AI Hardware DURIP Grant Awarded
Half a Million Dollars FY 2019 DURIP Grant is Awarded to the Scientific Computing and Artificial Intelligence (SCAI) Lab for Artificial...
Approximate Inference; Convolutional Neural Networks; Stein's Method
Approximate inference algorithms [Slides] Souvik Chakraborty Convolutional Neural Networks [Slides] Navid Shervani-Tabar Intro to Stein's...
Parallel approaches for the Bayesian Gaussian process latent variable model; Regularization in optim
Parallel approaches for the Bayesian Gaussian process latent variable model [Slides] Steven Atkinson We consider the task of training a...
Simulation models for groundwater flow modeling; Cluster Expansion and Introduction to Alloy Theoret
Review of state space models [Slides] Souvik Chakraborty Introduction to simulation models for groundwater flow modeling [Slides]...
UQ in Groundwater Modeling, State Space Models
An adaptive experimental design for Global sensitivity analysis (GSA) and uncertainty quantification (UQ): Application to groundwater...
A Review of Markov and hidden Markov Model, Regularization in Deep Learning
Regularization in Deep Learning [Slides] Govinda Anantha Padmanabha Regularization is any modification we make to a learning algorithm...
Implementation of Neural Nets in PyTorch
Implementation of Neural Nets in PyTorch [Slides] Nick Geneva In this seminar we review and discuss the implementation of two different...
Deep Feedforward Networks, Bayesian Gaussian Process Latent Variable Model
Deep Feedforward Networks [Slides] Navid Shervani-Tabar We review the deep feedforward networks. General setup and design decisions...
