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CSE Laboratory 372 Fitzpatrick Hall, Notre Dame, IN 46556, USA

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Review of state space models [Slides]

Souvik Chakraborty

Introduction to simulation models for groundwater flow modeling [Slides]

Shaoxing Mo

Cluster Expansion and Introduction to Alloy Theoretic Automated Toolkit [Slides]

Sina Malakpour

Regularization in optimization [Slide...

An adaptive experimental design for Global sensitivity analysis (GSA) and uncertainty quantification (UQ): Application to groundwater modeling [Slides]

Shaoxing Mo

Global sensitivity analysis (GSA) and uncertainty quantification (UQ) in groundwater modeling are challengi...

Regularization in Deep Learning [Slides]

Govinda Anantha Padmanabha

Regularization is any modification we make to a learning algorithm that is intended to reduce its test error but not training error. This seminar reviews on regularization strategies for deep models or m...

September 7, 2017

Implementation of Neural Nets in PyTorch [Slides] 

Nick Geneva

In this seminar we review and discuss the implementation of two different neural nets. First we discuss using mixture density networks to fit Gaussian distributions to a set of toy data and implementing a cus...

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