Arthur Szlam
Arthur Szlam
Facebook AI Research
Подтвержден адрес электронной почты в домене
End-to-end memory networks
S Sukhbaatar, A Szlam, J Weston, R Fergus
Advances in neural information processing systems 28, 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
E Denton, S Chintala, A Szlam, R Fergus
Advances in neural information processing systems 28, 2015
Spectral networks and locally connected networks on graphs
J Bruna, W Zaremba, A Szlam, Y LeCun
arXiv preprint arXiv:1312.6203, 2013
Geometric deep learning: going beyond euclidean data
MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst
IEEE Signal Processing Magazine 34 (4), 18-42, 2017
Incremental gradient on the grassmannian for online foreground and background separation in subsampled video
J He, L Balzano, A Szlam
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1568-1575, 2012
A randomized algorithm for principal component analysis
V Rokhlin, A Szlam, M Tygert
SIAM Journal on Matrix Analysis and Applications 31 (3), 1100-1124, 2009
Learning multiagent communication with backpropagation
S Sukhbaatar, A Szlam, R Fergus
Advances in Neural Information Processing Systems, 2244-2252, 2016
Video (language) modeling: a baseline for generative models of natural videos
MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra
arXiv preprint arXiv:1412.6604, 2014
Hybrid linear modeling via local best-fit flats
T Zhang, A Szlam, Y Wang, G Lerman
International journal of computer vision 100 (3), 217-240, 2012
Simple baseline for visual question answering
B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
arXiv preprint arXiv:1512.02167, 2015
Regularization on graphs with function-adapted diffusion processes
AD Szlam, M Maggioni, RR Coifman
Journal of Machine Learning Research 9 (Aug), 1711-1739, 2008
Median k-flats for hybrid linear modeling with many outliers
T Zhang, A Szlam, G Lerman
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Tracking the world state with recurrent entity networks
M Henaff, J Weston, A Szlam, A Bordes, Y LeCun
arXiv preprint arXiv:1612.03969, 2016
Evaluating prerequisite qualities for learning end-to-end dialog systems
J Dodge, A Gane, X Zhang, A Bordes, S Chopra, A Miller, A Szlam, ...
arXiv preprint arXiv:1511.06931, 2015
Personalizing Dialogue Agents: I have a dog, do you have pets too?
S Zhang, E Dinan, J Urbanek, A Szlam, D Kiela, J Weston
arXiv preprint arXiv:1801.07243, 2018
Effects of pore structure and wettability on the electrical resistivity of partially saturated rocks—A network study
RJ Suman, RJ Knight
Geophysics 62 (4), 1151-1162, 1997
Total Variation, Cheeger Cuts.
A Szlam, X Bresson
ICML, 1039-1046, 2010
Optimizing the latent space of generative networks
P Bojanowski, A Joulin, D Lopez-Paz, A Szlam
arXiv preprint arXiv:1707.05776, 2017
Intrinsic motivation and automatic curricula via asymmetric self-play
S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus
arXiv preprint arXiv:1703.05407, 2017
Weakly supervised memory networks
S Sukhbaatar, A Szlam, J Weston, R Fergus
arXiv preprint arXiv:1503.08895 412, 2015
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