| Relational inductive biases, deep learning, and graph networks PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018 | 1979 | 2018 |
| Machine theory of mind N Rabinowitz, F Perbet, F Song, C Zhang, SMA Eslami, M Botvinick International conference on machine learning, 4218-4227, 2018 | 297 | 2018 |
| Bipartite fluctuations as a probe of many-body entanglement HF Song, S Rachel, C Flindt, I Klich, N Laflorencie, K Le Hur Physical Review B 85 (3), 035409, 2012 | 238 | 2012 |
| Task representations in neural networks trained to perform many cognitive tasks GR Yang, MR Joglekar, HF Song, WT Newsome, XJ Wang Nature neuroscience 22 (2), 297-306, 2019 | 235 | 2019 |
| The hanabi challenge: A new frontier for ai research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ... Artificial Intelligence 280, 103216, 2020 | 181 | 2020 |
| Training excitatory-inhibitory recurrent neural networks for cognitive tasks: a simple and flexible framework HF Song, GR Yang, XJ Wang PLoS computational biology 12 (2), e1004792, 2016 | 174 | 2016 |
| Stabilizing transformers for reinforcement learning E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ... International conference on machine learning, 7487-7498, 2020 | 135 | 2020 |
| General relation between entanglement and fluctuations in one dimension HF Song, S Rachel, K Le Hur Physical Review B 82 (1), 012405, 2010 | 128 | 2010 |
| Entanglement entropy from charge statistics: Exact relations for noninteracting many-body systems HF Song, C Flindt, S Rachel, I Klich, K Le Hur Physical Review B 83 (16), 161408, 2011 | 121 | 2011 |
| Circuit mechanisms for the maintenance and manipulation of information in working memory NY Masse, GR Yang, HF Song, XJ Wang, DJ Freedman Nature neuroscience 22 (7), 1159-1167, 2019 | 114 | 2019 |
| Bayesian action decoder for deep multi-agent reinforcement learning J Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ... International Conference on Machine Learning, 1942-1951, 2019 | 111 | 2019 |
| Reward-based training of recurrent neural networks for cognitive and value-based tasks HF Song, GR Yang, XJ Wang Elife 6, e21492, 2017 | 108 | 2017 |
| Spatial embedding of structural similarity in the cerebral cortex HF Song, H Kennedy, XJ Wang Proceedings of the National Academy of Sciences 111 (46), 16580-16585, 2014 | 82 | 2014 |
| Detecting quantum critical points using bipartite fluctuations S Rachel, N Laflorencie, HF Song, K Le Hur Physical review letters 108 (11), 116401, 2012 | 82 | 2012 |
| Entanglement entropy of the two-dimensional Heisenberg antiferromagnet HF Song, N Laflorencie, S Rachel, K Le Hur Physical Review B 83 (22), 224410, 2011 | 80 | 2011 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 76 | 2021 |
| Relational inductive biases, deep learning, and graph networks. arXiv 2018 PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018 | 68 | 2018 |
| V-mpo: On-policy maximum a posteriori policy optimization for discrete and continuous control HF Song, A Abdolmaleki, JT Springenberg, A Clark, H Soyer, JW Rae, ... arXiv preprint arXiv:1909.12238, 2019 | 58 | 2019 |
| Relational forward models for multi-agent learning A Tacchetti, HF Song, PAM Mediano, V Zambaldi, NC Rabinowitz, ... arXiv preprint arXiv:1809.11044, 2018 | 55 | 2018 |
| Fluctuations and entanglement spectrum in quantum Hall states A Petrescu, HF Song, S Rachel, Z Ristivojevic, C Flindt, N Laflorencie, ... Journal of Statistical Mechanics: Theory and Experiment 2014 (10), P10005, 2014 | 34 | 2014 |
