REGAL: Transfer Learning For Fast Optimization of Computation Graphs. - Aditya Paliwal; Felix Gimeno; Vinod Nair; Yujia Li 001; Miles Lubin; Pushmeet Kohli; Oriol Vinyals (CoRR, 2019)

Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. - Xujie Si; Yujia Li 001; Vinod Nair; Felix Gimeno (CoRR, 2019)

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. - Aditya Paliwal; Felix Gimeno; Vinod Nair; Yujia Li 001; Miles Lubin; Pushmeet Kohli; Oriol Vinyals (ICLR, 2020)

Strong Generalization and Efficiency in Neural Programs. - Yujia Li 001; Felix Gimeno; Pushmeet Kohli; Oriol Vinyals (CoRR, 2020)

Solving Mixed Integer Programs Using Neural Networks. - Vinod Nair; Sergey Bartunov; Felix Gimeno; Ingrid von Glehn; Pawel Lichocki; Ivan Lobov; Brendan O'Donoghue; Nicolas Sonnerat; Christian Tjandraatmadja; Pengming Wang 001; Ravichandra Addanki; Tharindi Hapuarachchi; et al. (CoRR, 2020)

Perceiver: General Perception with Iterative Attention. - Andrew Jaegle; Felix Gimeno; Andy Brock; Oriol Vinyals; Andrew Zisserman; João Carreira 001 (ICML, 2021)

Competition-Level Code Generation with AlphaCode. - Yujia Li 001; David H. Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; et al. (CoRR, 2022)

Solving MaxSAT with Matrix Multiplication. - David Warde-Farley; Vinod Nair; Yujia Li 001; Ivan Lobov; Felix Gimeno; Simon Osindero (CoRR, 2023)