Alex Mott

According to our database, Alex Mott authored at least 6 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

The Effectiveness of Memory Replay in Large Scale Continual Learning.

Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li

CoRR, 2020

Towards Robust Image Classification Using Sequential Attention Models.

Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Orthogonal Gradient Descent for Continual Learning.

Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Quantum adiabatic machine learning with zooming.

Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

Towards Interpretable Reinforcement Learning Using Attention Augmented Agents.

Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Solving a Higgs optimization problem with quantum annealing for machine learning.

Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

Nat., 2017