INS Colloquia Thermodynamic Machine Learning Through Maximum Work Production
Alec Boyd, University of California at Davis
2020.09.22, 10:00-11:00

INS Colloquia Machine Learning for Quantum Control
Barry Sanders,University of Calgary
2020.09.08, 10:00-11:00

INS Colloquia Higher Order Energy Stable ETD Based Methods for Gradient Flows
Xiaoming Wang, Southern University of Science and Technology
2020.08.11, 14:00-15:00

Young Scholars' Forum Landscape Analysis of Non-Convex Optimizations in Phase Retrieval
Jianfeng Cai, Hong Kong University of Science and Technology
2020.07.15, 14:00-15:00

Young Scholars' Forum How Neural Network can Learn to Denoise an Image without any Training Data
Hui Ji, National University of Singapore, Singapore
2020.07.08, 14:00-15:00

INS Colloquia Machine Learning, Adaptive Numerical Approximation and VOF Methods
Bruno Després, Sorbonne University and IUF, Paris, France
2020.07.07, 16:00-17:00

INS Colloquia A Geometric Understanding of Deep Learning
Xianfeng Gu, Stony Brook University, USA
2020.07.03, 09:00-10:00

INS Colloquia Generalized Law of Mass Action (LMA) with Energetic Variational Approaches (EnVarA)
Chun Liu, Illinois Institute of Technology, USA
2020.06.30, 10:00-11:00

Data Science Seminars A Statistical Mechanics Theory of Generalization in Kernel Regression and Wide Neural Networks
Cengiz Pehlevan, Harvard University
2020.06.26, 10:00-11:00

Young Scholars' Forum The Weak Galerkin Finite Element Method for Eigenvalue Problems
Ran Zhang, Jilin University, China
2020.06.24, 14:00-15:00

Distinguished Lectures in Natural Sciences Nonlinear Aggregation-Diffusion Equations: Gradient Flows, Free Energies and Phase Transitions
Jose Carrillo, University of Oxford, UK
2020.06.23, 16:00-17:00

Distinguished Lectures in Natural Sciences Generic Regularity in Obstacle Problems
Alessio Figalli, ETH-Zürich, Switzerland
2020.06.19, 16:00-17:00