Следене
Laurent Dinh
Заглавие
Позовавания
Позовавания
Година
Density estimation using real nvp
L Dinh, J Sohl-Dickstein, S Bengio
arXiv preprint arXiv:1605.08803, 2016
23772016
Nice: Non-linear independent components estimation
L Dinh, D Krueger, Y Bengio
arXiv preprint arXiv:1410.8516, 2014
15072014
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems 26, 2013
13322013
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 28, 2015
11382015
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
8552016
Sharp minima can generalize for deep nets
L Dinh, R Pascanu, S Bengio, Y Bengio
International Conference on Machine Learning, 1019-1028, 2017
5352017
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
1852016
Techniques for learning binary stochastic feedforward neural networks
T Raiko, M Berglund, G Alain, L Dinh
arXiv preprint arXiv:1406.2989, 2014
1232014
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 2 (5), 3, 2019
1092019
Discrete flows: Invertible generative models of discrete data
D Tran, K Vafa, K Agrawal, L Dinh, B Poole
Advances in Neural Information Processing Systems 32, 2019
832019
Videoflow: A conditional flow-based model for stochastic video generation
M Kumar, M Babaeizadeh, D Erhan, C Finn, S Levine, L Dinh, D Kingma
arXiv preprint arXiv:1903.01434, 2019
762019
Supranormal renographic differential renal function in congenital hydronephrosis: fact, not artifact
G CAPOLICCHIO, R JEDNAK, L DINH, JLP SALLE, A BRZEZINSKI, ...
The Journal of urology 161 (4), 1290-1294, 1999
531999
Density estimation using real NVP (2016)
L Dinh, J Sohl-Dickstein, S Bengio
arXiv preprint arXiv:1605.08803, 2017
512017
Augmented normalizing flows: Bridging the gap between generative flows and latent variable models
CW Huang, L Dinh, A Courville
arXiv preprint arXiv:2002.07101, 2020
502020
Learning awareness models
B Amos, L Dinh, S Cabi, T Rothörl, SG Colmenarejo, A Muldal, T Erez, ...
arXiv preprint arXiv:1804.06318, 2018
422018
A RAD approach to deep mixture models
L Dinh, J Sohl-Dickstein, H Larochelle, R Pascanu
arXiv preprint arXiv:1903.07714, 2019
352019
Invertible convolutional flow
M Karami, D Schuurmans, J Sohl-Dickstein, L Dinh, D Duckworth
Advances in Neural Information Processing Systems 32, 2019
342019
Theano: A Python framework for fast computation of mathematical expressions. arXiv
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
342016
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
322016
Perfect density models cannot guarantee anomaly detection
C Le Lan, L Dinh
Entropy 23 (12), 1690, 2021
292021
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20