Machine Learning for Physics and the Physics of Learning

September 4 - December 8, 2019

Seminar Series

No schedule is available

Tuesday, September 17, 2019

Afternoon Session

14:30-15:00

Moritz Hoffmann (Freie Universität Berlin)

Generating Euclidean distance matrices

15:30-16:00

Jordan Snyder (University of California, Davis (UC Davis))

Coarse-graining for coupled oscillators: a case study in discovering low-dimensional dynamics

Thursday, September 19, 2019

Afternoon Session

14:30-15:00

Samson Koelle (University of Washington)

Collective coordinates with physical meaning

15:30-16:00

Journal Club

Tuesday, October 1, 2019

Afternoon Session

14:30-15:00

Adam Rupe (MLPRC2)

Intrinsic Computation and Physics-Based Representation Learning for Complex Dynamical Systems

15:30-16:00

Andreas Mardt (Freie Universität Berlin)

Deep learning of molecular kinetics

Thursday, October 3, 2019

Afternoon Session

14:30-15:00

Katherine Breen (NASA)

Simultaneous discovery of coordinates and parsimonious dynamics

15:30-16:00

Journal Club: Reproducing Kernel Hilbert Spaces

Tuesday, October 8, 2019

Afternoon Session

14:30-15:00

Kathleen Champion (University of Washington)

Simultaneous discovery of coordinates and parsimonious dynamics

15:30-16:00

Stefan Klus (Freie Universität Berlin)

SINDy for classification problems

Thursday, October 10, 2019

Afternoon Session

14:30-15:00

Erik Thiede (University of Chicago)

Accurate Data-driven Estimation of Dynamical Quantities

15:30-16:00

Journal Club (Stephen Xie): How can we explain the predictions of a blackbox model?

Tuesday, October 22, 2019

Afternoon Session

14:30-15:00

Yu-Chia Chen (University of Washington)

Selecting the independent coordinates of manifolds with large aspect ratios

15:30-16:00

Kim Nicoli (University of Bonn)

Analysis of Atomistic Representations Using Weighted Skip-Connections

Thursday, October 24, 2019

Afternoon Session

14:30-15:00

Anastasiya Salova (Northwestern University)

Data-driven methods to study dynamics on complex networks

15:30-16:00

Hao Wu (Free University of Berlin and Zuse Institute Berlin)

Optimal finite-rank approximation of Koopman operators: Theory, methods and challenges

Tuesday, November 5, 2019

Afternoon Session

14:30-15:00

Maghesree Chakraborty (University of Rochester)

Systematic coarse-grained mapping selection

15:30-16:00

Xavier Brumwell (Michigan State University)

Wavelet Scattering for Materials

Thursday, November 7, 2019

Afternoon Session

14:30-15:00

Alex Goeßmann (Technische Universität Berlin)

Tensor Recovery and Machine Learning

15:30-16:00

Journal Club

Tuesday, November 12, 2019

Afternoon Session

14:30-15:00

Lukas Kades (Ruprecht-Karls-Universität Heidelberg)

Importance Sampling of Complex Probability Distributions

15:30-16:00

Rhys Goodall (University of Cambridge)

How far can we get when predicting properties without crystal structures? [working title]

Thursday, November 14, 2019

Afternoon Session

14:30-15:00

Jared Callaham (University of Washington)

Stochastic reduced-order modeling with applications

15:30-16:00

Journal Club

Tuesday, November 26, 2019

Afternoon Session

14:30-15:00

Luca Venturi (New York University)

TBA

15:30-16:00

Marc Stieffenhofer (Max Planck Institute for Polymer Research)

TBA

Printable Version