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 […]
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, […]
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 […]
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 […]
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 […]
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 […]
Detail Date: January 28, 2025 Time: 1:00 - 2:00 PM CST Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: A Foray into Topological Learning from an Engineering Perspective Abstract Topological learning (TL), referring to a […]
Master PyTorch, an open-source deep learning framework for AI. This course covers everything from the Tensors computations, custom architectures, and advanced functions in PyTorch. It also covers how to debug […]
In this course, “Reinforcement Learning”, you will learn about various reinforcement learning (RL) algorithms, a branch of machine learning and AI. This course covers everything you need to know about […]
Detail Date: February 25, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Machine Learning-accelerated Molecular Design of Innovative Polymers: Shifting from Thomas Edison to Iron Man Abstract […]
In this course, “Interpretability in AI”, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need […]
In this course, “Parallelism in Deep Learning,” you will learn about the need for parallelism in deep learning and how to use different methods of parallelism in deep learning. You […]
