Cengiz Pehlevan

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 104

Top Venues

Publications

Sheng Yang, Peihan Liu, Cengiz Pehlevan
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space. CoRR (2024)
Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. ICLR (2024)
Blake Bordelon, Hamza Tahir Chaudhry, Cengiz Pehlevan
Infinite Limits of Multi-head Transformer Dynamics. CoRR (2024)
Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan
Asymptotic theory of in-context learning by linear attention. CoRR (2024)
Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
Grokking as the transition from lazy to rich training dynamics. ICLR (2024)
Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan
A Dynamical Model of Neural Scaling Laws. CoRR (2024)
William L. Tong, Cengiz Pehlevan
MLPs Learn In-Context. CoRR (2024)
Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Scaling and renormalization in high-dimensional regression. CoRR (2024)
Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Spectral regularization for adversarially-robust representation learning. CoRR (2024)
Bariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry. NeurIPS (2023)
Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan
Neural networks learn to magnify areas near decision boundaries. CoRR (2023)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Learning Curves for Deep Structured Gaussian Feature Models. NeurIPS (2023)
Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. CoRR (2023)
Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
Loss Dynamics of Temporal Difference Reinforcement Learning. NeurIPS (2023)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. 2023 (2023)
Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. CoRR (2023)
Jacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb. NeurIPS (2023)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Learning curves for deep structured Gaussian feature models. CoRR (2023)
Blake Bordelon, Cengiz Pehlevan
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. NeurIPS (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. CoRR (2023)
Bariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry. CoRR (2023)
Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
Dynamics of Temporal Difference Reinforcement Learning. CoRR (2023)
Alexander Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. ICLR (2023)
Benjamin S. Ruben, Cengiz Pehlevan
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles. NeurIPS (2023)
Benjamin S. Ruben, Cengiz Pehlevan
Learning Curves for Heterogeneous Feature-Subsampled Ridge Ensembles. CoRR (2023)
Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. NeurIPS (2023)
Blake Bordelon, Cengiz Pehlevan
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. CoRR (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. NeurIPS (2023)
Bariscan Bozkurt, Ates Isfendiyaroglu, Cengiz Pehlevan, Alper Tunga Erdogan
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation. ICLR (2023)
Blake Bordelon, Cengiz Pehlevan
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. ICLR (2023)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. ICLR (2023)
Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
Grokking as the Transition from Lazy to Rich Training Dynamics. CoRR (2023)
Blake Bordelon, Cengiz Pehlevan
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. CoRR (2022)
Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? ICLR (2022)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
On Neural Network Kernels and the Storage Capacity Problem. Neural Comput. 34 (5) (2022)
Alexander Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. CoRR (2022)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
On neural network kernels and the storage capacity problem. CoRR (2022)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Biologically plausible single-layer networks for nonnegative independent component analysis. Biol. Cybern. 116 (5) (2022)
Blake Bordelon, Cengiz Pehlevan
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. NeurIPS (2022)
Bariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources. NeurIPS (2022)
Bariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources. CoRR (2022)
Abdulkadir Canatar, Cengiz Pehlevan
A Kernel Analysis of Feature Learning in Deep Neural Networks. Allerton (2022)
Blake Bordelon, Cengiz Pehlevan
Learning Curves for SGD on Structured Features. ICLR (2022)
Bariscan Bozkurt, Ates Isfendiyaroglu, Cengiz Pehlevan, Alper T. Erdogan
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation. CoRR (2022)
Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan
Contrasting random and learned features in deep Bayesian linear regression. CoRR (2022)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. CoRR (2022)
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
Neural Networks as Kernel Learners: The Silent Alignment Effect. ICLR (2022)
Blake Bordelon, Cengiz Pehlevan
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. CoRR (2022)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. CoRR (2022)
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan
