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 optimizers when they do the model training, mostly following some empirical rules or recommendations from the community. In this event, we will go relatively deeper […]
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 over 3 weeks.
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.
