research
∙
09/10/2023
A rapid and automated computational approach to the design of multistable soft actuators
We develop an automated computational modeling framework for rapid gradi...
share
research
∙
07/23/2023
JAX FDM: A differentiable solver for inverse form-finding
We introduce JAX FDM, a differentiable solver to design mechanically eff...
research
∙
01/31/2023
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity
Intelligent biological systems are characterized by their embodiment in ...
research
∙
11/03/2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Partial differential equations (PDEs) are often computationally challeng...
research
∙
07/20/2020
Randomized Automatic Differentiation
The successes of deep learning, variational inference, and many other fi...
research
∙
10/21/2019
On Predictive Information Sub-optimality of RNNs
Certain biological neurons demonstrate a remarkable capability to optima...
research
∙
06/15/2019
Model Compression by Entropy Penalized Reparameterization
We describe an end-to-end neural network weight compression approach tha...
research
∙
06/20/2014