Metacontrol for Adaptive Imagination-Based Optimization. - Jessica B. Hamrick; Andrew J. Ballard; Razvan Pascanu; Oriol Vinyals; Nicolas Heess; Peter W. Battaglia (ICLR (Poster), 2017)

Learning to Navigate in Complex Environments. - Piotr Mirowski; Razvan Pascanu; Fabio Viola; Hubert Soyer; Andy Ballard; Andrea Banino; Misha Denil; Ross Goroshin; Laurent Sifre; Koray Kavukcuoglu; Dharshan Kumaran; Raia Hadsell (ICLR (Poster), 2017)

Perspective: Energy Landscapes for Machine Learning. - Andrew J. Ballard; Ritankar Das; Stefano Martiniani; Dhagash Mehta; Levent Sagun; Jacob D. Stevenson; David J. Wales (CoRR, 2017)

Relational inductive biases, deep learning, and graph networks. - Peter W. Battaglia; Jessica B. Hamrick; Victor Bapst; Alvaro Sanchez-Gonzalez; Vinícius Flores Zambaldi; Mateusz Malinowski; Andrea Tacchetti; David Raposo; Adam Santoro; Ryan Faulkner 001; Çaglar Gülçehre; H. Francis Song; et al. (CoRR, 2018)

Unsupervised Doodling and Painting with Improved SPIRAL. - John F. J. Mellor; Eunbyung Park; Yaroslav Ganin; Igor Babuschkin; Tejas Kulkarni; Dan Rosenbaum; Andy Ballard; Theophane Weber; Oriol Vinyals; S. M. Ali Eslami (CoRR, 2019)

Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. - James Martens; Andy Ballard; Guillaume Desjardins; Grzegorz Swirszcz; Valentin Dalibard; Jascha Sohl-Dickstein; Samuel S. Schoenholz (CoRR, 2021)

Normalizing flows for atomic solids. - Peter Wirnsberger; George Papamakarios; Borja Ibarz; Sébastien Racanière; Andrew J. Ballard; Alexander Pritzel; Charles Blundell (Mach. Learn. Sci. Technol., 2022)