R Devon Hjelm
R Devon Hjelm
Microsoft Research, University of Montreal, Mila
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
4672018
Mutual information neural estimation
MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ...
International Conference on Machine Learning, 531-540, 2018
434*2018
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
3842014
Learning representations by maximizing mutual information across views
P Bachman, RD Hjelm, W Buchwalter
Advances in Neural Information Processing Systems, 15535-15545, 2019
2102019
Deep Graph Infomax.
P Velickovic, W Fedus, WL Hamilton, P Li˛, Y Bengio, RD Hjelm
ICLR (Poster), 2019
1842019
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
1582017
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
1432015
Boundary-seeking generative adversarial networks
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio
arXiv preprint arXiv:1702.08431, 2017
1172017
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
1142014
Deep graph infomax
P Veličković, W Fedus, WL Hamilton, P Li˛, Y Bengio, RD Hjelm
arXiv preprint arXiv:1809.10341, 2018
762018
Unsupervised state representation learning in atari
A Anand, E Racah, S Ozair, Y Bengio, MA C˘tÚ, RD Hjelm
Advances in Neural Information Processing Systems, 8769-8782, 2019
392019
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
28*2016
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
24*2016
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
22*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, 4346-4357, 2019
20*2019
Reading the (functional) writing on the (structural) wall: multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novelá…
SM Plis, MF Amin, A Chekroud, D Hjelm, E Damaraju, HJ Lee, JR Bustillo, ...
Neuroimage 181, 734-747, 2018
192018
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
19*2018
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
142019
Leveraging exploration in off-policy algorithms via normalizing flows
B Mazoure, T Doan, A Durand, J Pineau, RD Hjelm
Conference on Robot Learning, 430-444, 2020
92020
Actual: Actor-critic under adversarial learning
A Goyal, NR Ke, A Lamb, RD Hjelm, C Pal, J Pineau, Y Bengio
arXiv preprint arXiv:1711.04755, 2017
82017
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Articles 1–20