Alban Desmaison
Alban Desmaison
Verified email at robots.ox.ac.uk
Title
Cited by
Cited by
Year
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
44752017
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, 8024-8035, 2019
6202019
Learning disentangled representations with semi-supervised deep generative models
N Siddharth, B Paige, JW Van de Meent, A Desmaison, N Goodman, ...
Advances in Neural Information Processing Systems, 5925-5935, 2017
1462017
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
452016
Adaptive neural compilation
RR Bunel, A Desmaison, PK Mudigonda, P Kohli, P Torr
Advances in Neural Information Processing Systems, 1444-1452, 2016
312016
Efficient continuous relaxations for dense CRF
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
European conference on computer vision, 818-833, 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
13*2017
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
arXiv preprint arXiv:1611.01787, 2016
102016
Inducing interpretable representations with variational autoencoders
N Siddharth, B Paige, A Desmaison, JW Van de Meent, F Wood, ...
arXiv preprint arXiv:1611.07492, 2016
82016
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
32019
Learning disentangled representations in deep generative models
N Siddharth, B Paige, A Desmaison, JW van de Meent, F Wood, ...
32016
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
Lagrangian Decomposition for Neural Network Verification
R Bunel, A De Palma, A Desmaison, K Dvijotham, P Kohli, PHS Torr, ...
arXiv preprint arXiv:2002.10410, 2020
2020
Learning to superoptimize programs
PK Mudigonda, R Bunel, A Desmaison, P Kohli, PHS Torr
Computational and Biological Learning Society, 2017
2017
Learning to superoptimize programs-Workshop Version
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
arXiv preprint arXiv:1612.01094, 2016
2016
Lagrangian decomposition for neural network verification
A Desmaison, KD Dvijotham, PHS Torr, MP Kumar, A De Palma, R Bunel, ...
AUAI Press, 0
STRUCTURED INTERPRETATION OF DEEP GENERATIVE MODELS
N Siddharth, B Paige, A Desmaison, F Wood, P Torr, JW van de Meent, ...
Efficient Continuous Relaxations for Dense CRF Supplementary Materials
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
Efficient Linear Programming for Dense CRFs-Supplementary Material
T Ajanthan, A Desmaison, R Bunel, M Salzmann, PHS Torr, MP Kumar
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Articles 1–20