Stochastics

Whitham Theory for Large Deviations by Eldad Bettelheim

Jump Processes as Generalized Gradient A Gentle Introduction to... (Lecture 3)  by Swarnendu Sil

Hydrodynamic Limit of the Directed Exclusion Process by Ellen Saada

Continuous Box Ball Systems by Pablo Ferrari

Jump Processes as Generalized Gradient Flows (Lecture 4) by Oliver Tse

Jump Processes as Generalized Gradient Flows (Lecture 3)  by Oliver Tse

Jump Processes as Generalized Gradient Flows (Lecture 1) by Oliver Tse

A Gentle Introduction to Large Deviations (Lecture 2) by Parthanil Roy

Richard Kenyon - Random webs - IPAM at UCLA

Lec 44: Markov Chains

Prof. Peter Koltai | Takens meets Koopman: Linear least squares prediction of nonlinear time series

Prof. Cecilia Gonzalez-Tokman | Multiplicative Ergodic Theory as a Spectral Tool for Random Dynam...

The Linearly Edge Reinforced Random Walk (ERRW) on Z by Priyadarshini V

Yuzhu Shi | Transition Geometry under Gaussian and Levy Title: Perturbations: Time Coupling and T...

Prof. Jinqiao Duan | Critical transitions in stochastic dynamical systems: from connecting orbits...

Prof. Ilya Pavlyukevich | How to simulate Lévy flights in a steep potential

Prof. Ilya Pavlyukevich | Stochastic Energy-Balance Model with a moving ice line

Sampling from spherical spin glasses: diffusions and simulated annealing

Rare event analysis via stochastic optimal control

Functional Stochastic Localization

Windowed thinning and query complexity for the bouncy particle and Zigzag samplers

Maximilian Engel: Random Dynamical Systems in Deep Neural Networks

James Melbourne

Grigorios A Pavliotis

AI@UCI Workshop on Markov Chains!!

Jinqiao Duan: Tipping Dynamics in Stochastic Dynamical Systems

Jeroen Lamb: Learning random dynamical systems

Shirshendu Ganguly - Polymer models in critical environments - IPAM at UCLA

Catherine Wolfram - Brownian bubble tea - IPAM at UCLA

Andrew Ilersich - Learning Stochastic Multiscale Models of Spatiotemporal Systems

Prof. Vincent Beffara | Schramm-Loewner Evolution 1

Jonathan Miller | Gaussian Free Field 1

Lecture 5: Probability Theory (cont.); Stochastic Processes I

Lecture 24: Stochastic Calculus

Lecture 14: Stochastic Processes II

Ivan Corwin: Extreme Diffusion (October 17, 2025)

Sebastien Roch: Complex Discrete Probability Models in Evolutionary Biology...(April 4, 2025)

"Convergence des modèles de diffusion" par Judith Rousseau

"Convergence of diffusion models" by Judith Rousseau

Dr. William Vickery - Miércoles 13 de agosto - 12:30 hr.

The Strange Math That Predicts (Almost) Anything