Alban Desmaison

Orcid: 0009-0002-4359-1974

According to our database1, Alban Desmaison authored at least 22 papers between 2014 and 2024.

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Bibliography

2024
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024


2023
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
Proc. VLDB Endow., 2023

Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.
CoRR, 2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
CoRR, 2023

Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.
Proceedings of the IEEE Real-Time Systems Symposium, 2023


2021
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.
CoRR, 2021

2020
Lagrangian Decomposition for Neural Network Verification.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Optimization for, and by, machine learning.
PhD thesis, 2019

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials.
SIAM J. Imaging Sci., 2019

PyTorch: An Imperative Style, High-Performance Deep Learning Library.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to superoptimize programs.
Proceedings of the 5th International Conference on Learning Representations, 2017

Efficient Linear Programming for Dense CRFs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Inducing Interpretable Representations with Variational Autoencoders.
CoRR, 2016

Learning to superoptimize programs - Workshop Version.
CoRR, 2016

Playing Doom with SLAM-Augmented Deep Reinforcement Learning.
CoRR, 2016

Adaptive Neural Compilation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient Continuous Relaxations for Dense CRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

2014
Power Consumption Analysis of Parallel Algorithms on GPUs.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

Fast and Green Computing with Graphics Processing Units for Solving Sparse Linear Systems.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014


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