Felipe Llinares-López

23 papers A* 6A 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Implicit Diffusion: Efficient optimization through stochastic sampling.
AISTATS
Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2024 A* conf
Decoding-time Realignment of Language Models.
ICML
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024 J jnl
Implicit Diffusion: Efficient Optimization through Stochastic Sampling.
CoRR
Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2023 A* conf
Differentiable Clustering with Perturbed Spanning Forests.
NeurIPS
Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2023 J jnl
Differentiable Clustering with Perturbed Spanning Forests.
CoRR
Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2022 A* conf
Efficient and Modular Implicit Differentiation.
NeurIPS
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2022 A* conf
Learning Energy Networks with Generalized Fenchel-Young Losses.
NeurIPS
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
2022 J jnl
Learning Energy Networks with Generalized Fenchel-Young Losses.
CoRR
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
2021 J jnl
Efficient and Modular Implicit Differentiation.
CoRR
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2020 J jnl
Graph Kernels: State-of-the-Art and Future Challenges.
CoRR
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck
2020 J jnl
Graph Kernels: State-of-the-Art and Future Challenges.
Found. Trends Mach. Learn.
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck
2019 J jnl
CASMAP: detection of statistically significant combinations of SNPs in association mapping.
Bioinform.
Felipe Llinares-López, Laetitia Papaxanthos, Damian Roqueiro, Dean A. Bodenham, Karsten M. Borgwardt
2019 A* conf
Wasserstein Weisfeiler-Lehman Graph Kernels.
NeurIPS
Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt
2019 J jnl
Wasserstein Weisfeiler-Lehman Graph Kernels.
CoRR
Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt
2018 J jnl
graphkernels: R and Python packages for graph comparison.
Bioinform.
Mahito Sugiyama, M. Elisabetta Ghisu, Felipe Llinares-López, Karsten M. Borgwardt
2017 J jnl
Genome-wide genetic heterogeneity discovery with categorical covariates.
Bioinform.
Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Damian Roqueiro, COPDGene Investigators, Karsten M. Borgwardt
2016 — conf
Finding significant combinations of features in the presence of categorical covariates.
NIPS
Laetitia Papaxanthos, Felipe Llinares-López, Dean A. Bodenham, Karsten M. Borgwardt
2015 A* conf
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing.
KDD
Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt
2015 J jnl
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits.
Bioinform.
Felipe Llinares-López, Dominik G. Grimm, Dean A. Bodenham, Udo Gieraths, Mahito Sugiyama, Beth Rowan, Karsten M. Borgwardt
2015 J jnl
Searching for significant patterns in stratified data.
CoRR
Felipe Llinares-López, Laetitia Papaxanthos, Dean A. Bodenham, Karsten M. Borgwardt
2015 A conf
Significant Subgraph Mining with Multiple Testing Correction.
SDM
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
2014 J jnl
Significant Subgraph Mining with Multiple Testing Correction.
CoRR
Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt
2013 — conf
Interference-aware MIMO precoder design with realistic power constraints.
ICC Workshops
Felipe Llinares-López, Matilde Sánchez Fernández, Emilio Parrado-Hernández, Ana García Armada