2026 — 8 papers
ICLR 2026 (4)
Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share? —
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa (LASTIG / IGN / Université Gustave Eiffel), Flavian Vasile, Jérémie Mary, Andrew I. Comport (CNRS / I3S / Université Côte d’Azur), Valérie Gouet-Brunet (LASTIG / IGN / Université Gustave Eiffel)
Contextual Multi-Armed Bandits with Minimum Aggregated Revenue Constraints —
Ahmed Ben Yahmed (CREST / Criteo AI Lab), Marc Abeille, Vianney Perchet (CREST / Fairplay / Criteo AI Lab), Hafedh El Ferchichi (CREST / Fairplay)
On the Impact of the Utility in Semivalue-based Data Valuation —
Mélissa Tamine (CREST / Fairplay / Criteo AI Lab), Benjamin Heymann, Maxime Vono, Patrick Loiseau (INRIA / Fairplay)
Learning in Prophet Inequalities with Noisy Observations —
Jung-hun Kim (CREST / Fairplay), Vianney Perchet (CREST / Fairplay / Criteo AI Lab)
AISTATS 2026 (4)
On the Hardness of Reinforcement Learning with Transition Look-Ahead —
Corentin Pla (CREST / Fairplay / Criteo AI Lab), Hugo Richard, Marc Abeille, Vianney Perchet (CREST / Fairplay / Criteo AI Lab)
Sequential Off-Policy Learning with Logarithmic Smoothing —
Maxime Haddouche (ENS Paris / Inria Sierra), Otmane Sakhi
Unmixing Mean Embeddings for Domain Adaptation with Target Label Proportion —
Alain Rakotomamonjy, Maxime Bérar (LITIS – Université de Rouen Normandie), Mokthar Z. Alaya (LMAC – UTC)
Contextual Ranking and Matching: Optimal Regret under LST —
Hafedh El Ferchichi (CREST / Fairplay), Matthieu Lerasle (CREST / Fairplay), Vianney Perchet (CREST / Fairplay / Criteo AI Lab)
2025 — 8 papers
ICML 2025 (1)
Improving Consistency Models with Generator-Augmented Flows — Spotlight —
Thibaut Issenhuth, Sangchul Lee (AI/R Lab, KIST), Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim (AI/R Lab, KIST / Robot Dept., UST), Alain Rakotomamonjy
ICLR 2025 (2)
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder —
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa (LASTIG / IGN / Université Gustave Eiffel), Flavian Vasile, Jérémie Mary, Andrew I. Comport (CNRS / I3S / Université Côte d’Azur), Valérie Gouet-Brunet (LASTIG / IGN / Université Gustave Eiffel)
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation —
Song Duong (Liquid AI), Florian Le Bronnec (ISIR – Sorbonne Université), Alexandre Allauzen (LAMSADE / ESPCI), Vincent Guigue (UMR MIA-PS – AgroParisTech), Alberto Lumbreras, Laure Soulier (ISIR – Sorbonne Université), Patrick Gallinari (Sorbonne Université / Criteo AI Lab)
AISTATS 2025 (3)
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits —
Nicolas Nguyen (University of Tübingen), Imad Aouali (CREST / Criteo AI Lab), András György (Google DeepMind), Claire Vernade (University of Tübingen)
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces —
Imad Aouali (CREST / Criteo AI Lab), Victor-Emmanuel Brunel (CREST), David Rohde, Anna Korba (CREST)
Distribution-Aware Mean Estimation under User-level Local Differential Privacy —
Corentin Pla (CREST / Fairplay / Criteo AI Lab), Maxime Vono, Hugo Richard
TMLR 2025 (2)
RefinedFields: Radiance Fields Refinement for Planar Scene Representations —
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa (LASTIG / IGN / Université Gustave Eiffel), Jérémie Mary, Valérie Gouet-Brunet (LASTIG / IGN / Université Gustave Eiffel)
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance —
Ilana Sebag, Muni Sreenivas Pydi (LAMSADE – PSL University), Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell (Sigma Nova), Jamal Atif (LAMSADE – PSL University), Alexandre Allauzen (LAMSADE / ESPCI)