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Sunday, November 16, 2025
| Time | Event | |
| 18:00 - 19:00 | Arrivals - Check-in at Paul Lagrange center | |
| 19:30 - 20:30 | Dinner |
Monday, November 17, 2025
| Time | Event | |
| 07:30 - 08:30 | Breakfast | |
| 09:15 - 09:45 | Welcome speech | |
| 09:45 - 10:45 | The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (1/3) (Conference room) - Rafael Pinot | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 12:15 | Convex Optimization and First-Order Algorithms for Data Science (1/3) (Conference room) - Adrien Taylor | |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 15:55 | Free time | |
| 15:55 - 16:45 | Approximating Optimal Transport plans with Sliced-Wasserstein (Conference room) - Laetitia Chapel | |
| 16:45 - 17:15 | Coffee break | |
| 17:15 - 17:45 | Speed presentation from participants (Conference room) | |
| 17:45 - 19:00 | CT - Session 1 (Conference room) | |
| 17:45 - 18:10 | › Continuous sparse estimation of a Gaussian Mixture Model with unknown covariances - Romane Giard, Institut Camille Jordan | |
| 18:10 - 18:35 | › UNHaP : Unmixing Noise from Hawkes Processes - Virginie Loison, Modèles et inférence pour les données de Neuroimagerie, Marqueurs cardiovasculaires en situation de stress | |
| 18:35 - 19:00 | › Optimal transport with Heterogenously Missing Data - Linus Bleistein, Inria de Paris, Artificial Intelligence Laboratory [EPFL], Université Paris Dauphine-PSL | |
| 19:30 - 20:30 | Dinner |
Tuesday, November 18, 2025
| Time | Event | |
| 07:30 - 08:30 | Breakfast | |
| 08:45 - 09:45 | The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (2/3) (Conference room) - Rafael Pinot | |
| 09:45 - 10:45 | Convex Optimization and First-Order Algorithms for Data Science (2/3) - Adrien Taylor | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 12:15 | Transport based generative modeling and applications to sampling (1/3) (Conference room) - Marylou Gabrié | |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 15:30 | Free time | |
| 15:30 - 16:45 | CT - Session 2 (Conference room) | |
| 15:30 - 15:55 | › When to Forget? Complexity Trade-offs in Machine Unlearning - Martin Van Waerebeke, Centre Inria de Paris | |
| 15:55 - 16:20 | › Consensus Monte Carlo for mixtures of categorical distributions - Julie Fendler, MRC Biostatistics Unit, University of Cambridge | |
| 16:20 - 16:45 | › Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games - Antonio Ocello, ENSAE | |
| 16:45 - 17:15 | Coffee break | |
| 17:15 - 18:05 | Optimization bilevel et unrolling (Conference room) - Thomas Moreau | |
| 18:10 - 19:00 | Machine learning and numerical simulations. Interplay between data and physical models. (Conference room) - Mathilde Mougeot | |
| 19:30 - 20:30 | Dinner |
Wednesday, November 19, 2025
| Time | Event | |
| 07:30 - 08:30 | Breakfast | |
| 08:45 - 09:45 | The Marauders Map of adversarial examples: State of knowledge on evasion attacks in machine learning (3/3) (Conference room) - Rafael Pinot | |
| 09:45 - 10:45 | Convex Optimization and First-Order Algorithms for Data Science (3/3) (Conference room) - Adrien Taylor | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 12:15 | Conformal prediction - from a general introduction towards conditional guarantees (1/3) (Conference room) - Aymeric Dieuleveut | |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 15:30 | Free time | |
| 15:30 - 16:45 | CT - Session 3 | |
| 15:30 - 15:55 | › Approche bayésienne pour évaluer l'incertitude et la robustesse d'indicateurs de graphes en neurosciences - Alice Chevaux, INRIA | |
| 15:55 - 16:20 | › Iterated forward scheme to construct proposals for sequential Monte Carlo algorithms - Sylvain Procope-Mamert, Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] | |
| 16:20 - 16:45 | › PAC-Bayesian Reconstruction Guarantees for Variational Autoencoders for Time Series - Chloé Hashimoto-Cullen, Laboratoire de Probabilités, Statistique et Modélisation | |
| 17:00 - 19:15 | Poster session | |
| 17:00 - 19:15 | › Benign landscape for Burer-Monteiro factorizations of MaxCut-type semidefinite programs - Faniriana Rakoto Endor, CEntre de REcherches en MAthématiques de la DEcision | |
| 17:00 - 19:15 | › Validation of Computer Codes via Mixture Model Estimation - Negar Soleimani, AgroParisTech | |
| 17:00 - 19:15 | › Variational Inference with Mixture of Isotropic Gaussians - Marguerite Petit Talamon, Centre de Recherche en Économie et Statistique | |
| 17:00 - 19:15 | › Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence - Clémentine Chazal, Centre de Recherche en Économie et Statistique | |
