Evangelos Theodorou

Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025 Feedback Schrödinger Bridge Matching ICLR 2025 Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving RSS 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups ICLR 2025 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 Differentiable Robust Model Predictive Control RSS 2024 Generalized Schrödinger Bridge Matching ICLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems RSS 2023 I$^2$SB: Image-to-Image Schrödinger Bridge ICML 2023 Mirror Diffusion Models for Constrained and Watermarked Generation NeurIPS 2023 Deep Generalized Schrödinger Bridge NeurIPS 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 Parameterized Differential Dynamic Programming RSS 2022 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021 Dynamic Game Theoretic Neural Optimizer ICML 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021 Second-Order Neural ODE Optimizer NeurIPS 2021 Variational Inference MPC using Tsallis Divergence RSS 2021 Deep Learning Tubes for Tube MPC RSS 2020 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020 L1-GP: L1 Adaptive Control with Bayesian Learning L4DC 2020 Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs CoRL 2020 Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design RSS 2020 Accelerating Imitation Learning with Predictive Models AISTATS 2019 Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019 Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 Robust Sampling Based Model Predictive Control with Sparse Objective Information RSS 2018 Variational Policy for Guiding Point Processes ICML 2017 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Sample Efficient Path Integral Control under Uncertainty NeurIPS 2015 Probabilistic Differential Dynamic Programming NeurIPS 2014 Movement Segmentation and Recognition for Imitation Learning AISTATS 2012 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012 A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010 Learning Policy Improvements with Path Integrals AISTATS 2010