Personal profile
About
Dr. Laurent's interests are in applied mathematics, partial differential equations, machine learning, and data analysis. He received his Ph.D. from Duke University in 2006, and his B.S. from Universite Paris 7, France, in 2000. He joined the LMU faculty in 2013.
Disciplines
- Mathematics
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A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
Liu, N., He, X., Laurent, T., Giovanni, F. D., Bronstein, M. M. & Bresson, X., 2025, In: Proceedings of Machine Learning Research. 267, p. 38598-38622 25 p.Research output: Contribution to journal › Conference article › peer-review
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Geometric deep learning framework for de novo genome assembly
Vrček, L., Bresson, X., Laurent, T., Schmitz, M., Kawaguchi, K. & Šikic, M., Apr 14 2025, In: Genome Research. 35, 4, p. 839-849 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Advancing Graph Convolutional Networks via General Spectral Wavelets
Liu, N., He, X., Laurent, T., Giovanni, F. D., Bronstein, M. M. & Bresson, X., May 22 2024.Research output: Working paper › Preprint
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Feature Collapse
Laurent, T., von Brecht, J. H. & Bresson, X., 2024.Research output: Contribution to conference › Paper › peer-review
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Federated Repair of Deep Neural Networks
Li Calsi, D., Laurent, T., Arcaini, P. & Ishikawa, F., Jul 2024, Proceedings - 2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024. Association for Computing Machinery, Inc, p. 17-24 8 p. (Proceedings - 2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution