| Stable and expressive recurrent vision models D Linsley, A Karkada Ashok, LN Govindarajan, R Liu, T Serre Advances in Neural Information Processing Systems 33, 10456-10467, 2020 | 39 | 2020 |
| Regge calculus models of closed lattice universes RG Liu, RM Williams Physical Review D 93 (2), 023502, 2016 | 22 | 2016 |
| Lindquist-Wheeler formulation of lattice universes RG Liu Physical Review D 92 (6), 063529, 2015 | 19 | 2015 |
| Regge calculus models of the closed vacuum -FLRW universe RG Liu, RM Williams Physical Review D 93 (2), 024032, 2016 | 17 | 2016 |
| Strong information-limiting correlations in early visual areas JS Montijn, RG Liu, A Aschner, A Kohn, PE Latham, A Pouget bioRxiv, 842724, 2019 | 12 | 2019 |
| Cosmological modelling with Regge calculus RG Liu, RM Williams arXiv preprint arXiv:1510.05771, 2015 | 6 | 2015 |
| Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning RG Liu, MJ Frank Artificial intelligence 312, 103770, 2022 | 4 | 2022 |
| Discrete gravitational approaches to cosmology RG Liu University of Cambridge, 2015 | 1 | 2015 |
| Recurrent neural circuits D Linsley, J Kim, T Serre, AK Ashok, LN Govindarajan, RG Liu US Patent 11,636,346, 2023 | | 2023 |
| Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning LN Govindarajan, RG Liu, D Linsley, AK Ashok, M Reuter, M Frank, ... | | 2022 |
| Supplementary Information Stable and expressive recurrent vision models D Linsley, AK Ashok, LN Govindarajan, R Liu, T Serre | | |
