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Andrew Saxe - Publications

Affiliations: 
Gatsby Computational Neuroscience Unit University College London, London, United Kingdom 
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19 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Löwe AT, Touzo L, Muhle-Karbe PS, Saxe AM, Summerfield C, Schuck NW. Abrupt and spontaneous strategy switches emerge in simple regularised neural networks. Plos Computational Biology. 20: e1012505. PMID 39432516 DOI: 10.1371/journal.pcbi.1012505  0.568
2024 Carrasco-Davis R, Masís J, Saxe AM. Meta-Learning Strategies through Value Maximization in Neural Networks. Arxiv. PMID 39070033  0.612
2023 J Dominé CC, Braun L, Fitzgerald JE, Saxe AM. Exact learning dynamics of deep linear networks with prior knowledge. Journal of Statistical Mechanics (Online). 2023: 114004. PMID 38524253 DOI: 10.1088/1742-5468/ad01b8  0.557
2023 Sun W, Advani M, Spruston N, Saxe A, Fitzgerald JE. Organizing memories for generalization in complementary learning systems. Nature Neuroscience. PMID 37474639 DOI: 10.1038/s41593-023-01382-9  0.345
2023 Shamash P, Lee S, Saxe AM, Branco T. Mice identify subgoal locations through an action-driven mapping process. Neuron. PMID 37119818 DOI: 10.1016/j.neuron.2023.03.034  0.302
2023 Nelli S, Braun L, Dumbalska T, Saxe A, Summerfield C. Neural knowledge assembly in humans and neural networks. Neuron. PMID 36898375 DOI: 10.1016/j.neuron.2023.02.014  0.377
2023 Masís J, Chapman T, Rhee JY, Cox DD, Saxe AM. Strategically managing learning during perceptual decision making. Elife. 12. PMID 36786427 DOI: 10.7554/eLife.64978  0.504
2023 Flesch T, Saxe A, Summerfield C. Continual task learning in natural and artificial agents. Trends in Neurosciences. PMID 36682991 DOI: 10.1016/j.tins.2022.12.006  0.498
2023 Flesch T, Nagy DG, Saxe A, Summerfield C. Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. Plos Computational Biology. 19: e1010808. PMID 36656823 DOI: 10.1371/journal.pcbi.1010808  0.344
2022 Saglietti L, Mannelli SS, Saxe A. An analytical theory of curriculum learning in teacher-student networks. Journal of Statistical Mechanics (Online). 2022: 114014. PMID 37817944 DOI: 10.1088/1742-5468/ac9b3c  0.538
2022 Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C. Orthogonal representations for robust context-dependent task performance in brains and neural networks. Neuron. 110: 4212-4219. PMID 36549271 DOI: 10.1016/j.neuron.2022.12.004  0.373
2022 Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C. Orthogonal representations for robust context-dependent task performance in brains and neural networks. Neuron. PMID 35085492 DOI: 10.1016/j.neuron.2022.01.005  0.504
2020 Saxe A, Nelli S, Summerfield C. If deep learning is the answer, what is the question? Nature Reviews. Neuroscience. PMID 33199854 DOI: 10.1038/s41583-020-00395-8  0.607
2020 Advani MS, Saxe AM, Sompolinsky H. High-dimensional dynamics of generalization error in neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 132: 428-446. PMID 33022471 DOI: 10.1016/j.neunet.2020.08.022  0.416
2019 Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, ... ... Saxe A, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/S41593-019-0520-2  0.329
2019 Saxe AM, McClelland JL, Ganguli S. A mathematical theory of semantic development in deep neural networks. Proceedings of the National Academy of Sciences of the United States of America. PMID 31101713 DOI: 10.1073/Pnas.1820226116  0.545
2019 Saxe AM, Bansal Y, Dapello J, Advani M, Kolchinsky A, Tracey BD, Cox DD. On the information bottleneck theory of deep learning Journal of Statistical Mechanics: Theory and Experiment. 2019: 124020. DOI: 10.1088/1742-5468/Ab3985  0.379
2018 Zhang Y, Saxe AM, Advani MS, Lee AA. Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning Molecular Physics. 116: 3214-3223. DOI: 10.1080/00268976.2018.1483535  0.401
2011 Balci F, Simen P, Niyogi R, Saxe A, Hughes JA, Holmes P, Cohen JD. Acquisition of decision making criteria: reward rate ultimately beats accuracy. Attention, Perception & Psychophysics. 73: 640-57. PMID 21264716 DOI: 10.3758/S13414-010-0049-7  0.364
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