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03/03/2023
Nature's Cost Function: Simulating Physics by Minimizing the Action
In physics, there is a scalar function called the action which behaves l...
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05/09/2022
A Tutorial on Structural Optimization
Structural optimization is a useful and interesting tool. Unfortunately,...
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01/25/2022
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately
Understanding natural symmetries is key to making sense of our complex a...
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06/11/2021
Piecewise-constant Neural ODEs
Neural networks are a popular tool for modeling sequential data but they...
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11/29/2020
Scaling down Deep Learning
Though deep learning models have taken on commercial and political relev...
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03/10/2020
Lagrangian Neural Networks
Accurate models of the world are built upon notions of its underlying sy...
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09/10/2019
Neural reparameterization improves structural optimization
Structural optimization is a popular method for designing objects such a...
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06/04/2019
Hamiltonian Neural Networks
Even though neural networks enjoy widespread use, they still struggle to...
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11/29/2018
Learning Finite State Representations of Recurrent Policy Networks
Recurrent neural networks (RNNs) are an effective representation of cont...
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10/31/2017
Visualizing and Understanding Atari Agents
Deep reinforcement learning (deep RL) agents have achieved remarkable su...
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08/24/2017
