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Alban Desmaison
Alban Desmaison
Adresă de e-mail confirmată pe robots.ox.ac.uk
Titlu
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Citat de
Anul
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
434102019
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
140982017
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
11272019
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ...
6962019
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
4022017
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
1841912
PyTorch: An Imperative Style
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
High-Performance Deep Learning Library 12, 1912
1271912
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
972016
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
952023
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
582020
Adaptive neural compilation
RR Bunel, A Desmaison, PK Mudigonda, P Kohli, P Torr
Advances in Neural Information Processing Systems 29, 2016
562016
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
502021
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
International Conference on Learning Representations (ICLR), 2017
402017
Efficient continuous relaxations for dense CRF
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
382016
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, ...
352024
Chintala S.(2019)
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Pytorch: An imperative style, high-performance deep learning library …, 0
22
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
212017
PyTorch: An imperative style, high-performance deep learning library.(NeurIPS)(2019)
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
191912
PyTorch: An imperative style, high-performance deep learning library. arXiv [cs. LG]
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
132019
Inducing interpretable representations with variational autoencoders
N Siddharth, B Paige, A Desmaison, JW Van de Meent, F Wood, ...
arXiv preprint arXiv:1611.07492, 2016
132016
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