| 17:00 - 19:15 | › Gradient-free variational inference within exponential families using least squares regression with applications on discrete distributions and likelihood-free models - Le Fay Yvan, Centre de Recherche en Économie et Statistique | |
| 17:00 - 19:15 | › Understanding the bias induced by Local Differential Privacy - Jean Dufraiche, MAGNET (Machine Learning in Information Networks) | |
| 17:00 - 19:15 | › TAMIS: Tailored Membership Inference Attacks on Synthetic Data - Paul Andrey, MAGNET (Machine Learning in Information Networks) | |
| 17:00 - 19:15 | › Growing Neural Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally - Théo Rudkiewicz, TAU team | |
| 17:00 - 19:15 | › Joint estimation of bipartite network collections. Application to plant-pollinator networks - Louis LACOSTE, Mathématiques et Informatique Appliquées | |
| 17:00 - 19:15 | › Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring - Abdoulaye SAKHO, Laboratoire de Probabilités, Statistique et Modélisation, Artefact [Paris] | |
| 17:00 - 19:15 | › Hallucinations in statistical inverse problems: discussion, characterization and exploration in PET imaging - Ramy Merabet, Centre Borelli | |
| 17:00 - 19:15 | › Streaming Federated Learning with Markovian Data - Tan-Khiem HUYNH, Centre Inria de Lyon | |
| 17:00 - 19:15 | › Mask-Conditional Coverage for General Missing Data Mechanisms - Jiarong FAN, Université Paris Saclay | |
| 17:00 - 19:15 | › Weakly supervised learning methods for the classification of patients from flow cytometry data - Pierre-André Mikem, Laboratoire de Mathématiques d'Orsay, Metafora biosystems | |
| 17:00 - 19:15 | › Group-Specific Thresholding to Preserve Fairness of Stochastic Classifiers - Shreya Venugopal, Machine Learning in Information Networks | |
| 17:00 - 19:15 | › Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling - Vincent Auriau, Mathématiques et Informatique pour la Complexité et les Systèmes, Artefact Research Center | |
| 17:00 - 19:15 | › Time Series Motif Discovery: A Comprehensive Evaluation - Valerio Guerrini, CB - Centre Borelli - UMR 9010 | |
| 17:00 - 19:15 | › Set To Be Fair: Set-Valued Classification Under Fairness Constraints - Eyal Cohen, Laboratoire de Probabilités, Statistique et Modélisation, Mathématiques Appliquées Paris 5, Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) | |
| 19:30 - 20:30 | Dinner |
Thursday, November 20, 2025
| Time | Event | |
| 07:30 - 08:30 | Breakfast | |
| 08:45 - 09:45 | Conformal prediction - from a general introduction towards conditional guarantees (2/3) (Conference room) - Aymeric Dieuleveut | |
| 09:45 - 10:45 | Transport based generative modeling and applications to sampling (2/3) (Conference room) - Marylou Gabrié | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 12:15 | CT - Session 4 (Conference room) | |
| 11:15 - 11:45 | › Estimating ratios of normalizing constants using stochastic approximation: the SARIS algorithm - Charlotte Baey, Université de Lille | |
| 11:45 - 12:15 | › Bayesian deep learning, overview and challenges - Julyan Arbel, INRIA | |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 15:30 | Free time | |
| 15:30 - 16:45 | CT - Session 5 (Conference room) | |
| 15:30 - 15:55 | › Equivariant U-Nets for effective image deblurring: design principles and challenges - Jérémy Scanvic, Laboratoire de Physique, ENS de Lyon, Foxstream | |
| 15:55 - 16:20 | › Conditional Sampling with Score-Based Models via Particle Methods - Stanislas Strasman, Laboratoire de Probabilités, Statistique et Modélisation | |
| 16:20 - 16:45 | › Selecting informative conformal prediction sets - Ulysse Gazin, Laboratoire de Probabilités, Statistique et Modélisation | |
| 16:45 - 17:15 | Coffee break | |
| 17:15 - 18:05 | Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data. (Conference room) - Gabriel Victorino-Cardoso | |
| 18:10 - 19:00 | TBA (Conference room) - Aurélien Bellet | |
| 19:30 - 20:30 | Dinner |
Friday, November 21, 2025
| Time | Event | |
| 07:30 - 08:30 | Breakfast | |
| 08:45 - 09:45 | Conformal prediction - from a general introduction towards conditional guarantees (3/3) (Conference room) - Aymeric Dieuleveut | |
| 09:45 - 10:45 | Transport based generative modeling and applications to sampling (3/3) (Conference room) - Marylou Gabrié | |
| 10:45 - 11:15 | Coffee break | |
| 11:15 - 11:45 | Awards & closing speech - Awards & closing speech | |
| 12:30 - 13:30 | Lunch |
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