Spring 2020 Schedule

Unless otherwise noted, all seminars are on Wednesdays from 4:10PM-5PM in https://berkeley.zoom.us/j/186935273.

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1/15:
(Host:Di/Alexandre)
Amir Sagiv, Columbia University
Prediction of random and chaotic dynamics in nonlinear optics
1/22 Evans 740:
Note the special time and location. This is joint with the Thematic Seminar
Yingzhou Li, Duke University
Coordinate Descent Methods for Full Configuration Interactions
1/29 Evans 740:
Note the special time and location. This is joint with the Thematic Seminar
David Rolnick, University of Pennsylvania
Deep neural networks: structure and function
2/5:
(Host:Lin)
Yu-Hang Tang, LBNL
A Graph-Based Kernel Method for Scientific Machine Learning
2/12:
(Host:Lin)
Eric Neuscamann, UC Berkeley
Variational Excited State Optimization
2/19:
(Host:Lin)
Roel Van Beeumen, LBNL
A Scalable Matrix-Free Eigensolver for Studying Many-Body Localization
2/26:
(Host:Lin)
Guang-Hao Low, Microsoft Research
Probing strongly correlated systems: Towards a quantum computational advantage
3/4:
This is joint with APDE Seminar.
(Host:Di)
Jacob Bedrossian, University of Maryland
The power spectrum of passive scalar turbulence in the Batchelor regime
4/8:
On Zoom
(Host:Lin)
Lexing Ying, Stanford University
Solving inverse problems with deep learning
4/15:
Special time 10:10AM-11AM. On Zoom.
(Host:Lin)
Matthew Colbrook, Cambridge University
The Foundations of Infinite-Dimensional Spectral Computations
4/22:
On Zoom
(Host:Lin)
Michael Mahoney, UC Berkeley
Determinantal Point Processes and Randomized Numerical Linear Algebra
4/29:
On Zoom
(Host:Lin)
Ken Kamrin, MIT
Toward reduced-order models for flowing grains: Surprising complexity meets surprising simplicity
5/6:
On Zoom.
(Host:Lin)
Tamara Kolda, Sandia National Laboratory
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition
5/13:
On Zoom.
(Host:Lin)
Linfeng Zhang, Princeton University
Symmetry preserving neural network models for molecular modelling

Schedules from previous semesters