Blake Bordelon

51 papers A* 21A 1Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperparameter Transfer with Mixture-of-Expert Layers. CoRR Tianze Jiang, Blake Bordelon, Cengiz Pehlevan, Boris Hanin
2026	J	`jnl`	Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model. CoRR Blake Bordelon, Francesco Mori
2025	A*	`conf`	A Model of Place Field Reorganization During Reward Maximization. ICML M. Ganesh Kumar, Blake Bordelon, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2025	A*	`conf`	Adaptive kernel predictors from feature-learning infinite limits of neural networks. ICML Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
2025	J	`jnl`	Adaptive kernel predictors from feature-learning infinite limits of neural networks. CoRR Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
2025	A*	`conf`	Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer. ICML Blake Bordelon, Cengiz Pehlevan
2025	J	`jnl`	Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer. CoRR Blake Bordelon, Cengiz Pehlevan
2025	A*	`conf`	Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex. ICLR Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman
2025	J	`jnl`	Don't be lazy: CompleteP enables compute-efficient deep transformers. CoRR Nolan Dey, Bin Claire Zhang, Lorenzo Noci, Mufan Bill Li, Blake Bordelon, Shane Bergsma, Cengiz Pehlevan, Boris Hanin, Joel Hestness
2025	A*	`conf`	How Feature Learning Can Improve Neural Scaling Laws. ICLR Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan
2025	A*	`conf`	Scaling Laws for Precision. ICLR Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2025	J	`jnl`	Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time. CoRR Blake Bordelon, Mary I. Letey, Cengiz Pehlevan
2025	J	`jnl`	Transfer Learning in Infinite Width Feature Learning Networks. CoRR Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
2025	J	`jnl`	Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models. CoRR Alexander B. Atanasov, Blake Bordelon, Jacob A. Zavatone-Veth, Courtney Paquette, Cengiz Pehlevan
2024	A*	`conf`	A Dynamical Model of Neural Scaling Laws. ICML Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan
2024	J	`jnl`	A Dynamical Model of Neural Scaling Laws. CoRR Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan
2024	A*	`conf`	Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. ICLR Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan
2024	J	`jnl`	Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex. CoRR Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman
2024	A*	`conf`	Grokking as the transition from lazy to rich training dynamics. ICLR Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
2024	J	`jnl`	How Feature Learning Can Improve Neural Scaling Laws. CoRR Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan
2024	A*	`conf`	Infinite Limits of Multi-head Transformer Dynamics. NeurIPS Blake Bordelon, Hamza Tahir Chaudhry, Cengiz Pehlevan
2024	J	`jnl`	Infinite Limits of Multi-head Transformer Dynamics. CoRR Blake Bordelon, Hamza Tahir Chaudhry, Cengiz Pehlevan
2024	J	`jnl`	Scaling Laws for Precision. CoRR Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan
2023	J	`jnl`	Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. CoRR Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan
2023	A*	`conf`	Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. NeurIPS Blake Bordelon, Cengiz Pehlevan
2023	J	`jnl`	Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. CoRR Blake Bordelon, Cengiz Pehlevan
2023	J	`jnl`	Dynamics of Temporal Difference Reinforcement Learning. CoRR Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
2023	A*	`conf`	Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. NeurIPS Nikhil Vyas, Alexander B. Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
2023	J	`jnl`	Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. CoRR Nikhil Vyas, Alexander B. Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
2023	J	`jnl`	Grokking as the Transition from Lazy to Rich Training Dynamics. CoRR Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
2023	A*	`conf`	Loss Dynamics of Temporal Difference Reinforcement Learning. NeurIPS Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
2023	A*	`conf`	The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. ICLR Blake Bordelon, Cengiz Pehlevan
2023	A*	`conf`	The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. ICLR Alexander B. Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan
2022	A*	`conf`	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? ICLR Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
2022	A*	`conf`	Learning Curves for SGD on Structured Features. ICLR Blake Bordelon, Cengiz Pehlevan
2022	A*	`conf`	Neural Networks as Kernel Learners: The Silent Alignment Effect. ICLR Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan
2022	A*	`conf`	Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. NeurIPS Blake Bordelon, Cengiz Pehlevan
2022	J	`jnl`	Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. CoRR Blake Bordelon, Cengiz Pehlevan
2022	J	`jnl`	The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. CoRR Blake Bordelon, Cengiz Pehlevan
2022	J	`jnl`	The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. CoRR Alexander B. Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan
2021	J	`jnl`	Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? CoRR Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
2021	A	`conf`	Efficient online inference for nonparametric mixture models. UAI Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete
2021	J	`jnl`	Learning Curves for SGD on Structured Features. CoRR Blake Bordelon, Cengiz Pehlevan
2021	J	`jnl`	Neural Networks as Kernel Learners: The Silent Alignment Effect. CoRR Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan
2021	A*	`conf`	Out-of-Distribution Generalization in Kernel Regression. NeurIPS Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
2021	J	`jnl`	Out-of-Distribution Generalization in Kernel Regression. CoRR Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
2021	J	`jnl`	Rapid Feature Evolution Accelerates Learning in Neural Networks. CoRR Haozhe Shan, Blake Bordelon
2020	A*	`conf`	Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. ICML Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
2020	J	`jnl`	Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. CoRR Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
2020	J	`jnl`	Statistical Mechanics of Generalization in Kernel Regression. CoRR Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
2018	J	`jnl`	Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks. CoRR Bryce Bagley, Blake Bordelon, Benjamin Moseley, Ralf Wessel