Devon Hjelm
Devon Hjelm
Microsoft Research, University of Montreal, Mila
Email verificata su microsoft.com - Home page
TitoloCitata daAnno
Deep learning for neuroimaging: a validation study
SM Plis, DR Hjelm, R Salakhutdinov, EA Allen, HJ Bockholt, JD Long, ...
Frontiers in neuroscience 8, 229, 2014
3082014
Mutual information neural estimation
MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ...
International Conference on Machine Learning, 531-540, 2018
216*2018
Learning deep representations by mutual information estimation and maximization
RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, P Bachman, ...
arXiv preprint arXiv:1808.06670, 2018
1492018
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia
Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ...
Neuroimage 107, 345-355, 2015
1222015
Maximum-likelihood augmented discrete generative adversarial networks
T Che, Y Li, R Zhang, RD Hjelm, W Li, Y Song, Y Bengio
arXiv preprint arXiv:1702.07983, 2017
1092017
Restricted Boltzmann Machines for Neuroimaging: an Application in Identifying Intrinsic Networks
D Hjelm, V Calhoun, EA Allen, T Adali, R Salakhutdinov, SM Plis
NeuroImage, in Press, 2014
992014
Boundary-seeking generative adversarial networks
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio
arXiv preprint arXiv:1702.08431, 2017
832017
Deep graph infomax
P Veličković, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm
arXiv preprint arXiv:1809.10341, 2018
762018
Learning representations by maximizing mutual information across views
P Bachman, RD Hjelm, W Buchwalter
Advances in Neural Information Processing Systems, 15509-15519, 2019
282019
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
22*2016
Iterative refinement of the approximate posterior for directed belief networks
D Hjelm, RR Salakhutdinov, K Cho, N Jojic, V Calhoun, J Chung
Advances in Neural Information Processing Systems, 4691-4699, 2016
182016
Spatio-temporal dynamics of intrinsic networks in functional magnetic imaging data using recurrent neural networks
RD Hjelm, E Damaraju, K Cho, H Laufs, SM Plis, VD Calhoun
Frontiers in neuroscience 12, 600, 2018
15*2018
Reading the (functional) writing on the (structural) wall: multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel …
SM Plis, MF Amin, A Chekroud, D Hjelm, E Damaraju, HJ Lee, JR Bustillo, ...
Neuroimage 181, 734-747, 2018
92018
Deep learning for neuroimaging: A validation study. Front. Neurosci. 8, 1–11
SM Plis, DR Hjelm, R Slakhutdinov, EA Allen, HJ Bockholt, JD Long, ...
82014
Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction
A El-Nouby, S Sharma, H Schulz, D Hjelm, LE Asri, SE Kahou, Y Bengio, ...
Proceedings of the IEEE International Conference on Computer Vision, 10304-10312, 2019
7*2019
On Adversarial Mixup Resynthesis
C Beckham, S Honari, V Verma, AM Lamb, F Ghadiri, RD Hjelm, Y Bengio, ...
Advances in Neural Information Processing Systems, 4348-4359, 2019
62019
On-Line Adaptative Curriculum Learning for GANs
T Doan, J Monteiro, I Albuquerque, B Mazoure, A Durand, J Pineau, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3470-3477, 2019
52019
Leveraging exploration in off-policy algorithms via normalizing flows
B Mazoure, T Doan, A Durand, RD Hjelm, J Pineau
arXiv preprint arXiv:1905.06893, 2019
52019
Unsupervised state representation learning in atari
A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm
Advances in Neural Information Processing Systems, 8766-8779, 2019
52019
Variance regularizing adversarial learning
K Grewal, RD Hjelm, Y Bengio
arXiv preprint arXiv:1707.00309, 2017
52017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20