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Alban Desmaison
Alban Desmaison
Verified email at robots.ox.ac.uk
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Cited by
Year
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, 2019
169532019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
31st Conference on Neural Information Processing Systems (NIPS 2017), 2017
101052017
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
4262019
Learning disentangled representations with semi-supervised deep generative models
B Paige, JW van de Meent, A Desmaison, N Goodman, P Kohli, F Wood, ...
Advances in neural information processing systems 30, 2017
2992017
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
781912
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
772016
Adaptive neural compilation
RR Bunel, A Desmaison, PK Mudigonda, P Kohli, P Torr
Advances in Neural Information Processing Systems 29, 2016
472016
Efficient continuous relaxations for dense CRF
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
European conference on computer vision, 818-833, 2016
352016
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
International Conference on Learning Representations (ICLR), 2017
312017
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
232020
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
202017
Inducing interpretable representations with variational autoencoders
N Siddharth, B Paige, A Desmaison, JW Van de Meent, F Wood, ...
arXiv preprint arXiv:1611.07492, 2016
112016
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
102019
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
92021
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
Fast and Green Computing with Graphics Processing Units for solving Sparse Linear Systems
AK Cheik Ahamed, A Desmaison, F Magoules
arXiv e-prints, arXiv: 2112.10823, 2021
2021
Optimization for and by Machine Learning
A Desmaison
University of Oxford, 2019
2019
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Articles 1–20