Thomas Laurent

50 papers A* 9A 1Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition. ICML Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2025	J	`jnl`	Generative diffusion models from a PDE perspective. CoRR Fei Cao, Kimball Johnston, Thomas Laurent, Justin Le, Sébastien Motsch
2024	J	`jnl`	Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2024	A*	`conf`	Feature Collapse. ICLR Thomas Laurent, James von Brecht, Xavier Bresson
2024	A*	`conf`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. NeurIPS Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	A*	`conf`	Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
2023	A*	`conf`	A Generalization of ViT/MLP-Mixer to Graphs. ICML Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2023	J	`jnl`	Benchmarking Graph Neural Networks. J. Mach. Learn. Res. Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2023	J	`jnl`	Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
2023	J	`jnl`	Feature Collapse. CoRR Thomas Laurent, James H. von Brecht, Xavier Bresson
2023	A*	`conf`	Long-Tailed Learning Requires Feature Learning. ICLR Thomas Laurent, James von Brecht, Xavier Bresson
2023	—	`conf`	Reconstruction of short genomic sequences with graph convolutional networks. MIPRO Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
2022	J	`jnl`	A Generalization of ViT/MLP-Mixer to Graphs. CoRR Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2022	J	`jnl`	A Model of One-Shot Generalization. CoRR Thomas Laurent, James H. von Brecht, Xavier Bresson
2022	J	`jnl`	Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
2022	A*	`conf`	Graph Neural Networks with Learnable Structural and Positional Representations. ICLR Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2022	J	`jnl`	Learning the travelling salesperson problem requires rethinking generalization. Constraints An Int. J. Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
2022	J	`jnl`	Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic
2021	J	`jnl`	Graph Neural Networks with Learnable Structural and Positional Representations. CoRR Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2021	A	`conf`	Learning TSP Requires Rethinking Generalization. CP Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
2021	J	`jnl`	The Transformer Network for the Traveling Salesman Problem. CoRR Xavier Bresson, Thomas Laurent
2020	J	`jnl`	Benchmarking Graph Neural Networks. CoRR Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2020	J	`jnl`	Learning TSP Requires Rethinking Generalization. CoRR Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
2019	J	`jnl`	A Two-Step Graph Convolutional Decoder for Molecule Generation. CoRR Xavier Bresson, Thomas Laurent
2019	J	`jnl`	An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. CoRR Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
2019	J	`jnl`	GraphTSNE: A Visualization Technique for Graph-Structured Data. CoRR Yao Yang Leow, Thomas Laurent, Xavier Bresson
2019	J	`jnl`	On Learning Paradigms for the Travelling Salesman Problem. CoRR Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
2018	—	`conf`	An Experimental Study of Neural Networks for Variable Graphs. ICLR (Workshop) Xavier Bresson, Thomas Laurent
2018	A*	`conf`	Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global. ICML Thomas Laurent, James von Brecht
2018	A*	`conf`	The Multilinear Structure of ReLU Networks. ICML Thomas Laurent, James von Brecht
2017	—	`conf`	A recurrent neural network without chaos. ICLR (Poster) Thomas Laurent, James von Brecht
2017	J	`jnl`	Deep linear neural networks with arbitrary loss: All local minima are global. CoRR Thomas Laurent, James von Brecht
2017	J	`jnl`	Residual Gated Graph ConvNets. CoRR Xavier Bresson, Thomas Laurent
2017	J	`jnl`	The Multilinear Structure of ReLU Networks. CoRR Thomas Laurent, James von Brecht
2016	J	`jnl`	A recurrent neural network without chaos. CoRR Thomas Laurent, James H. von Brecht
2016	J	`jnl`	Consistency of Cheeger and Ratio Graph Cuts. J. Mach. Learn. Res. Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
2016	—	`conf`	The Product Cut. NIPS Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam
2016	J	`jnl`	The Regularity of the Boundary of a Multidimensional Aggregation Patch. SIAM J. Math. Anal. Andrea L. Bertozzi, John B. Garnett, Thomas Laurent, Joan Verdera
2015	J	`jnl`	Enhanced Lasso Recovery on Graph. CoRR Xavier Bresson, Thomas Laurent, James H. von Brecht
2015	—	`conf`	Enhanced lasso recovery on graph. EUSIPCO Xavier Bresson, Thomas Laurent, James H. von Brecht
2014	J	`jnl`	An Incremental Reseeding Strategy for Clustering. CoRR Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht
2014	J	`jnl`	Consistency of Cheeger and Ratio Graph Cuts. CoRR Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson
2013	J	`jnl`	A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme. SIAM J. Appl. Math. Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi
2013	J	`jnl`	A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme CoRR Huiyi Hu, Thomas Laurent, Mason A. Porter, Andrea L. Bertozzi
2013	—	`conf`	Multiclass Total Variation Clustering. NIPS Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2013	J	`jnl`	Multiclass Total Variation Clustering. CoRR Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2012	J	`jnl`	Characterization of Radially Symmetric Finite Time Blowup in Multidimensional Aggregation Equations. SIAM J. Math. Anal. Andrea L. Bertozzi, John B. Garnett, Thomas Laurent
2012	—	`conf`	Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht
2006	J	`jnl`	Parabolic Behavior of a Hyperbolic Delay Equation. SIAM J. Math. Anal. Thomas Laurent, Brian Rider, Michael Reed