Thomas Laurent | DeepAI

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Yoshua Bengio
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Wee Sun Lee
41 publications
Nicolas Garcia Trillos
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Xavier Bresson
30 publications
Anh Tuan Luu
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Dejan Slepčev
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Louis-Martin Rousseau
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∙ 05/31/2023

Explanations as Features: LLM-Based Features for Text-Attributed Graphs

Representation learning on text-attributed graphs (TAGs) has become a cr...

7 Xiaoxin He, et al. ∙

∙ 05/25/2023

Feature Collapse

We formalize and study a phenomenon called feature collapse that makes p...

1 Thomas Laurent, et al. ∙

∙ 12/27/2022

A Generalization of ViT/MLP-Mixer to Graphs

Graph Neural Networks (GNNs) have shown great potential in the field of ...

4 Xiaoxin He, et al. ∙

∙ 06/01/2022

Learning to Untangle Genome Assembly with Graph Convolutional Networks

A quest to determine the complete sequence of a human DNA from telomere ...

20 Lovro Vrček, et al. ∙

∙ 05/29/2022

A Model of One-Shot Generalization

We provide a theoretical framework to study a phenomenon that we call on...

11 Thomas Laurent, et al. ∙

∙ 05/09/2022

The Forgotten Margins of AI Ethics

How has recent AI Ethics literature addressed topics such as fairness an...

0 Abeba Birhane, et al. ∙

∙ 03/02/2022

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem

The traveling salesman problem is a fundamental combinatorial optimizati...

4 Yong Liang Goh, et al. ∙

∙ 10/15/2021

Graph Neural Networks with Learnable Structural and Positional Representations

Graph neural networks (GNNs) have become the standard learning architect...

21 Vijay Prakash Dwivedi, et al. ∙

∙ 03/04/2021

The Transformer Network for the Traveling Salesman Problem

The Traveling Salesman Problem (TSP) is the most popular and most studie...

9 Xavier Bresson, et al. ∙

∙ 06/12/2020

Learning TSP Requires Rethinking Generalization

End-to-end training of neural network solvers for combinatorial problems...

36 Chaitanya K. Joshi, et al. ∙

∙ 03/02/2020

Benchmarking Graph Neural Networks

Graph neural networks (GNNs) have become the standard toolkit for analyz...

31 Vijay Prakash Dwivedi, et al. ∙

∙ 10/16/2019

On Learning Paradigms for the Travelling Salesman Problem

We explore the impact of learning paradigms on training deep neural netw...

40 Chaitanya K. Joshi, et al. ∙

∙ 10/02/2019

A Mutation-based Approach for Assessing Weight Coverage of a Path Planner

Autonomous cars are subjected to several different kind of inputs (other...

0 Thomas Laurent, et al. ∙

∙ 06/08/2019

A Two-Step Graph Convolutional Decoder for Molecule Generation

We propose a simple auto-encoder framework for molecule generation. The ...

7 Xavier Bresson, et al. ∙

∙ 06/04/2019

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

This paper introduces a new learning-based approach for approximately so...

46 Chaitanya K. Joshi, et al. ∙

∙ 04/15/2019

GraphTSNE: A Visualization Technique for Graph-Structured Data

We present GraphTSNE, a novel visualization technique for graph-structur...

44 Yao Yang Leow, et al. ∙

∙ 12/29/2017

The Multilinear Structure of ReLU Networks

We study the loss surface of neural networks equipped with a hinge loss ...

0 Thomas Laurent, et al. ∙

∙ 12/05/2017

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

We consider deep linear networks with arbitrary differentiable loss. We ...

0 Thomas Laurent, et al. ∙

∙ 11/20/2017

Residual Gated Graph ConvNets

Graph-structured data such as functional brain networks, social networks...

0 Xavier Bresson, et al. ∙

∙ 12/19/2016

A recurrent neural network without chaos

We introduce an exceptionally simple gated recurrent neural network (RNN...

0 Thomas Laurent, et al. ∙

∙ 06/19/2015

Enhanced Lasso Recovery on Graph

This work aims at recovering signals that are sparse on graphs. Compress...

0 Xavier Bresson, et al. ∙

∙ 11/24/2014

Consistency of Cheeger and Ratio Graph Cuts

This paper establishes the consistency of a family of graph-cut-based al...

0 Nicolas Garcia Trillos, et al. ∙

∙ 06/05/2013

Multiclass Total Variation Clustering

Ideas from the image processing literature have recently motivated a new...

0 Xavier Bresson, et al. ∙

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