Poster Session & Reception
Date and Time:
Tuesday, September 27, 2022 - 4:15pm to 6:00pm
Location:
Fields Institute, Room 230
Abstract:
- Matthieu Darcy, California Institute of Technology, "One-Shot Learning of Stochastic Differential Equations with Gaussian Processes"
- Niclas Götting, University of Bremen, "Exploring Coherent Quantum Systems as a Platform for Reservoir Computers"
- Gevik Grigorian, University College London, "Application of Grey Box Models for Time-Series Predictions of Biomedical Signals"
- Aamal Hussain, Imperial College London, "Online Learning with Bounded Rationality: Convergence and Optimality"
- Isao Ishikawa, Ehime University, "Dynamic Structure Estimation from Bandit Feedback"
- Avinash Karamchandani, University of Arizona, "Phase Reduction with Memory"
- Victoria Klein, Imperial College London, Title TBA
- Quanjun Lang, Johns Hopkins University, "Learning Interaction Kernels in Mean-Field Equations of 1st-Order Systems of Interacting Particles"
- Jonghyeon Lee, "Kernel Methods for Forecasting Irregularly Sampled Time Series"
- Matthew Levine, California Institute of Technology, "Data Assimilation and Neural ODEs for Learning Hybrid and Latent Dynamics"
- Alec Linot, University of Wisconsin-Madison, "Stabilized Neural ODEs for Long-Time Forecasting and Control of Chaotic Systems"
- Yingdong Lu, IBM T.J. Watson Research Center, "Convergence of Hamiltonian Monte Carlo (HMC) and Its Variations"
- Jared McBride, University of Arizona, "A Comparison of Spectral Estimation Methods for the Analysis of Chaotic and Stochastic Dynamical Systems"
- William Redman, University of California, Santa Barbara, Title TBA
- Cameron Thieme, Rutgers University, "Conditioned Weiner Processes as Nonlinearities: A Rigorous Probabilistic Analysis of Dynamics"
- Riccardo Valperga, University of Amsterdam, "Generative Modelling by Learning the Stationary Distribution of a Markov Chain"
