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Found 2 papers, 1 papers with code
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Global stability and robustness guarantees in learned dynamical systems are essential to ensure well-behavedness of the systems in the face of uncertainty.
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means
We also introduce a variant, IDKM with Jacobian-Free-Backpropagation (IDKM-JFB), for which the time complexity of the gradient calculation is independent of $t$ as well.
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