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Thomas Laurent
Thomas Laurent
Professor of Mathematics, Loyola Marymount University
Verified email at lmu.edu - Homepage
Title
Cited by
Cited by
Year
Benchmarking graph neural networks
VP Dwivedi, CK Joshi, T Laurent, Y Bengio, X Bresson
arXiv preprint arXiv:2003.00982, 2020
4512020
Global-in-time weak measure solutions and finite-time aggregation for nonlocal interaction equations
JA Carrillo, M DiFrancesco, A Figalli, T Laurent, D Slepčev
Duke Mathematical Journal 156 (2), 229-271, 2011
3032011
Blow-up in multidimensional aggregation equations with mildly singular interaction kernels
AL Bertozzi, JA Carrillo, T Laurent
Nonlinearity 22 (3), 683, 2009
2332009
Residual gated graph convnets
X Bresson, T Laurent
arXiv preprint arXiv:1711.07553, 2017
2112017
An efficient graph convolutional network technique for the travelling salesman problem
CK Joshi, T Laurent, X Bresson
arXiv preprint arXiv:1906.01227, 2019
1902019
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
Dimensionality of local minimizers of the interaction energy
D Balagué, JA Carrillo, T Laurent, G Raoul
Archive for Rational Mechanics and Analysis 209 (3), 1055-1088, 2013
1542013
Finite-time blow-up of solutions of an aggregation equation in R n
AL Bertozzi, T Laurent
Communications in mathematical physics 274 (3), 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
127*2018
Local and global existence for an aggregation equation
T Laurent
Communications in Partial Differential Equations 32 (12), 1941-1964, 2007
1192007
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
1102013
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
96*2012
Multiclass total variation clustering
X Bresson, T Laurent, D Uminsky, J Von Brecht
Advances in Neural Information Processing Systems 26, 2013
922013
Consistency of cheeger and ratio graph cuts
NG Trillos, D Slepcev, J von Brecht, T Laurent, X Bresson
arXiv preprint arXiv:1411.6590, 2014
812014
Convergence and energy landscape for Cheeger cut clustering
X Bresson, T Laurent, D Uminsky, J Brecht
Advances in Neural Information Processing Systems 25, 2012
662012
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
532020
A two-step graph convolutional decoder for molecule generation
X Bresson, T Laurent
arXiv preprint arXiv:1906.03412, 2019
502019
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
492013
The multilinear structure of ReLU networks
T Laurent, J Brecht
International conference on machine learning, 2908-2916, 2018
452018
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