Alban Desmaison
Alban Desmaison
Email confirmado em robots.ox.ac.uk
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Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 8026-8037, 2019
95212019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
82792017
Advances in Neural Information Processing Systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
2382019
Learning disentangled representations with semi-supervised deep generative models
S Narayanaswamy, T Paige, JW Van de Meent, A Desmaison, ...
1762018
Learning disentangled representations with semi-supervised deep generative models
N Siddharth, B Paige, JW Van de Meent, A Desmaison, ND Goodman, ...
arXiv preprint arXiv:1706.00400, 2017
862017
Playing doom with slam-augmented deep reinforcement learning
S Bhatti, A Desmaison, O Miksik, N Nardelli, N Siddharth, PHS Torr
arXiv preprint arXiv:1612.00380, 2016
672016
Pytorch: An imperative style, high-performance deep learning library. arXiv 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 1912
601912
Adaptive neural compilation
RR Bunel, A Desmaison, PK Mudigonda, P Kohli, P Torr
Advances in Neural Information Processing Systems 29, 1444-1452, 2016
432016
Efficient continuous relaxations for dense CRF
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
European conference on computer vision, 818-833, 2016
302016
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
arXiv preprint arXiv:1611.01787, 2016
252016
Efficient linear programming for dense CRFs
T Ajanthan, A Desmaison, R Bunel, M Salzmann, PHS Torr, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
17*2017
Lagrangian decomposition for neural network verification
R Bunel, A De Palma, A Desmaison, K Dvijotham, P Kohli, P Torr, ...
Conference on Uncertainty in Artificial Intelligence, 370-379, 2020
152020
Inducing interpretable representations with variational autoencoders
N Siddharth, B Paige, A Desmaison, JW Van de Meent, F Wood, ...
arXiv preprint arXiv:1611.07492, 2016
102016
Efficient relaxations for dense crfs with sparse higher-order potentials
T Joy, A Desmaison, T Ajanthan, R Bunel, M Salzmann, P Kohli, PHS Torr, ...
SIAM Journal on Imaging Sciences 12 (1), 287-318, 2019
72019
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
A De Palma, R Bunel, A Desmaison, K Dvijotham, P Kohli, PHS Torr, ...
arXiv preprint arXiv:2104.06718, 2021
42021
Learning disentangled representations in deep generative models
N Siddharth, B Paige, A Desmaison, JW van de Meent, F Wood, ...
32016
Learning Disentangled Representations in Deep Generative Models.(2016)
N Siddharth, B Paige, A Desmaison, JW van de Meent, F Wood, ...
Google Scholar Google Scholar Digital Library Digital Library, 2016
22016
Power consumption analysis of parallel algorithms on GPUs
F Magoulès, AKC Ahamed, A Desmaison, JC Léchenet, F Mayer, ...
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 …, 2014
22014
Fast and green computing with graphics processing units for solving sparse linear systems
AKC Ahamed, A Desmaison, F Magoulès
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 …, 2014
22014
Optimization for and by machine learning
A Desmaison
University of Oxford, 2019
2019
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Artigos 1–20