TrAC DLRG Mini-course on Mastering Tensorflow (class 2/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures spread over 3 weeks.
Title: Nonlocal Operator Learning is All You Need Abstract During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning tasks. However, their employment in scientific machine learning with the purpose of learning complex responses of physical systems from experimental measurements has been explored much […]
TrAC ADLRG Mini-course on Generative AI (class 1/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
TrAC DLRG Mini-course on Mastering Tensorflow (class 3/3) In this mini-course, we will cover programming for deep learning and accelerated computing using Tensorflow. This is a series of 3 lectures spread over 3 weeks.
Title: Data-driven Verification for Safe Autonomy: Reachability, Entropy, and Perception Contracts Abstract Todays verification technologies for autonomous and cyber-physical systems require detailed models which is one of the barriers that keep them from being widely used. In this talk, I will first present the basic idea of data-driven reachability analysis for systems with both black and white-box […]
TrAC ADLRG Mini-course on Generative AI (class 2/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
TrAC DLRG Mini-course on MLOps (class 1/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.
Welcome to TrAC Day! Hosted by The Translational AI Center When: Wednesday, April 3rdTime: 3:00 p.m.Where: Student Innovation Center, Iowa State University About TrAC Day The Translational AI Center is thrilled to announce our inaugural TrAC Day, a pioneering event that celebrates the intersection of artificial intelligence, research, and industry collaboration. What to Expect Join […]
TrAC ADLRG Mini-course on Generative AI (class 3/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
Title: ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Link to the paper: https://light.princeton.edu/publication/delta_prox/
