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Publications about 'Machine Learning'

Thesis

  1. S. Betteti. Associative Memory and Recurrent Neural Networks: A Dynamical Systems Approach. PhD thesis, Information Engineering Department, Università di Padova, Italy, February 2026. PDF Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks, Theoretical Neuroscience. [bibtex-entry]
  2. A. Davydov. Contraction Theory in Control, Learning, and Optimization. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, June 2025. PDF Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks. [bibtex-entry]
  3. V. Centorrino. Contracting Dynamics for Biologically Plausible Neural Networks and Optimization. PhD thesis, Modeling and Engineering Risk and Complexity, Scuola Superiore Meridionale, December 2024. PDF Keyword(s): Contraction Theory, Network Systems, Machine Learning, Neural Networks, Theoretical Neuroscience. [bibtex-entry]
  4. S. Jaffe. Dynamical Systems and Neural Networks: From Implicit Models to Memory Retrieval. PhD thesis, Computer Science Department, University of California at Santa Barbara, September 2024. PDF Keyword(s): Contraction Theory, Network Systems, Machine Learning. [bibtex-entry]

Conference articles

  1. A. Silva, F. Kocayusufoglu, S. Jafarpour, F. Bullo, A. Swami, and A. K. Singh. Combining Physics and Machine Learning for Network Flow Estimation. In International Conference on Learning Representations, Online, May 2021. PDF [bibtex-entry]

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