Spring 2023 Schedule

1/20:
Note the special date and Room!
(Host:Michael)
Govind Menon, Brown University
Stochastic Nash evolution
1/25:
(Host:Franziska/Jon)
Anuj Kumar, UC Santa Cruz
Application of branching flows to optimal scalar transport and a result concerning the nonuniqueness of trajectories
2/1:
(Host:Lin)
Jin-peng Liu, UC Berkeley
Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
2/8:
(Host:Michael)
Zhiyan Ding, UC Berkeley
Mean-field analysis of interacting particle system and overparameterization of neural networks
2/15:No seminar this week.
2/22:
(Host:Michael)
Michael Albergo, New York University
Stochastic Interpolants for Generative Modeling, with Applications in MCMC
3/1:
(Host:Lin)
Xiantao Li, Penn State University
Efficient algorithms for quantum optimal control problems
3/8:
(Host:Michael)
Julian Urban, MIT
Fredholm inversion with Gaussian processes
3/15:
(Host:Franziska)
Fanhui Xu, Harvard University
Solvability of the stochastic Navier-Stokes equations with an Ito noise
3/17:
Please note the special date and room (Evans 740)!
(Host:Sunny/Di)
Aleksandar Donev, Courant Institute
Hydrodynamics and rheology of fluctuating, semiflexible, inextensible, and slender filaments in Stokes flow
3/22:
(Host:Lin/Di)
Chi-Fang Chen, Caltech
Sparse random Hamiltonians are quantumly easy
3/29:No seminar. Happy Spring Recess.
4/5:
(Host:Franziska)
Yangwen Zhang, Carnegie Mellon University
Analysis and numerical approximation of optimal mixing via fluid flows
4/12:
(Host:Michael)
Sandeep Sharma, University of Colorado, Boulder.
Algorithmic Improvements in Density Functional Theory and Quantum Monte Carlo
4/26:
(Host:Michael)
Uros Seljak, UC Berkeley
Normalizing Flows and MicroCanonical Langevin and Hamiltonian Monte Carlo