Aran Nayebi

According to our database, Aran Nayebi authored at least 26 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Core Safety Values for Provably Corrigible Agents.

Aran Nayebi

CoRR, July, 2025

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation.

Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi

CoRR, June, 2025

An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy.

Aran Nayebi

CoRR, May, 2025

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain.

Trinity Chung, Yuchen Shen, Nathan C. L. Kong, Aran Nayebi

CoRR, May, 2025

Brain-Model Evaluations Need the NeuroAI Turing Test.

Jenelle Feather, Meenakshi Khosla, N. Apurva Ratan Murty, Aran Nayebi

CoRR, February, 2025

Barriers and Pathways to Human-AI Alignment: A Game-Theoretic Approach.

Aran Nayebi

CoRR, February, 2025

2023

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation.

Aran Nayebi, Nathan C. L. Kong, Chengxu Zhuang, Justin L. Gardner, Anthony M. Norcia, Daniel L. K. Yamins

PLoS Comput. Biol., October, 2023

A Goal-Driven Approach to Systems Neuroscience.

Aran Nayebi

CoRR, 2023

Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes.

Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.

Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

Neural Comput., 2022

2021

Unsupervised neural network models of the ventral visual stream.

Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins

Proc. Natl. Acad. Sci. USA, 2021

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Identifying Learning Rules From Neural Network Observables.

Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Two Routes to Scalable Credit Assignment without Weight Symmetry.

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction.

Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen Baccus, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Task-Driven Convolutional Recurrent Models of the Visual System.

Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Biologically inspired protection of deep networks from adversarial attacks.

Aran Nayebi, Surya Ganguli

CoRR, 2017

Efficient Hybrid Algorithms for Computing Clusters Overlap.

Pradeep Javangula, Kourosh Modarresi, Paresh Shenoy, Yi Liu, Aran Nayebi

Proceedings of the International Conference on Computational Science, 2017

2016

Deep Learning Models of the Retinal Response to Natural Scenes.

Lane McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen Baccus

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Practical Intractability: A Critique of the Hypercomputation Movement.

Aran Nayebi

Minds Mach., 2014

Quantum lower bound for inverting a permutation with advice.

Aran Nayebi, Scott Aaronson, Aleksandrs Belovs, Luca Trevisan

Electron. Colloquium Comput. Complex., 2014

Quantum algorithms for shortest paths problems in structured instances.

Aran Nayebi, Virginia Vassilevska Williams

CoRR, 2014

2012

Plausible hypercomputability

Aran Nayebi

CoRR, 2012

2009

Parallel DNA implementation of fast matrix multiplication techniques based on an $n$-moduli set

Aran Nayebi

CoRR, 2009