Program

Monday

09:00-09:30: Registration & Opening remarks
09:30-10:30: Russel Caflisch
- An Adjoint Method for Optimization of the Boltzmann Equation
10:30-11:00: Coffee Break
11:00-11:40: Jingwei Hu
- Structure-Preserving Particle Method for Collisional Plasmas
11:40-12:20: Giacomo Dimarco
- Instantaneous Control Strategies for Magnetically Confined Fusion Plasma
12:20-14:30: Lunch
14:30-15:30: Raul Tempone
- From Stochastic Optimal Control to Sampling: Particles, Projections, and Multilevel Flows
15:30.16:00: Coffee Break
16:00-16:40: Abdul Lateef Haji Ali
- Weak and Strong Convergence of McKean–Vlasov Particle Approximations via Classical Stochastic Analysis
16:40-17:20: Hossein Gorji
- When samples correlate symmetrically: The case of orthogonal coupling dynamics

Tuesday

09:00-10:00: Youssef Marzouk
- On the design of dynamic measure transport for sampling and quantization
10:00.10:30: Coffee Break
10:30-11:10: Olivier Zahm
- Optimal Riemannian Metric for Poincaré Inequalities and How to Ideally Precondition Langevin Dynamics
11:10-11:50: Clarice Poon
- Inverse optimal transport and related problem
11:50-12:30: Denis Belomestny
- Approximaton Complexity of the Schrödinger Bridge Problem
12:30-14:30: Lunch
14:30-15:30: Grigorios Pavliotis
- Optimizing Langevin dynamics for sampling
15:30-15:40: Short Break
15:40-16:00: Poster pitch
16:00-18:00: Poster session & apero

Wednesday

09:00-10:00: Marylou Gabrié
- Sampling multimodal distributions by denoising
10:00.10:30: Coffee Break
10:30-11:10: Ya-Ping Hsieh
- When Scores Learn Geometry: Sharp Rate Separation under the Manifold Hypothesis
11:10-11:50: Lenka Zdeborová
- A Theoretical Perspective on Hardness of Sampling and Learning from Samples in High Dimensions
11:50-12:30: Jia-Jie Zhu
- Gradient Flows for Sampling: Two New Machine Learning applications
12:30-14:30: Lunch
14:30-15:30: Sebastian Reich
- McKean-Pontryagin minimum principle for optimal control and sampling
15:30-16:00: Coffe Break
16:00-16:40: Björn Sprungk
- Metropolis-Adjusted Interacting Particle Sampling
16:40-17:20: Rishabh Gvalani
- Random dynamical systems for McKean–Vlasov SDEs and the ensemble Kalman sampler
19:00-22:00: Dinner

Thursday

09:00-10:00: Lorenzo Pareschi
- From Superlinear Drift to Swarm Jumps: Advances in Consensus-Based Particle Optimization
10:00.10:30: Coffee Break
10:30-11:10: Tony Lelièvre
- Gradient Flows and Adaptive Biasing Techniques
11:10-11:50: Jakub Skrzeczkowski
- The Stein-log-Sobolev inequality and the exponential rate of convergence for the continuous Stein variational gradient descent method
11:50-12:30: Austin Stromme
- On the implicit regularization of Langevin dynamics with projected noise
12:30-14:30: Lunch