Computational Design of Deployable Structures

Sustainable Additive Manufacturing: Advancements and Challenges

Delves into sustainable additive manufacturing advancements, challenges, and a new design paradigm.

Explores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.

Machine Learning in Chemistry: Bayesian Reaction Optimization

Explores machine learning in chemistry, focusing on Bayesian reaction optimization and shifting the experimental burden from humans to machines.

Optimization Techniques: Convexity and Algorithms in Machine Learning

Covers optimization techniques in machine learning, focusing on convexity, algorithms, and their applications in ensuring efficient convergence to global minima.

Understanding Generalization: Implicit Bias & Optimization

Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.