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20242026
most citedBayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems

4 citations · 7 across the 6 of their papers we have counts for

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cs.LG2026

Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement Learning

Xinjie Liu, Ruihan Zhao, Anirban Chaudhuri +3

Policy gradient methods for on-policy reinforcement learning (RL) can become unstable when expensive, scarce target-domain data yield noisy gradient estimates. We address this chal…

stat.ML2026

Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference

Shane A. McQuarrie, Mengwu Guo, Anirban Chaudhuri

This work develops an active learning framework to intelligently enrich data-driven reduced-order models (ROMs) of parametric dynamical systems, which can serve as the foundation o…