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Found 9 papers, 0 papers with code
Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering
The Koopman operator is one of them, which enables us to employ linear analysis for nonlinear dynamical systems.
Extraction of nonlinearity in neural networks and model compression with Koopman operator
Nonlinearity plays a crucial role in deep neural networks.
Attention-Enhanced Reservoir Computing
Photonic reservoir computing has been recently utilized in time series forecasting as the need for hardware implementations to accelerate these predictions has increased.
Characterization of Locality in Spin States and Forced Moves for Optimizations
Ising formulations are widely utilized to solve combinatorial optimization problems, and a variety of quantum or semiconductor-based hardware has recently been made available.
Embedding stochastic differential equations into neural networks via dual processes
We propose a new approach to constructing a neural network for predicting expectations of stochastic differential equations.
Efficient correlation-based discretization of continuous variables for annealing machines
However, there is a severe constraint on the number of binary variables with such machines.
Semi-supervised learning combining backpropagation and STDP: STDP enhances learning by backpropagation with a small amount of labeled data in a spiking neural network
It is possible to implement the proposed learning method for event-driven systems.
Connection among stochastic Hamilton-Jacobi-Bellman equation, path-integral, and Koopman operator on nonlinear stochastic optimal control
This paper gives a new insight into nonlinear stochastic optimal control problems from the perspective of Koopman operators.
Optimization and Control Statistical Mechanics
Derivation of QUBO formulations for sparse estimation
We propose a quadratic unconstrained binary optimization (QUBO) formulation of the l1-norm, which enables us to perform sparse estimation of Ising-type annealing methods such as quantum annealing.
