Aidan Scannell

According to our database, Aidan Scannell authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Function-space Parameterization of Neural Networks for Sequential Learning.

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin

CoRR, 2024

2023

Sparse Function-space Representation of Neural Networks.

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin

CoRR, 2023

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes.

Aidan Scannell, Carl Henrik Ek, Arthur Richards

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation.

Aidan Scannell, Carl Henrik Ek, Arthur Richards

Proceedings of the IEEE International Conference on Robotics and Automation, 2021