, 2018
102018
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints abs/1605.02688 (May 2016)
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
URL http://arxiv. org/abs/1605.02688, 2016
82016
A RAD approach to deep mixture models
L Dinh, J Sohl-Dickstein, R Pascanu, H Larochelle
arXiv preprint arXiv:1903.07714, 2019
52019
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Articles 1–20