This is a short tutorial on Gaussian Processes, Multi-fidelity Gaussian Processes, Gaussian Processes for Differential Equations, and Bayesian Optimization. For more details, please refer to the ...
Abstract: The paper describes the closing of the loop for an analogue capacitive micro-accelerometer. The accelerometer is mathematical modeled, the mathematical relation being expressed both in ...
In this tutorial, we build a human-in-the-loop travel booking agent that treats the user as a teammate rather than a passive observer. We design the system so the agent first reasons openly by ...
I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...
[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
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