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Felipe Llinares-López
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2020 – today
- 2024
- [c9]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. ICML 2024 - [i11]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. CoRR abs/2402.02992 (2024) - [i10]Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel:
Direct Language Model Alignment from Online AI Feedback. CoRR abs/2402.04792 (2024) - [i9]Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet:
Implicit Diffusion: Efficient Optimization through Stochastic Sampling. CoRR abs/2402.05468 (2024) - 2023
- [c8]Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet:
Differentiable Clustering with Perturbed Spanning Forests. NeurIPS 2023 - [i8]Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet:
Differentiable Clustering with Perturbed Spanning Forests. CoRR abs/2305.16358 (2023) - 2022
- [c7]Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. NeurIPS 2022 - [c6]Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist:
Learning Energy Networks with Generalized Fenchel-Young Losses. NeurIPS 2022 - [i7]Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist:
Learning Energy Networks with Generalized Fenchel-Young Losses. CoRR abs/2205.09589 (2022) - 2021
- [i6]Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. CoRR abs/2105.15183 (2021) - 2020
- [j5]Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck
:
Graph Kernels: State-of-the-Art and Future Challenges. Found. Trends Mach. Learn. 13(5-6) (2020) - [i5]Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck:
Graph Kernels: State-of-the-Art and Future Challenges. CoRR abs/2011.03854 (2020)
2010 – 2019
- 2019
- [j4]Felipe Llinares-López, Laetitia Papaxanthos, Damian Roqueiro
CASMAP: detection of statistically significant combinations of SNPs in association mapping. Bioinform. 35(15): 2680-2682 (2019) - [c5]Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt:
Wasserstein Weisfeiler-Lehman Graph Kernels. NeurIPS 2019: 6436-6446 - [i4]Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck
Wasserstein Weisfeiler-Lehman Graph Kernels. CoRR abs/1906.01277 (2019) - 2018
- [j3]Mahito Sugiyama
graphkernels: R and Python packages for graph comparison. Bioinform. 34(3): 530-532 (2018) - 2017
- [j2]Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Damian Roqueiro
Genome-wide genetic heterogeneity discovery with categorical covariates. Bioinform. 33(12): 1820-1828 (2017) - 2016
- [c4]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
- [j1]Felipe Llinares-López, Dominik G. Grimm
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinform. 31(12): 240-249 (2015) - [c3]Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. KDD 2015: 725-734 - [c2]Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg
Significant Subgraph Mining with Multiple Testing Correction. SDM 2015: 37-45 - [i3]Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Karsten M. Borgwardt:
Searching for significant patterns in stratified data. CoRR abs/1508.05803 (2015) - 2014
- [i2]Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt:
Significant Subgraph Mining with Multiple Testing Correction. CoRR abs/1407.0316 (2014) - [i1]Felipe Llinares, Mahito Sugiyama, Karsten M. Borgwardt:
Identifying Higher-order Combinations of Binary Features. CoRR abs/1407.1176 (2014) - 2013
- [c1]Felipe Llinares-López, Matilde Sánchez Fernández
Interference-aware MIMO precoder design with realistic power constraints. ICC Workshops 2013: 164-168
Coauthor Index
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