Edouard Oyallon

According to our database1, Edouard Oyallon authored at least 24 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Gradient Masked Averaging for Federated Learning.
CoRR, 2022

2021
Low-Rank Projections of GCNs Laplacian.
CoRR, 2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.
CoRR, 2021

Interferometric Graph Transform for Community Labeling.
CoRR, 2021

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Kymatio: Scattering Transforms in Python.
J. Mach. Learn. Res., 2020

Interferometric Graph Transform: a Deep Unsupervised Graph Representation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Decoupled Greedy Learning of CNNs.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Scattering Networks for Hybrid Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

On Lazy Training in Differentiable Programming.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Greedy Layerwise Learning Can Scale To ImageNet.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Kymatio: Scattering Transforms in Python.
CoRR, 2018

Nonlinear Acceleration of Deep Neural Networks.
CoRR, 2018

Nonlinear Acceleration of CNNs.
Proceedings of the 6th International Conference on Learning Representations, 2018

i-RevNet: Deep Invertible Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Compressing the Input for CNNs with the First-Order Scattering Transform.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Analyzing and Introducing Structures in Deep Convolutional Neural Networks. (Analyse et structuration des réseaux de neurones convolutifs profonds).
PhD thesis, 2017

Multiscale Hierarchical Convolutional Networks.
CoRR, 2017

Scaling the Scattering Transform: Deep Hybrid Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Building a Regular Decision Boundary with Deep Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
An Analysis of the SURF Method.
Image Process. Line, 2015

Deep roto-translation scattering for object classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Generic Deep Networks with Wavelet Scattering.
Proceedings of the 2nd International Conference on Learning Representations, 2014


  Loading...