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Seroussi, Inbar

  1. Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
    2021/12/31 by Inbar Seroussi, Seroussi, Inbar, Gadi Naveh +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. Grokking as a First Order Phase Transition in Two Layer Networks
    2023/10/05 by Rubin, Noa, Seroussi, Inbar, Ringel, Zohar · 8 citations
    #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)
  3. Hitting the High-Dimensional Notes: An ODE for SGD learning dynamics on GLMs and multi-index models
    2023/08/17 by Collins-Woodfin, Elizabeth, Paquette, Courtney, Paquette, Elliot +1 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR) #Statistics Theory (math.ST)
  4. 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
  5. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
    2025/02/05 by Noa Rubin, Rubin, Noa, Kirsten Fischer +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
  6. Speed Limits for Deep Learning
    2023/07/27 by Seroussi, Inbar, Alemi, Alexander A., Helias, Moritz +1 · 1 citation
    #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)