Kevin T. Grosvenor

1. Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
   2021/07/14 by Johanna Erdmenger, Erdmenger, Johanna, Kevin T. Grosvenor +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
2. Hydrodynamics without Boost-Invariance from Kinetic Theory: From Perfect Fluids to Active Flocks
   2024/12/18 by Kevin T. Grosvenor, Niels A. Obers, Grosvenor, Kevin T. +3 · 5 citations
   Engineering · Physics and Astronomy · #Experimental and Theoretical Physics Studies #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Lattice Boltzmann Simulation Studies #Micro and Nano Robotics #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech)
3. Criticality versus uniformity in deep neural networks
   2023/04/10 by Aleksandar Bukva, Bukva, Aleksandar, Jurriaan de Gier +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