Parsimonious Online Learning with Kernels and Random Features with Applications to Stochastic Optimal Control

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Parsimonious Online Learning with Kernels and Random Features with Applications to Stochastic Optimal Control

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Interactive symbolic regression with co-design mechanism through offline reinforcement learning

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Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

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Bayesian reconstruction of memories stored in neural networks from their connectivity

Drift Estimation of Multiscale Diffusions Based on Filtered Data

Robust Classification Using Contractive Hamiltonian Neural ODEs

NeuralTree: A 256-Channel 0.227-mu J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC

What Makes for Automatic Reconstruction of Pulmonary Segments

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Mismatched Estimation of Non-Symmetric Rank-One Matrices Under Gaussian Noise

Hyperaccurate bounds in discrete-state Markovian systems

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks