Constrained Parameter Inference as a Principle for Learning

22 March 2022

Papers citing "Constrained Parameter Inference as a Principle for Learning"

6 / 6 papers shown

Title
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines Jesus Garcia Fernandez Nasir Ahmad Marcel van Gerven 27 1 0 17 Oct 2024
Correlations Are Ruining Your Gradient Descent Nasir Ahmad 42 2 0 15 Jul 2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations Jesus Garcia Fernandez Sander Keemink Marcel van Gerven AAML 40 4 0 14 May 2024
Efficient Deep Learning with Decorrelated Backpropagation Sander Dalm Joshua Offergeld Nasir Ahmad Marcel van Gerven 52 4 0 03 May 2024
Effective Learning with Node Perturbation in Multi-Layer Neural Networks Sander Dalm Marcel van Gerven Nasir Ahmad AAML 30 0 0 02 Oct 2023
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization Burcu Küçükoglu Walraaf Borkent Bodo Rueckauer Nasir Ahmad Umut Güçlü Marcel van Gerven 29 2 0 11 Nov 2022