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.
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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 spread over 3 weeks.
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. In their quest to build more capable robots, engineers have explored many avenues, including artificial intelligence, reconfigurable robots, and leveraging deformable materials that naturally absorb […]
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
DLRG – Mastering PyTorch – 3
TrAC DLRG Mini-course on Mastering PyTorch (class 3/3) In this mini-course, we will cover programming for deep learning and accelerated computing using PyTorch. This is a series of 3 lectures spread over 3 weeks.
TrAC Seminar Series – Michael Risbeck
Title: Data-driven Optimization of HVAC Systems to Balance Airborne Infection Risk and Energy Use Abstract During the COVID-19 global pandemic, significant attention was paid to how the operation of building ventilation systems contributes to airborne transmission of pathogens via respiratory aerosols. Via increased filtration, outdoor-air ventilation, and other mechanisms, the effective residence time of these […]
ADLRG – Graph Neural Networks – 2
TrAC ADLRG Mini-course on Graph Neural Networks (class 2/4) In this mini-course, we will cover concepts in Graph Neural Networks.
Student Journal Club – Joshua Waite – Multi-Camera Tracking
Title: Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment Link: Enhancing Multi-Camera People Tracking With Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment (thecvf.com)