Buckley, Christopher

10 publications

NeurIPS 2025 $\mu$PC: Scaling Predictive Coding to 100+ Layer Networks Francesco Innocenti, El Mehdi Achour, Christopher Buckley

NeurIPS 2025 A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression Giuseppe Castiglione, Christopher Buckley, Ivor J A Simpson

ICLRW 2025 Self-Supervised Learning Encodes Uncertainty Miguel De Llanza Varona, Ryan Singh, Christopher Buckley

NeurIPSW 2024 Gradient-Free Variational Learning with Conditional Mixture Networks Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley

ICMLW 2024 Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control Poppy Collis, Ryan Singh, Paul Kinghorn, Christopher Buckley

NeurIPSW 2024 Variational Bayes Gaussian Splatting Toon Van de Maele, Ozan Catal, Alexander Tschantz, Christopher Buckley, Tim Verbelen

NeurIPSW 2024 Why Learn if You Can Infer? Robot Arm Control with Hierarchical Active Inference Corrado Pezzato, Christopher Buckley, Tim Verbelen

ICMLW 2023 Attention as Implicit Structural Inference Ryan Singh, Christopher Buckley

ICML 2023 Pretraining Language Models with Human Preferences Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez

ICMLW 2023 Understanding Predictive Coding as a Second-Order Trust-Region Method Francesco Innocenti, Ryan Singh, Christopher Buckley