{"total":45,"rows":[{"id":"2404.11599","title":"Variational Bayesian Last Layers","created":"2024-04-17","cited_by_count":69,"area":null},{"id":"2103.04490","title":"Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems","created":"2021-03-07","cited_by_count":39,"area":null},{"id":"2110.13361","title":"A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs","created":"2021-10-26","cited_by_count":32,"area":null},{"id":"2209.11208","title":"A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases","created":"2022-09-22","cited_by_count":30,"area":null},{"id":"2401.00282","title":"Deep Generative Symbolic Regression","created":"2023-12-30","cited_by_count":28,"area":null},{"id":"2106.03195","title":"Meta-Learning Reliable Priors in the Function Space","created":"2021-06-06","cited_by_count":23,"area":null},{"id":"2209.00517","title":"The Neural Process Family: Survey, Applications and Perspectives","created":"2022-09-01","cited_by_count":23,"area":null},{"id":"2209.11820","title":"Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning","created":"2022-09-23","cited_by_count":23,"area":null},{"id":"2103.03697","title":"Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms","created":"2021-03-05","cited_by_count":22,"area":null},{"id":"2204.06716","title":"Control-oriented meta-learning","created":"2022-04-14","cited_by_count":17,"area":null},{"id":"2210.00762","title":"Meta-Learning Priors for Safe Bayesian Optimization","created":"2022-10-03","cited_by_count":14,"area":null},{"id":"2210.12583","title":"Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control","created":"2022-10-23","cited_by_count":13,"area":null},{"id":"2110.13561","title":"Non-Gaussian Gaussian Processes for Few-Shot Regression","created":"2021-10-26","cited_by_count":12,"area":null},{"id":"2311.05241","title":"When Meta-Learning Meets Online and Continual Learning: A Survey","created":"2023-11-09","cited_by_count":12,"area":null},{"id":"2103.12890","title":"Dual Online Stein Variational Inference for Control and Dynamics","created":"2021-03-23","cited_by_count":10,"area":null},{"id":"2107.13682","title":"Bayesian Embeddings for Few-Shot Open World Recognition","created":"2021-07-29","cited_by_count":8,"area":null},{"id":"2305.09129","title":"Graph Reinforcement Learning for Network Control via Bi-Level Optimization","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2405.18758","title":"Learning to Continually Learn with the Bayesian Principle","created":"2024-05-29","cited_by_count":8,"area":null},{"id":"2104.08261","title":"Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty","created":"2021-04-16","cited_by_count":7,"area":null},{"id":"2109.09974","title":"Adaptive Control of SE(3) Hamiltonian Dynamics with Learned Disturbance Features","created":"2021-09-21","cited_by_count":6,"area":null},{"id":"2210.12669","title":"Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks","created":"2022-10-23","cited_by_count":6,"area":null},{"id":"2110.08432","title":"Meta-Learning with Adjoint Methods","created":"2021-10-16","cited_by_count":5,"area":null},{"id":"2111.00639","title":"End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization","created":"2021-11-01","cited_by_count":4,"area":null},{"id":"2210.01881","title":"Tractable Uncertainty-Aware Meta-Learning","created":"2022-10-04","cited_by_count":4,"area":null},{"id":"2210.15513","title":"Lifelong Bandit Optimization: No Prior and No Regret","created":"2022-10-27","cited_by_count":4,"area":null},{"id":"2409.03682","title":"A New First-Order Meta-Learning Algorithm with Convergence Guarantees","created":"2024-09-05","cited_by_count":4,"area":null},{"id":"2110.11044","title":"Bayesian Meta-Learning Through Variational Gaussian Processes","created":"2021-10-21","cited_by_count":3,"area":null},{"id":"2411.00107","title":"First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2504.16923","title":"Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving","created":"2025-04-23","cited_by_count":3,"area":null},{"id":"2204.12466","title":"Meta-free few-shot learning via representation learning with weight averaging","created":"2022-04-26","cited_by_count":2,"area":null},{"id":"2206.09543","title":"Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space","created":"2022-06-20","cited_by_count":2,"area":null},{"id":"2510.01471","title":"Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2205.02329","title":"Second-Order Sensitivity Analysis for Bilevel Optimization","created":"2022-05-04","cited_by_count":1,"area":null},{"id":"2212.01371","title":"Adaptive Robust Model Predictive Control via Uncertainty Cancellation","created":"2022-12-02","cited_by_count":1,"area":null},{"id":"2304.04166","title":"Experience-Based Evolutionary Algorithms for Expensive Optimization","created":"2023-04-09","cited_by_count":1,"area":null},{"id":"2307.00828","title":"Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning","created":"2023-07-03","cited_by_count":1,"area":null},{"id":"2307.08024","title":"Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2402.18946","title":"Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2408.03746","title":"Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling","created":"2024-08-07","cited_by_count":1,"area":null},{"id":"2101.00729","title":"Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization","created":"2021-01-03","cited_by_count":0,"area":null},{"id":"2210.07154","title":"Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference","created":"2022-10-13","cited_by_count":0,"area":null},{"id":"2312.07952","title":"Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2407.19287","title":"Bayesian meta learning for trustworthy uncertainty quantification","created":"2024-07-27","cited_by_count":0,"area":null},{"id":"2601.21988","title":"Generalized Information Gathering Under Dynamics Uncertainty","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2610.16559","title":"Scalable Identification of Physics-Based and Neural Dynamics from Partial Measurements","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}