Talks
-
Joint Learning of Energy-based Models and their Partition Function.
[slides]
MFG, OT & ML Workshop
(link),
June 2025.
- Differentiable and Sparse Top-k Operators: a Convex Analysis Perspective.
[slides]
Differentiable Almost Everything Workshop at ICML 2023, Honolulu, July 2023.
- Learning Energy Networks with Generalized Fenchel-Young Losses.
NeurIPS@Paris, November 2022.
- Learning Energy Networks with Generalized Fenchel-Young Losses.
[slides]
SMAI-MODE workshop, Limoges (France), June 2022.
- Efficient and Modular Implicit Differentiation.
[slides]
Seminar in Mathematics, Physics & Machine Learning (U. Lisboa), June 2021.
Hosted by Mario Figuierdo, Andre Martins.
École Normale Supérieure seminar, June 2021.
Hosted by Pierre Ablin, Gabriel Peyré.
- Fast Differentiable Sorting and Ranking.
[slides]
Optimization for Machine Learning, March 2020, CIRM, Luminy.
- Structured Prediction with Projection Oracles.
[slides]
Google, June 2019.
Hosted by Marco Cuturi.
- Structured Attention & Differentiable Dynamic Programming.
[slides]
The University of Tokyo, January 2019.
Hosted by Taiji Suzuki.
- Smoothing/Regularization Techniques for Probabilistic and Structured Classification.
NeuroSpin (CEA), Saclay, June 2018.
Hosted by Bertrand Thirion and Gael Varoquaux.
- Smoothing/Regularization Techniques for Probabilistic and Structured Classification.
[slides]
École Normale Supérieure, Paris, June 2018.
Hosted by Gabriel Peyré, Nicolas Keriven.
- Soft-DTW: a Differentiable Loss Function for Time-Series. [slides]
NIPS Time Series workshop, December 2017 (Long Beach).
- A Regularized Framework for Sparse and Structured Neural Attention.
France-Japan Machine Learning workshop, September 2017 (ENS, Paris).
- Recent advances on polynomial networks and factorization machines.
[slides]
Probabilistic Graphical Model Workshop: Structure, Sparsity and
High-dimensionality, February 2017 (ISM, Tokyo).
- Higher-order Factorization Machines.
Institute of Statistical Mathematics (ISM) seminar, October 2016.
Hosted by Motonobu Kanagawa.
- Higher-order Factorization Machines.
ERATO seminar, October 2016 (NII, Tokyo).
Hosted by Satoshi Hara.
- Higher-order Factorization Machines.
[slides]
STAIR seminar, September 2016.
Hosted by Yuya Yoshikawa.
- Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
[slides]
ERATO Kanshasai, August 2016 (NII Tokyo).
- Convex Factorization Machines.
MIRU, August 2016 (Hamamatsu, 2016).
- Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
Nagoya Institute of Technology, August 2016.
Hosted by Ichiro Takeuchi.
- Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
Kyoto University, July 2016.
Hosted by Marco Cuturi.
- Convex Factorization Machines. [slides]
University of Cambridge, September 2015.
Hosted by Zoubin Ghahramani.
- Non-negative matrix factorization. [slides]
Kyoto University, October 2014.
Hosted by Marco Cuturi.
- Learning Non-Linear Classifiers with Sparsity-Promoting Norms.
Tokyo Institute of Technology, July 2012.
Hosted by Masashi Sugiyama.