Aran Nayebi

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 22

Top Topics

Graph Representations

Top Venues

Publications

Aran Nayebi
A Goal-Driven Approach to Systems Neuroscience. CoRR (2023)
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)
Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. CoRR (2023)
Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. NeurIPS (2023)
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) (2022)
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)
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) (2021)
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 (2020)
Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. Yamins
Learning Physical Graph Representations from Visual Scenes. NeurIPS (2020)
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. Yamins
Identifying Learning Rules From Neural Network Observables. NeurIPS (2020)
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)
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 (2020)
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins
Identifying Learning Rules From Neural Network Observables. CoRR (2020)
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 (2019)
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. Yamins, James J. DiCarlo
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS (2019)
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 (2019)
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)
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 (2018)
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins
Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS (2018)
Aran Nayebi, Surya Ganguli
Biologically inspired protection of deep networks from adversarial attacks. CoRR (2017)
Pradeep Javangula, Kourosh Modarresi, Paresh Shenoy, Yi Liu, Aran Nayebi
Efficient Hybrid Algorithms for Computing Clusters Overlap. ICCS (2017)
Lane McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen Baccus
Deep Learning Models of the Retinal Response to Natural Scenes. NIPS (2016)
Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan
Quantum lower bound for inverting a permutation with advice. Quantum Inf. Comput. 15 (11&12) (2015)
Aran Nayebi, Virginia Vassilevska Williams
Quantum algorithms for shortest paths problems in structured instances. CoRR (2014)
Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan
Quantum lower bound for inverting a permutation with advice. Electron. Colloquium Comput. Complex. 21 (2014)
Aran Nayebi
Practical Intractability: A Critique of the Hypercomputation Movement. Minds Mach. 24 (3) (2014)
Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan
Quantum lower bound for inverting a permutation with advice. CoRR (2014)
Aran Nayebi
Plausible hypercomputability CoRR (2012)
Aran Nayebi
Parallel DNA implementation of fast matrix multiplication techniques based on an $n$-moduli set CoRR (2009)