Thomas Laurent

James H. von Brecht

CoRR, 2023

Reconstruction of short genomic sequences with graph convolutional networks.

[BibT_eX]

[DOI]

Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

A Generalization of ViT/MLP-Mixer to Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Long-Tailed Learning Requires Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Untangle Genome Assembly with Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

A Model of One-Shot Generalization.

[BibT_eX]

[DOI]

James H. von Brecht

CoRR, 2022

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2022

Learning the travelling salesperson problem requires rethinking generalization.

[BibT_eX]

[DOI]

Quentin Cappart

Louis-Martin Rousseau

Constraints An Int. J., 2022

Graph Neural Networks with Learnable Structural and Positional Representations.

[BibT_eX]

[DOI]

Vijay Prakash Dwivedi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The Transformer Network for the Traveling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2021

Learning TSP Requires Rethinking Generalization.

[BibT_eX]

[DOI]

Quentin Cappart

Louis-Martin Rousseau

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020

Learning TSP Requires Rethinking Generalization.

[BibT_eX]

[DOI]

Quentin Cappart

Louis-Martin Rousseau

CoRR, 2020

Benchmarking Graph Neural Networks.

[BibT_eX]

[DOI]

Vijay Prakash Dwivedi

CoRR, 2020

2019

On Learning Paradigms for the Travelling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2019

A Two-Step Graph Convolutional Decoder for Molecule Generation.

[BibT_eX]

[DOI]

CoRR, 2019

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2019

GraphTSNE: A Visualization Technique for Graph-Structured Data.

[BibT_eX]

[DOI]

Yao Yang Leow

CoRR, 2019

2018

The Multilinear Structure of ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

An Experimental Study of Neural Networks for Variable Graphs.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Deep linear neural networks with arbitrary loss: All local minima are global.

[BibT_eX]

[DOI]

CoRR, 2017

Residual Gated Graph ConvNets.

[BibT_eX]

[DOI]

CoRR, 2017

A recurrent neural network without chaos.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

The Regularity of the Boundary of a Multidimensional Aggregation Patch.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2016

Consistency of Cheeger and Ratio Graph Cuts.

[BibT_eX]

[DOI]

Nicolás García Trillos

J. Mach. Learn. Res., 2016

The Product Cut.

[BibT_eX]

[DOI]

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

2015

Enhanced lasso recovery on graph.

[BibT_eX]

[DOI]

James H. von Brecht

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

An Incremental Reseeding Strategy for Clustering.

[BibT_eX]

[DOI]

CoRR, 2014

2013

A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2013

Multiclass Total Variation Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Characterization of Radially Symmetric Finite Time Blowup in Multidimensional Aggregation Equations.

[BibT_eX]

[DOI]

Andrea L. Bertozzi

John B. Garnett

SIAM J. Math. Anal., 2012

Convergence and Energy Landscape for Cheeger Cut Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2006

Parabolic Behavior of a Hyperbolic Delay Equation.

[BibT_eX]

[DOI]