Program
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 |
|
|
