DLRG – Fundamentals of Deep Learning – 3
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.
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TrAC Seminar Series – Carrie Alexander
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 […]
ADLRG – Deep Reinforcement Learning – 3
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 3/4) In this mini-course, we will cover concepts in deep reinforcement learning.
DLRG – Mastering PyTorch – 1
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 […]
ADLRG – Deep Reinforcement Learning – 4
TrAC ADLRG Mini-course on Deep Reinforcement Learning (class 4/4) In this mini-course, we will cover concepts in deep reinforcement learning.
Student Journal Club – Samundra Karki
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
DLRG – Mastering PyTorch – 2
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 […]
TrAC Seminar Series – Dylan Shah
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. […]
ADLRG – Graph Neural Networks – 1
TrAC ADLRG Mini-course on Graph Neural Networks (class 1/4) In this mini-course, we will cover concepts in Graph Neural Networks.
TrAC Student Journal Club – Nastaran Saadati – Model Merging
Title: Merging Multi-Task Models via Weight-Ensembling Mixture of Experts