control theory

ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees L4DC 2026 Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML 2025 Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems L4DC 2025 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory ICLR 2025 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 Learning interpretable control inputs and dynamics underlying animal locomotion ICLR 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Optimization Algorithm Design via Electric Circuits NeurIPS 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Conformal PID Control for Time Series Prediction NeurIPS 2023 Focus Your Attention (with Adaptive IIR Filters) EMNLP 2023 Online Control for Meta-optimization NeurIPS 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Stabilizing GANs’ Training with Brownian Motion Controller ICML 2023 iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data ICLR 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022 Optimal Dynamic Regret in LQR Control NeurIPS 2022 Rethinking Controllable Variational Autoencoders CVPR 2022 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 PID Accelerated Value Iteration Algorithm ICML 2021