Solving a Higgs optimization problem with quantum annealing for machine learning. - Alex Mott; Joshua A. Job; Jean-Roch Vlimant; Daniel A. Lidar; Maria Spiropulu (Nat., 2017)

Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. - Alexander Mott; Daniel Zoran; Mike Chrzanowski; Daan Wierstra; Danilo Jimenez Rezende (NeurIPS, 2019)

Quantum adiabatic machine learning with zooming. - Alexander Zlokapa; Alex Mott; Joshua A. Job; Jean-Roch Vlimant; Daniel A. Lidar; Maria Spiropulu (CoRR, 2019)

Orthogonal Gradient Descent for Continual Learning. - Mehrdad Farajtabar; Navid Azizan; Alex Mott; Ang Li (AISTATS, 2020)

Towards Robust Image Classification Using Sequential Attention Models. - Daniel Zoran; Mike Chrzanowski; Po-Sen Huang; Sven Gowal; Alex Mott; Pushmeet Kohli (CVPR, 2020)

The Effectiveness of Memory Replay in Large Scale Continual Learning. - Yogesh Balaji; Mehrdad Farajtabar; Dong Yin; Alex Mott; Ang Li (CoRR, 2020)