Felipe Llinares-López

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Stochastic Sampling

Association Studies

Efficient Optimization

Subgraph Mining

Top Venues

Publications

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 (2024)
Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
Differentiable Clustering with Perturbed Spanning Forests. NeurIPS (2023)
Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
Differentiable Clustering with Perturbed Spanning Forests. CoRR (2023)
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)
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
Learning Energy Networks with Generalized Fenchel-Young Losses. CoRR (2022)
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
Learning Energy Networks with Generalized Fenchel-Young Losses. NeurIPS (2022)
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
Efficient and Modular Implicit Differentiation. CoRR (2021)
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck
Graph Kernels: State-of-the-Art and Future Challenges. CoRR (2020)
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)
Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt
Wasserstein Weisfeiler-Lehman Graph Kernels. CoRR (2019)
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) (2019)
Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt
Wasserstein Weisfeiler-Lehman Graph Kernels. NeurIPS (2019)
Mahito Sugiyama, M. Elisabetta Ghisu, Felipe Llinares-López, Karsten M. Borgwardt
graphkernels: R and Python packages for graph comparison. Bioinform. 34 (3) (2018)
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) (2017)
Laetitia Papaxanthos, Felipe Llinares-López, Dean A. Bodenham, Karsten M. Borgwardt
Finding significant combinations of features in the presence of categorical covariates. NIPS (2016)
Felipe Llinares-López, Dominik G. Grimm, Dean A. Bodenham, Udo Gieraths, Mahito Sugiyama, Beth Rowan, Karsten M. Borgwardt
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinform. 31 (12) (2015)
Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Karsten M. Borgwardt
Searching for significant patterns in stratified data. CoRR (2015)
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
Significant Subgraph Mining with Multiple Testing Correction. SDM (2015)
Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. KDD (2015)
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
Significant Subgraph Mining with Multiple Testing Correction. CoRR (2014)
Felipe Llinares-López, Matilde Sánchez Fernández, Emilio Parrado-Hernández, Ana García Armada
Interference-aware MIMO precoder design with realistic power constraints. ICC Workshops (2013)