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ORCIDAran Nayebi
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2020 – today
- 2023
[j5]Aran Nayebi
, Nathan C. L. Kong, Chengxu Zhuang, Justin L. Gardner, Anthony M. Norcia, Daniel L. K. Yamins:
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation. PLoS Comput. Biol. 19(10) (2023)- [c10]Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang:
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. NeurIPS 2023 - [i14]Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang:
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. CoRR abs/2305.11772 (2023) - [i13]Aran Nayebi:
A Goal-Driven Approach to Systems Neuroscience. CoRR abs/2311.02704 (2023) - 2022
- [j4]Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. Neural Comput. 34(8): 1652-1675 (2022) - 2021
- [j3]Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins:
Unsupervised neural network models of the ventral visual stream. Proc. Natl. Acad. Sci. USA 118(3): e2014196118 (2021) - [c9]Aran Nayebi, Alexander Attinger, Malcolm Campbell, Kiah Hardcastle, Isabel Low, Caitlin S. Mallory, Gabriel Mel, Ben Sorscher, Alex H. Williams, Surya Ganguli, Lisa M. Giocomo, Daniel L. K. Yamins:
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks. NeurIPS 2021: 12167-12179 - 2020
- [c8]Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel Yamins:
Two Routes to Scalable Credit Assignment without Weight Symmetry. ICML 2020: 5511-5521 - [c7]Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. NeurIPS 2020 - [c6]Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins:
Identifying Learning Rules From Neural Network Observables. NeurIPS 2020 - [i12]Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel L. K. Yamins:
Two Routes to Scalable Credit Assignment without Weight Symmetry. CoRR abs/2003.01513 (2020) - [i11]Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. CoRR abs/2006.12373 (2020) - [i10]Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins:
Identifying Learning Rules From Neural Network Observables. CoRR abs/2010.11765 (2020)
2010 – 2019
- 2019
- [c5]Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen Baccus, Surya Ganguli:
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. NeurIPS 2019: 8535-8545 - [c4]Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS 2019: 12785-12796 - [i9]Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR abs/1909.06161 (2019) - [i8]Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli:
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. CoRR abs/1912.06207 (2019) - 2018
- [c3]Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS 2018: 5295-5306 - [i7]Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Task-Driven Convolutional Recurrent Models of the Visual System. CoRR abs/1807.00053 (2018) - 2017
- [c2]Pradeep Javangula, Kourosh Modarresi, Paresh Shenoy, Yi Liu, Aran Nayebi:
Efficient Hybrid Algorithms for Computing Clusters Overlap. ICCS 2017: 1050-1059 - [i6]Aran Nayebi, Surya Ganguli:
Biologically inspired protection of deep networks from adversarial attacks. CoRR abs/1703.09202 (2017) - 2016
- [c1]Lane McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen Baccus:
Deep Learning Models of the Retinal Response to Natural Scenes. NIPS 2016: 1361-1369 - 2015
- [j2]Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan:
Quantum lower bound for inverting a permutation with advice. Quantum Inf. Comput. 15(11&12): 901-913 (2015) - 2014
- [j1]Aran Nayebi:
Practical Intractability: A Critique of the Hypercomputation Movement. Minds Mach. 24(3): 275-305 (2014) - [i5]Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan:
Quantum lower bound for inverting a permutation with advice. CoRR abs/1408.3193 (2014) - [i4]Aran Nayebi, Virginia Vassilevska Williams:
Quantum algorithms for shortest paths problems in structured instances. CoRR abs/1410.6220 (2014) - [i3]Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan:
Quantum lower bound for inverting a permutation with advice. Electron. Colloquium Comput. Complex. TR14 (2014) - 2012
- [i2]Aran Nayebi:
Plausible hypercomputability. CoRR abs/1210.3304 (2012)
2000 – 2009
- 2009
- [i1]Aran Nayebi:
Parallel DNA implementation of fast matrix multiplication techniques based on an $n$-moduli set. CoRR abs/0912.0750 (2009)
Coauthor Index
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