TrAC Advanced AI course on Graph Neural Networks
In this course, "Graph Neural Network", we will learn about graph neural network models, a branch for machine learning and AI. We will cover everything from the overview of graph […]
$500
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TrAC Seminar Series – Qi An
Detail Date: October 9, 2024 Time: 11:00 am - 12:00 pm CST Location: 2004 Black Engineering or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Understanding Reaction Mechanisms of Ammonia Synthesis through the Combination of Deep Reinforcement Learning and Density Functional Theory Abstract The Haber–Bosch (HB) process is the foundation of industrial ammonia (NH₃) production, essential for manufacturing nitrate-based fertilizers and […]
TrAC Student Journal Club – Shivani Chiranjeevi
Detail Date: October 17, 2024 Time: 12:00 PM - 1:00 PM CST Location: Microsoft Teams Meeting Title: Contrastive Localized Language-Image Pre-Training
TrAC Seminar Series – Haifeng Xu
Detail Date: October 23, 2024 Time: 11:00 am - 12:00 pm CST Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Economic Designs of Large Language Models Abstract Large Language Models (LLMs) are transforming many of […]
TrAC Advanced AI Course on Self-Supervised Learning
Course Overview Self-Supervised Learning (SSL) is transforming the way we use machine learning by leveraging unlabeled data to create powerful models. This course offers a foundational understanding of SSL principles, […]
$500
TrAC Foundational AI Course on Generative Models
Course Description Elevate your machine learning skills with our comprehensive course, “Generative Models”. This course covers everything you need to know about generative models, from the basics of discriminative vs. generative […]
$500
TrAC Seminar Series – Jian-Xun Wang
Detail Date: November 6, 2024 Time: 11:00 AM - 12:00 PM CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Deep Learning Meets Numerical PDEs: A Neural Differentiable Physics Approach for […]
TrAC Seminar Series – Ashis Banerjee
Detail Date: November 20, 2024 Time: 11:00 AM - 12:00 PM Location: https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: A Foray into Topological Learning from an Engineering Perspective Abstract Topological learning (TL), referring to a […]
TrAC Seminar Series – Ornik Melkior
Detail Date: December 4, 2024 Time: 11:00 am - 12:00 pm CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Autonomy at the Edge of Capabilities: Uncertain Environments, Limited Resources, Sparse […]
TrAC Seminar Series – Krishna Garikipati
Detail Date: December 11, 2024 Time: 11:00 AM - 12:00 PM CST Location: 2019 Morrill Hall or https://iastate.zoom.us/j/95263587232?pwd=K1BVcURvWExFb3pUT000NlRwdFZsZz09 Title: Fokker-Planck-Inverse Reinforcement Learning: A physics-constrained approach to Markov Decision Process models of […]