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Alban Desmaison
Alban Desmaison
Verified email at robots.ox.ac.uk
Title
Cited by
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
670992019
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
170452017
Advances in neural information processing systems
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc 32, 8024-8035, 2019
27462019
Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation
J Ansel, E Yang, H He, N Gimelshein, A Jain, M Voznesensky, B Bao, ...
Proceedings of the 29th ACM International Conference on Architectural …, 2024
12982024
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ...
7492019
Pytorch fsdp: experiences on scaling fully sharded data parallel
Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ...
arXiv preprint arXiv:2304.11277, 2023
6032023
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 10, 1912
5451912
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
4482017
PyTorch: An Imperative Style, High-Performance Deep Learning Library, Dec
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
2032019
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
1052016
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
952021
& Lerer, A.(2017)
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
Automatic differentiation in pytorch, 2017
862017
Advances in Neural Information Processing Systems 32 ed H
A Paszke, S Gross, F Massa
Wallach et al 8024, 2019
822019
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
732020
An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, JP Bradbury, G Chanan, T Killeen, ...
Adv. Neural Inf. Process. Syst 32 (8026), 5, 1912
651912
Adaptive neural compilation
RR Bunel, A Desmaison, PK Mudigonda, P Kohli, P Torr
Advances in Neural Information Processing Systems 29, 2016
612016
Pytorch: an imperative style, high-performance deep learning library. CoRR abs/1912.01703 (2019)
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 1912
531912
Andreas Kö pf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An …
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 8-14, 2019
472019
Shen Li
Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ...
Pytorch fsdp: Experiences on scaling fully sharded data parallel, 2023
442023
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
International Conference on Learning Representations (ICLR), 2017
442017
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