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 cell dynamics Abstract Inverse Reinforcement Learning (IRL) is a compelling technique for revealing the rationale underlying the behavior of autonomous agents.  IRL seeks to estimate […]

TrAC Seminar Series – Ashis Banerjee

Detail Date: January 28, 2025 Time: 1:00 - 2:00 PM CST Location: To Be Updated Title: A Foray into Topological Learning from an Engineering Perspective Abstract Topological learning (TL), referring […]

Mastering PyTorch

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 […]