PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Getting Optimization layers to play well with Deep Networks: Numerical methods and Architectures

NSH 4305

Abstract: Many real-world challenges, from robotic control to resource management, can be effectively formulated as optimization problems. Recent advancements have focused on incorporating these optimization problems as layers within deep learning pipelines, enabling the explicit inclusion of auxiliary constraints or cost functions, which is crucial for applications such as enforcing physical laws, ensuring safety constraints, [...]

RI Seminar
Axel Krieger
Associate Professor
Department of Mechanical Engineering, Johns Hopkins Whiting School of Engineering

RI Seminar with Axel Krieger

1403 Tepper School Building

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