Llinares-López, Felipe

10 publications

AISTATS 2025 Implicit Diffusion: Efficient Optimization Through Stochastic Sampling Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet

ICML 2024 Decoding-Time Realignment of Language Models Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

ICMLW 2024 Implicit Diffusion: Efficient Optimization Through Stochastic Sampling Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet

ICMLW 2023 Differentiable Clustering and Partial Fenchel-Young Losses Lawrence Stewart, Francis Bach, Felipe Llinares-López, Quentin Berthet

NeurIPS 2023 Differentiable Clustering with Perturbed Spanning Forests Lawrence Stewart, Francis R. Bach, Felipe Llinares-Lopez, Quentin Berthet

NeurIPS 2022 Efficient and Modular Implicit Differentiation Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-Lopez, Fabian Pedregosa, Jean-Philippe Vert

NeurIPS 2022 Learning Energy Networks with Generalized Fenchel-Young Losses Mathieu Blondel, Felipe Llinares-Lopez, Robert Dadashi, Leonard Hussenot, Matthieu Geist

FnTML 2020 Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck

NeurIPS 2019 Wasserstein Weisfeiler-Lehman Graph Kernels Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten Borgwardt

NeurIPS 2016 Finding Significant Combinations of Features in the Presence of Categorical Covariates Laetitia Papaxanthos, Felipe Llinares-López, Dean Bodenham, Karsten Borgwardt