Graph Neural Networks Gone Hogwild.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
A rapid and automated computational approach to the design of multistable soft actuators.
Comput. Phys. Commun., 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
JAX FDM: A differentiable solver for inverse form-finding.
CoRR, 2023
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh.
CoRR, 2022
Randomized Automatic Differentiation.
Proceedings of the 9th International Conference on Learning Representations, 2021
Scalable Model Compression by Entropy Penalized Reparameterization.
Proceedings of the 8th International Conference on Learning Representations, 2020
On Predictive Information Sub-optimality of RNNs.
CoRR, 2019
Model Compression by Entropy Penalized Reparameterization.
CoRR, 2019
Predicting Motivations of Actions by Leveraging Text.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016