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ORCIDThomas Laurent 0001
Person information
- affiliation: Loyola Marymount University, Department of Mathematics, Los Angeles, CA, USA
- affiliation (former): University of California, Riverside, Department of Mathematics, CA, USA
- affiliation (PhD 2006): Duke University, Department of Mathematics, Durham, NC, USA
Other persons with the same name
- Thomas Laurent 0002
![[0000-0002-0013-8240]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0013-8240")
— European Molecular Biology Laboratory, European Bioinformatics Institute - Thomas Laurent 0003 — University College Dublin, Ireland (and 1 more)
- Thomas Laurent 0004 — FCS Railenium, Famars, France
2020 – today
- 2025
[i26]Fei Cao, Kimball Johnston, Thomas Laurent, Justin Le, Sébastien Motsch:
Generative diffusion models from a PDE perspective. CoRR abs/2501.17054 (2025)- 2024
- [c16]Thomas Laurent, James von Brecht, Xavier Bresson:
Feature Collapse. ICLR 2024 - [c15]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 - [c14]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. NeurIPS 2024 - [i25]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 abs/2402.07630 (2024) - [i24]Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson:
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR abs/2405.13806 (2024) - 2023
- [j7]Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. J. Mach. Learn. Res. 24: 43:1-43:48 (2023) - [c13]Thomas Laurent, James von Brecht, Xavier Bresson:
Long-Tailed Learning Requires Feature Learning. ICLR 2023 - [c12]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. ICML 2023: 12724-12745 - [c11]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Reconstruction of short genomic sequences with graph convolutional networks. MIPRO 2023: 403-409 - [i23]Thomas Laurent, James H. von Brecht, Xavier Bresson:
Feature Collapse. CoRR abs/2305.16162 (2023) - [i22]Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi:
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR abs/2305.19523 (2023) - 2022
- [j6]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): 70-98 (2022) - [c10]Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Graph Neural Networks with Learnable Structural and Positional Representations. ICLR 2022 - [i21]Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim:
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR abs/2203.00903 (2022) - [i20]Thomas Laurent, James H. von Brecht, Xavier Bresson:
A Model of One-Shot Generalization. CoRR abs/2205.14553 (2022) - [i19]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR abs/2206.00668 (2022) - [i18]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. CoRR abs/2212.13350 (2022) - 2021
- [c9]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent:
Learning TSP Requires Rethinking Generalization. CP 2021: 33:1-33:21 - [i17]Xavier Bresson, Thomas Laurent:
The Transformer Network for the Traveling Salesman Problem. CoRR abs/2103.03012 (2021) - [i16]Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Graph Neural Networks with Learnable Structural and Positional Representations. CoRR abs/2110.07875 (2021) - 2020
- [i15]Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. CoRR abs/2003.00982 (2020) - [i14]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson:
Learning TSP Requires Rethinking Generalization. CoRR abs/2006.07054 (2020)
2010 – 2019
- 2019
- [i13]Yao Yang Leow, Thomas Laurent, Xavier Bresson:
GraphTSNE: A Visualization Technique for Graph-Structured Data. CoRR abs/1904.06915 (2019) - [i12]Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. CoRR abs/1906.01227 (2019) - [i11]Xavier Bresson, Thomas Laurent:
A Two-Step Graph Convolutional Decoder for Molecule Generation. CoRR abs/1906.03412 (2019) - [i10]Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson:
On Learning Paradigms for the Travelling Salesman Problem. CoRR abs/1910.07210 (2019) - 2018
- [c8]Xavier Bresson, Thomas Laurent:
An Experimental Study of Neural Networks for Variable Graphs. ICLR (Workshop) 2018 - [c7]Thomas Laurent, James von Brecht:
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global. ICML 2018: 2908-2913 - [c6]Thomas Laurent, James von Brecht:
The Multilinear Structure of ReLU Networks. ICML 2018: 2914-2922 - 2017
- [c5]Thomas Laurent, James von Brecht:
A recurrent neural network without chaos. ICLR (Poster) 2017 - [i9]Xavier Bresson, Thomas Laurent:
Residual Gated Graph ConvNets. CoRR abs/1711.07553 (2017) - [i8]Thomas Laurent, James von Brecht:
Deep linear neural networks with arbitrary loss: All local minima are global. CoRR abs/1712.01473 (2017) - [i7]Thomas Laurent, James von Brecht:
The Multilinear Structure of ReLU Networks. CoRR abs/1712.10132 (2017) - 2016
- [j5]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: 181:1-181:46 (2016) - [j4]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): 3789-3819 (2016) - [c4]Thomas Laurent, James H. von Brecht, Xavier Bresson, Arthur Szlam:
The Product Cut. NIPS 2016: 3792-3800 - [i6]Thomas Laurent, James H. von Brecht:
A recurrent neural network without chaos. CoRR abs/1612.06212 (2016) - 2015
- [c3]Xavier Bresson, Thomas Laurent, James H. von Brecht:
Enhanced lasso recovery on graph. EUSIPCO 2015: 1501-1505 - [i5]Xavier Bresson, Thomas Laurent, James H. von Brecht:
Enhanced Lasso Recovery on Graph. CoRR abs/1506.05985 (2015) - 2014
- [i4]Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James H. von Brecht:
An Incremental Reseeding Strategy for Clustering. CoRR abs/1406.3837 (2014) - [i3]Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson:
Consistency of Cheeger and Ratio Graph Cuts. CoRR abs/1411.6590 (2014) - 2013
- [j3]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): 2224-2246 (2013) - [c2]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. NIPS 2013: 1421-1429 - [i2]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 abs/1304.4679 (2013) - [i1]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Multiclass Total Variation Clustering. CoRR abs/1306.1185 (2013) - 2012
- [j2]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): 651-681 (2012) - [c1]Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht:
Convergence and Energy Landscape for Cheeger Cut Clustering. NIPS 2012: 1394-1402
2000 – 2009
- 2006
- [j1]Thomas Laurent, Brian Rider, Michael Reed:
Parabolic Behavior of a Hyperbolic Delay Equation. SIAM J. Math. Anal. 38(1): 1-15 (2006)
Coauthor Index
aka: James von Brecht
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