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Publications of S. Jaffe

Thesis

1. 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. Keyword(s): Contraction Theory, Network Systems, Machine Learning. [bibtex-entry]

Conference articles

1. S. Jaffe, A. Davydov, D. Lapsekili, A. K. Singh, and F. Bullo. Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees. In Advances in Neural Information Processing Systems, 2024. Note: To appear. [bibtex-entry]



2. A. Davydov, S. Jaffe, A. K. Singh, and F. Bullo. Retrieving $k$-Nearest Memories with Modern Hopfield Networks. In 2023 NEURIPS Workshop on Associative Memory and Hopfield Networks, December 2023. [bibtex-entry]



3. S. Jaffe, A. K. Singh, and F. Bullo. IDKM: Memory Efficient Neural Network Quantization via Implicit Differentiable $k$-Means. In 2023 ICLR Workshop on Sparsity in Neural Networks, May 2023. Keyword(s): Neural Networks. [bibtex-entry]

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