Parallel DNA implementation of fast matrix multiplication techniques based on an $n$-moduli set - Aran Nayebi (CoRR, 2009)

Plausible hypercomputability - Aran Nayebi (CoRR, 2012)

Quantum algorithms for shortest paths problems in structured instances. - Aran Nayebi; Virginia Vassilevska Williams (CoRR, 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 001 (Quantum Inf. Comput., 2015)

Deep Learning Models of the Retinal Response to Natural Scenes. - Lane McIntosh; Niru Maheswaranathan; Aran Nayebi; Surya Ganguli; Stephen Baccus (NIPS, 2016)

Efficient Hybrid Algorithms for Computing Clusters Overlap. - Pradeep Javangula; Kourosh Modarresi; Paresh Shenoy; Yi Liu; Aran Nayebi (ICCS, 2017)

Biologically inspired protection of deep networks from adversarial attacks. - Aran Nayebi; Surya Ganguli (CoRR, 2017)

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 (NeurIPS, 2018)

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; et al. (NeurIPS, 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 (NeurIPS, 2019)

Two Routes to Scalable Credit Assignment without Weight Symmetry. - Daniel Kunin; Aran Nayebi; Javier Sagastuy-Breña; Surya Ganguli; Jonathan M. Bloom; Daniel Yamins (ICML, 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 001; Jiajun Wu 001; Josh Tenenbaum 001; Daniel L. K. Yamins (NeurIPS, 2020)

Identifying Learning Rules From Neural Network Observables. - Aran Nayebi; Sanjana Srivastava; Surya Ganguli; Daniel L. K. Yamins (NeurIPS, 2020)

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 (NeurIPS, 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)

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)

Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. - Aran Nayebi; Rishi Rajalingham; Mehrdad Jazayeri; Guangyu Robert Yang (NeurIPS, 2023)

A Goal-Driven Approach to Systems Neuroscience. - Aran Nayebi (CoRR, 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., 2023)

Barriers and Pathways to Human-AI Alignment: A Game-Theoretic Approach. - Aran Nayebi (CoRR, 2025)

Brain-Model Evaluations Need the NeuroAI Turing Test. - Jenelle Feather; Meenakshi Khosla; N. Apurva Ratan Murty; Aran Nayebi (CoRR, 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, 2025)

An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy. - Aran Nayebi (CoRR, 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, 2025)

Core Safety Values for Provably Corrigible Agents. - Aran Nayebi (CoRR, 2025)

Model-brain comparison using inter-animal transforms. - Imran Thobani; Javier Sagastuy-Breña; Aran Nayebi; Jacob Prince; Rosa Cao; Daniel Yamins (CoRR, 2025)