TrAC Student Journal Club – Dhruv Gamdha
Title: ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Link to the paper: https://light.princeton.edu/publication/delta_prox/
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DLRG – MLOps – 2
TrAC DLRG Mini-course on MLOps (class 2/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.
TrAC Seminar Series – George Biros
Title: A Graph Neural Network Surrogate for Epitaxial Crystal Growth Abstract Predicting grain (crystal) formation and growth during alloy solidification is of great importance in additive manufacturing (AM) as it […]
ADLRG – Generative AI (vision) – 4
TrAC ADLRG Mini-course on Generative AI (class 4/4) In this mini-course, we will cover concepts in Generative AI such as Diffusion, etc.
TrAC Student Journal Club – Mozhgan Hadadi
Title: Hyperspectral Neural Radiance Fields
DLRG – MLOps – 3
TrAC DLRG Mini-course on MLOps (class 3/3) In this mini-course, we will cover DevOps and best practices for training, monitoring, and deploying deep learning models.
TrAC Seminar Series – Iro Armeni
Title: Living Scenes: Creating and updating digital twins of evolving indoor scenes Abstract Buildings are like living organisms, i.e., they evolve over time due to interaction with natural phenomena and humans. […]
Federated Learning – 1
TrAC ADLRG Mini-course on Federated Learning (class 1/3) In this mini-course, we will cover concepts in Federated Learning.
TrAC Spring All-Hands Meeting
Student Innovations CenterTrAC Student Journal Club – Timilehin Ayanlade
Title: Unified Training of Universal Time Series Forecasting Transformers