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Books and Theses
- 2020
[b1]Laetitia Papaxanthos:
Machine Learning for Interaction Discovery in Genetics and Bioengineering. ETH Zurich, Zürich, Switzerland, 2020
Journal Articles
- 2022
- [j4]Tim Kucera
, Matteo Togninalli, Laetitia Meng-Papaxanthos:
Conditional generative modeling for de novo protein design with hierarchical functions. Bioinform. 38(13): 3454-3461 (2022) - [j3]Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning. J. Comput. Biol. 29(11): 1198-1212 (2022) - 2019
- [j2]Felipe Llinares-López, Laetitia Papaxanthos, Damian Roqueiro, Dean A. Bodenham, Karsten M. Borgwardt:
CASMAP: detection of statistically significant combinations of SNPs in association mapping. Bioinform. 35(15): 2680-2682 (2019) - 2017
- [j1]Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Damian Roqueiro, COPDGene Investigators, Karsten M. Borgwardt:
Genome-wide genetic heterogeneity discovery with categorical covariates. Bioinform. 33(12): 1820-1828 (2017)
Conference and Workshop Papers
- 2022
- [c5]Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi:
Proximal Optimal Transport Modeling of Population Dynamics. AISTATS 2022: 6511-6528 - [c4]Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble:
Semi-supervised Single-Cell Cross-modality Translation Using Polarbear. RECOMB 2022: 20-35 - 2019
- [c3]Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. ACL (1) 2019: 3231-3241 - 2016
- [c2]Laetitia Papaxanthos, Felipe Llinares-López, Dean A. Bodenham, Karsten M. Borgwardt:
Finding significant combinations of features in the presence of categorical covariates. NIPS 2016: 2271-2279 - 2015
- [c1]Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt:
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. KDD 2015: 725-734
Informal and Other Publications
- 2022
- [i4]Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul:
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. CoRR abs/2201.12324 (2022) - 2021
- [i3]Charlotte Bunne, Laetitia Meng-Papaxanthos, Andreas Krause, Marco Cuturi:
JKOnet: Proximal Optimal Transport Modeling of Population Dynamics. CoRR abs/2106.06345 (2021) - 2019
- [i2]Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. CoRR abs/1902.00913 (2019) - 2015
- [i1]Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Karsten M. Borgwardt:
Searching for significant patterns in stratified data. CoRR abs/1508.05803 (2015)
Coauthor Index
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