Natural gradient enables fast sampling in spiking neural networks. NeurIPS (2022)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. ACSCC (2021)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. NeurIPS (2021)
Trenton Bricken, Cengiz Pehlevan
Attention Approximates Sparse Distributed Memory. NeurIPS (2021)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. CoRR (2021)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Out-of-Distribution Generalization in Kernel Regression. CoRR (2021)
Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Exact marginal prior distributions of finite Bayesian neural networks. NeurIPS (2021)
Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan
Contrastive Similarity Matching for Supervised Learning. Neural Comput. 33 (5) (2021)
Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan
Neural Networks as Kernel Learners: The Silent Alignment Effect. CoRR (2021)
Trenton Bricken, Cengiz Pehlevan
Attention Approximates Sparse Distributed Memory. CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Exact priors of finite neural networks. CoRR (2021)
Blake Bordelon, Cengiz Pehlevan
Learning Curves for SGD on Structured Features. CoRR (2021)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Out-of-Distribution Generalization in Kernel Regression. NeurIPS (2021)
Qianyi Li, Cengiz Pehlevan
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons. NeurIPS (2020)
Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan
Supervised Deep Similarity Matching. CoRR (2020)
Alper T. Erdogan, Cengiz Pehlevan
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules. CoRR (2020)
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Statistical Mechanics of Generalization in Kernel Regression. CoRR (2020)
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. CoRR (2020)
Yibo Jiang, Cengiz Pehlevan
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders. CoRR (2020)
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. ICML (2020)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Activation function dependence of the storage capacity of treelike neural networks. CoRR (2020)
Alper T. Erdogan, Cengiz Pehlevan
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules. ICASSP (2020)
Yibo Jiang, Cengiz Pehlevan
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders. ICML (2020)
Cengiz Pehlevan, Xinyuan Zhao, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neurons as Canonical Correlation Analyzers. Frontiers Comput. Neurosci. 14 (2020)
Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan
A Closer Look at Disentangling in β-VAE. CoRR (2019)
Harshvardhan Sikka, Weishun Zhong, Jun Yin, Cengiz Pehlevan
A Closer Look at Disentangling in β-VAE. ACSSC (2019)
Cengiz Pehlevan, Dmitri B. Chklovskii
Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networks. IEEE Signal Process. Mag. 36 (6) (2019)
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks. CoRR (2019)
Cengiz Pehlevan, Dmitri B. Chklovskii
Neuroscience-inspired online unsupervised learning algorithms. CoRR (2019)
Cengiz Pehlevan
A Spiking Neural Network with Local Learning Rules Derived from Nonnegative Similarity Matching. ICASSP (2019)
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks. NeurIPS (2019)
Cengiz Pehlevan
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching. CoRR (2019)
Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics. ACSSC (2018)
Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? Neural Comput. 30 (1) (2018)
Anirvan M. Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri B. Chklovskii
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks. NeurIPS (2018)
Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. CoRR (2018)
Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. IEEE BigData (2018)
Cengiz Pehlevan, Anirvan M. Sengupta
Resource-efficient perceptron has sparse synaptic weight distribution. SIU (2017)
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
Blind nonnegative source separation using biological neural networks. CoRR (2017)
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
Blind Nonnegative Source Separation Using Biological Neural Networks. Neural Comput. 29 (11) (2017)
Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives. CoRR (2017)
Cengiz Pehlevan, Alexander Genkin, Dmitri B. Chklovskii
A clustering neural network model of insect olfaction. ACSSC (2017)
Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu, Dmitri B. Chklovskii
Do retinal ganglion cells project natural scenes to their principal subspace and whiten them? ACSSC (2016)
Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
Self-calibrating neural networks for dimensionality reduction. ACSSC (2016)
Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
Self-calibrating Neural Networks for Dimensionality Reduction. CoRR (2016)
Cengiz Pehlevan, Dmitri B. Chklovskii
Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening. CoRR (2015)
Cengiz Pehlevan, Dmitri B. Chklovskii
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks. CoRR (2015)
Cengiz Pehlevan, Dmitri B. Chklovskii
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features. CoRR (2015)
Cengiz Pehlevan, Dmitri B. Chklovskii
Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening. Allerton (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cengiz Pehlevan