A Survey on Metric Learning for Feature Vectors and Structured Data

Aurélien Bellet, Amaury Habrard, Marc Sebban

On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement

Baptiste Mathevon, Farah Cherfaoui, Amaury Habrard +1

A survey on domain adaptation theory: learning bounds and theoretical guarantees

Ievgen Redko, Emilie Morvant, Amaury Habrard +2

Photonic Learning in Ultrafast Laser-Induced Complexity

Fayad Ali Banna, Eduardo Brandao, Anthony Nakhoul +3

The paper investigates how ultrafast laser pulses create nanoscale surface patterns that act as a structural memory, enabling the material to adapt its morphology and optical respo…

Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

Subspace Alignment For Domain Adaptation

Basura Fernando, Amaury Habrard, Marc Sebban +1

Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks

Antoine Caradot, Rémi Emonet, Amaury Habrard +2

Similarity Learning for Provably Accurate Sparse Linear Classification

Aurelien Bellet, Amaury Habrard, Marc Sebban

Similarity Learning for Time Series Classification

Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard +1

Metric Learning from Imbalanced Data

Léo Gautheron, Emilie Morvant, Amaury Habrard +1

Learning complexity to guide light-induced self-organized nanopatterns

Eduardo Brandao, Anthony Nakhoul, Stefan Duffner +7

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Rémi Viola, Rémi Emonet, Amaury Habrard +3

Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels

Antoine Caradot, Rémi Emonet, Amaury Habrard +2

Algorithmic Robustness for Learning via $(\hat{I}\mu ,{\hat{I}}^3,\ddot{I}„)$-Good Similarity Functions

Maria-Irina Nicolae, Marc Sebban, Amaury Habrard +2

Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data

Fayad Ali Banna, Antoine Caradot, Eduardo Brandao +3

Combining Feature and Prototype Pruning by Uncertainty Minimization

Marc Sebban, Richard Nock

Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting

Léo Gautheron, Pascal Germain, Amaury Habrard +3

Theoretical Analysis of Domain Adaptation with Optimal Transport

Ievgen Redko, Amaury Habrard, Marc Sebban

Fast Multiscale Diffusion on Graphs

Sibylle Marcotte, Amélie Barbe, Rémi Gribonval +4

L${}^3$-SVMs: Landmarks-based Linear Local Support Vectors Machines

Valentina Zantedeschi, Rémi Emonet, Marc Sebban