Zohar Ringel

1. Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
   2021/12/31 by Inbar Seroussi, Gadi Naveh, Seroussi, Inbar +3 · 6 citations
   Computer Science · Materials Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques
2. Applications of Statistical Field Theory in Deep Learning
   2025/02/25 by Zohar Ringel, Ringel, Zohar, Noa Rubin +6 · 6 citations
   Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Statistical Mechanics and Entropy
3. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
   2025/02/05 by Noa Rubin, Kirsten Fischer, Rubin, Noa +13 · 3 citations
   Computer Science · #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 Networks and Applications