Thomas Laurent

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Energy Minimization Framework

Graph Representation

Learning Paradigms

Top Venues

J. Mach. Learn. Res.

Publications

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR (2024)
Thomas Laurent, James von Brecht, Xavier Bresson
Feature Collapse. ICLR (2024)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR (2024)
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR (2024)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Thomas Laurent, James H. von Brecht, Xavier Bresson
Feature Collapse. CoRR (2023)
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
Reconstruction of short genomic sequences with graph convolutional networks. MIPRO (2023)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR (2023)
Thomas Laurent, James von Brecht, Xavier Bresson
Long-Tailed Learning Requires Feature Learning. ICLR (2023)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. ICML (2023)
Thomas Laurent, James H. von Brecht, Xavier Bresson
A Model of One-Shot Generalization. CoRR (2022)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
Learning the travelling salesperson problem requires rethinking generalization. Constraints An Int. J. 27 (1-2) (2022)
Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR (2022)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. ICLR (2022)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. CoRR (2022)
Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR (2022)
Xavier Bresson, Thomas Laurent
The Transformer Network for the Traveling Salesman Problem. CoRR (2021)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
Learning TSP Requires Rethinking Generalization. CP (2021)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. CoRR (2021)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. CoRR (2020)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
Learning TSP Requires Rethinking Generalization. CoRR (2020)
Xavier Bresson, Thomas Laurent
A Two-Step Graph Convolutional Decoder for Molecule Generation. CoRR (2019)
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
On Learning Paradigms for the Travelling Salesman Problem. CoRR (2019)
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. CoRR (2019)
Yao Yang Leow, Thomas Laurent, Xavier Bresson
GraphTSNE: A Visualization Technique for Graph-Structured Data. CoRR (2019)
Xavier Bresson, Thomas Laurent
An Experimental Study of Neural Networks for Variable Graphs. ICLR (Workshop) (2018)
Thomas Laurent, James von Brecht
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global. ICML (2018)
Thomas Laurent, James von Brecht
The Multilinear Structure of ReLU Networks. ICML (2018)
Thomas Laurent, James von Brecht
A recurrent neural network without chaos. ICLR (Poster) (2017)
Xavier Bresson, Thomas Laurent
Residual Gated Graph ConvNets. CoRR (2017)
Thomas Laurent, James von Brecht
The Multilinear Structure of ReLU Networks. CoRR (2017)
Thomas Laurent, James von Brecht
Deep linear neural networks with arbitrary loss: All local minima are global. CoRR (2017)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. J. Mach. Learn. Res. 17 (2016)
Andrea L. Bertozzi, John B. Garnett, Thomas Laurent, Joan Verdera
The Regularity of the Boundary of a Multidimensional Aggregation Patch. SIAM J. Math. Anal. 48 (6) (2016)
Thomas Laurent, James H. von Brecht
A recurrent neural network without chaos. CoRR (2016)
Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam
The Product Cut. NIPS (2016)
Xavier Bresson, Thomas Laurent, James H. von Brecht
Enhanced lasso recovery on graph. EUSIPCO (2015)
Xavier Bresson, Thomas Laurent, James H. von Brecht
Enhanced Lasso Recovery on Graph. CoRR (2015)
Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
Consistency of Cheeger and Ratio Graph Cuts. CoRR (2014)
Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht
An Incremental Reseeding Strategy for Clustering. CoRR (2014)
Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi
A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme. SIAM J. Appl. Math. 73 (6) (2013)
Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi
A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme CoRR (2013)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Multiclass Total Variation Clustering. CoRR (2013)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Multiclass Total Variation Clustering. NIPS (2013)
Andrea L. Bertozzi, John B. Garnett, Thomas Laurent
Characterization of Radially Symmetric Finite Time Blowup in Multidimensional Aggregation Equations. SIAM J. Math. Anal. 44 (2) (2012)
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS (2012)
Thomas Laurent, Brian Rider, Michael Reed
Parabolic Behavior of a Hyperbolic Delay Equation. SIAM J. Math. Anal. 38 (1) (2006)