Introduction Optimization has been playing a critical role in modern machine learning, leading to its significantly successful applications in many different fields. Researchers and practitioners typically spend less time investigating […]
TrAC DLRG Mini-course on Fundamentals of Deep Learning (class 3/3) In this mini-course, we will cover basic fundamental concepts of deep learning. This is a series of 3 lectures spread […]
Title: The “Fatal Flaw” in AI Policy & Governance, and a Simple Yet Strategic Framework that May Help Abstract Much of policy and governance for AI can be divided into […]
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 3/4) In this mini-course, we will cover concepts in deep reinforcement learning.
TrAC DLRG Mini-course on Mastering PyTorch (class 1/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures […]
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 4/4) In this mini-course, we will cover concepts in deep reinforcement learning.
Title Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09
TrAC DLRG Mini-course on Mastering PyTorch (class 2/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures […]
Title: A Surface-based Approach to Soft Robotics Abstract Typical robots are designed to achieve a single function in a controlled environment and lack the ability to generalize to new tasks. […]
TrAC ADLRG Mini-course on Graph Neural Networks (class 1/4) In this mini-course, we will cover concepts in Graph Neural Networks.
