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Thomas Laurent
Thomas Laurent
Professor of Mathematics, Loyola Marymount University
Bestätigte E-Mail-Adresse bei lmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Benchmarking graph neural networks
VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson
Mar, 2020
4942020
Global-in-time weak measure solutions and finite-time aggregation for nonlocal interaction equations
JA Carrillo, M DiFrancesco, A Figalli, T Laurent, D Slepčev
3002011
Blow-up in multidimensional aggregation equations with mildly singular interaction kernels
AL Bertozzi, JA Carrillo, T Laurent
Nonlinearity 22 (3), 683, 2009
2352009
Residual gated graph convnets
X Bresson, T Laurent
arXiv preprint arXiv:1711.07553, 2017
2282017
An efficient graph convolutional network technique for the travelling salesman problem
CK Joshi, T Laurent, X Bresson
arXiv preprint arXiv:1906.01227, 2019
2112019
Dimensionality of local minimizers of the interaction energy
D Balagué, JA Carrillo, T Laurent, G Raoul
Archive for Rational Mechanics and Analysis 209, 1055-1088, 2013
1572013
Lp theory for the multidimensional aggregation equation
AL Bertozzi, T Laurent, J Rosado
Communications on Pure and Applied Mathematics 64 (1), 45-83, 2011
1572011
Finite-Time Blow-up of Solutions of an Aggregation Equation in R n
AL Bertozzi, T Laurent
Communications in mathematical physics 274, 717-735, 2007
1392007
Deep linear networks with arbitrary loss: All local minima are global
T Laurent, J Brecht
International conference on machine learning, 2902-2907, 2018
1322018
Local and global existence for an aggregation equation
T Laurent
Communications in Partial Differential Equations 32 (12), 1941-1964, 2007
1202007
Nonlocal interactions by repulsive–attractive potentials: radial ins/stability
D Balagué, JA Carrillo, T Laurent, G Raoul
Physica D: Nonlinear Phenomena 260, 5-25, 2013
1112013
Aggregation and spreading via the Newtonian potential: The dynamics of patch solutions
A Bertozzi, T Laurent, F Leger
Mathematical Models and Methods in Applied Sciences 22, 2012
98*2012
Multiclass total variation clustering
X Bresson, T Laurent, D Uminsky, J Von Brecht
Advances in Neural Information Processing Systems 26, 2013
962013
Consistency of cheeger and ratio graph cuts
NG Trillos, D Slepcev, J von Brecht, T Laurent, X Bresson
arXiv preprint arXiv:1411.6590, 2014
852014
Convergence and energy landscape for Cheeger cut clustering
X Bresson, T Laurent, D Uminsky, J Brecht
Advances in Neural Information Processing Systems 25, 2012
672012
A recurrent neural network without chaos
T Laurent, J von Brecht
arXiv preprint arXiv:1612.06212, 2016
592016
Learning TSP requires rethinking generalization
CK Joshi, Q Cappart, LM Rousseau, T Laurent
arXiv preprint arXiv:2006.07054, 2020
542020
Graph neural networks with learnable structural and positional representations
VP Dwivedi, AT Luu, T Laurent, Y Bengio, X Bresson
arXiv preprint arXiv:2110.07875, 2021
522021
A two-step graph convolutional decoder for molecule generation
X Bresson, T Laurent
arXiv preprint arXiv:1906.03412, 2019
522019
A method based on total variation for network modularity optimization using the MBO scheme
H Hu, T Laurent, MA Porter, AL Bertozzi
SIAM Journal on Applied Mathematics 73 (6), 2224-2246, 2013
502013
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