Climate, Environment & The Universe
Health, Medicine & Biology
Mathematics, Computer Science & Robotics
Expertise
Data analysis
Deep learning
Generative models
Interpretability
Machine learning
Mathematical models
Selected publications
J. Trost, J. Haag, D. Höhler, L. Jacob, A. Stamatakis, and B. Boussau. Simulations of Sequence Evolution: How (Un)realistic They Are and Why. Molecular Biology and Evolution, 41(1):msad277, 2023
A. Villié, P. Veber, Y. D. Castro, and L. Jacob. Neural networks beyond explainability: Selective inference for sequence motifs. Transactions on Machine Learning Research, 2023
L. Nesterenko, B. Boussau, and L. Jacob. Phyloformer: towards fast and accurate phylogeny estimation with self-attention networks. bioRxiv, 2022
H. Roux de Bézieux, L. Lima, F. Perraudeau, A. Mary, S. Dudoit, and L. Jacob. CALDERA: finding all significant de bruijn subgraphs for bacterial GWAS. Bioinformatics, 38, 2022
D. Chen, L. Jacob, and J. Mairal. Convolutional kernel networks for graph-structured data. In Proceedings of the 37th International Conference on Machine Learning, pages 1576–1586, 2020