Bordelon, Blake

27 publications

ICML 2025 A Model of Place Field Reorganization During Reward Maximization M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth, Cengiz Pehlevan

ICML 2025 Adaptive Kernel Predictors from Feature-Learning Infinite Limits of Neural Networks Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan

ICML 2025 Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon, Cengiz Pehlevan

ICLR 2025 Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N Murthy, Samuel J. Gershman

NeurIPS 2025 Don't Be Lazy: CompleteP Enables Compute-Efficient Deep Transformers Nolan Simran Dey, Bin Claire Zhang, Lorenzo Noci, Mufan Li, Blake Bordelon, Shane Bergsma, Cengiz Pehlevan, Boris Hanin, Joel Hestness

ICLR 2025 How Feature Learning Can Improve Neural Scaling Laws Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

ICLRW 2025 Place Field Representation Learning During Policy Learning M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth, Cengiz Pehlevan

ICLR 2025 Scaling Laws for Precision Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Re, Aditi Raghunathan

ICML 2024 A Dynamical Model of Neural Scaling Laws Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

ICMLW 2024 Asymptotic Dynamics for Delayed Feature Learning in a Toy Model Blake Bordelon, Tanishq Kumar, Samuel J. Gershman, Cengiz Pehlevan

ICLR 2024 Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan

ICLR 2024 Grokking as the Transition from Lazy to Rich Training Dynamics Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan

NeurIPS 2024 Infinite Limits of Multi-Head Transformer Dynamics Blake Bordelon, Hamza Chaudhry, Cengiz Pehlevan

NeurIPSW 2023 Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit Blake Bordelon, Lorenzo Noci, Mufan Li, Boris Hanin, Cengiz Pehlevan

NeurIPS 2023 Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks Blake Bordelon, Cengiz Pehlevan

NeurIPS 2023 Feature-Learning Networks Are Consistent Across Widths at Realistic Scales Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan

NeurIPS 2023 Loss Dynamics of Temporal Difference Reinforcement Learning Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan

ICLR 2023 The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks Blake Bordelon, Cengiz Pehlevan

ICLR 2023 The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes Alexander Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan

ICLR 2022 Capacity of Group-Invariant Linear Readouts from Equivariant Representations: How Many Objects Can Be Linearly Classified Under All Possible Views? Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan

NeurIPSW 2022 Capacity of Group-Invariant Linear Readouts from Equivariant Representations: How Many Objects Can Be Linearly Classified Under All Possible Views? Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan

ICLR 2022 Learning Curves for SGD on Structured Features Blake Bordelon, Cengiz Pehlevan

ICLR 2022 Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan

NeurIPS 2022 Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon, Cengiz Pehlevan

UAI 2021 Efficient Online Inference for Nonparametric Mixture Models Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete

NeurIPS 2021 Out-of-Distribution Generalization in Kernel Regression Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan

ICML 2020 Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan