Jefferson, Ro
- Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
2021/07/14 by Johanna Erdmenger, Kevin T. Grosvenor, Erdmenger, Johanna +3 · 5 citations
Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantum many-body systems #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Stochastic Gradient Optimization Techniques
- The edge of chaos: quantum field theory and deep neural networks
2021/09/27 by Grosvenor, Kevin T., Jefferson, Ro · 4 citations
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Criticality versus uniformity in deep neural networks
2023/04/10 by Aleksandar Bukva, Jurriaan de Gier, Bukva, Aleksandar +9 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Algebraic perturbation theory: traversable wormholes and generalized entropy beyond subleading order
2025/01/02 by Shadi Ali Ahmad, Ro Jefferson, Ahmad, Shadi Ali +1 · 2 citations
Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics
- Predictive Coding Networks and Inference Learning: Tutorial and Survey
2024/07/04 by van Zwol, Björn, Jefferson, Ro, Broek, Egon L. van den · 1 citation
#Artificial Intelligence (cs.AI) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)