Sotabase

Career

· Research Engineer, Facebook AI2019–
· DPhil Student, University of Oxford (Current)2016–
· R D Intern, Moodstocks2015–2015
· Software Engineering Intern, FreshPlanet2014–2014
· Master's degree, Computer science, Ecole centrale de Paris2013–2015
· Student Internship In Research Lab, NYU–Poly2013–2013
· Intern Radar Department, Thales2013–2014
· Blue Colar Internship, 106 South Indian Restaurant2012–2012

Publications (24)

PyTorch: An Imperative Style, High-Performance Deep Learning Library
Neural Information Processing Systems · 2019
49,389
cited
Automatic differentiation in PyTorch
2017
15,901
cited
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Proceedings of the VLDB Endowment · 2023
566
cited
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Neural Information Processing Systems · 2017
374
cited
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
arXiv.org · 2016
70
cited
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
arXiv.org · 2021
59
cited
Lagrangian Decomposition for Neural Network Verification
Conference on Uncertainty in Artificial Intelligence · 2020
52
cited
Deep Generative Models
Computer Vision · 2022
50
cited
Adaptive Neural Compilation
Neural Information Processing Systems · 2016
48
cited
Efficient Continuous Relaxations for Dense CRF
European Conference on Computer Vision · 2016
27
cited
Efficient Linear Programming for Dense CRFs
Computer Vision and Pattern Recognition · 2016
16
cited
Learning Disentangled Representations in Deep Generative Models
2017
13
cited
Learning to superoptimize programs - Workshop Version
International Conference on Learning Representations · 2016
10
cited
Inducing Interpretable Representations with Variational Autoencoders
arXiv.org · 2016
7
cited
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials
SIAM Journal of Imaging Sciences · 2018
6
cited
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls
Conference on Machine Learning and Systems · 2023
6
cited
Fast and Green Computing with Graphics Processing Units for Solving Sparse Linear Systems
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS) · 2014
4
cited
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
arXiv.org · 2023
2
cited
Power Consumption Analysis of Parallel Algorithms on GPUs
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS) · 2014
2
cited
Efficient Continuous Relaxations for Dense CRF Supplementary Materials
2016
1
cited
Sotabase
Alban Desmaison | Researcher Profile | Sotabase | Sotabase