Theodorou, Evangelos

28 publications

ICLR 2025 Deep Distributed Optimization for Large-Scale Quadratic Programming Augustinos D Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos Theodorou

ICLR 2025 Feedback Schrödinger Bridge Matching Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos Theodorou

NeurIPS 2025 Momentum Multi-Marginal Schrödinger Bridge Matching Panagiotis Theodoropoulos, Augustinos D Saravanos, Evangelos Theodorou, Guan-Horng Liu

ICLR 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos Theodorou, Molei Tao

ICLR 2024 A Robust Differential Neural Ode Optimizer Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D Saravanos, Evangelos Theodorou

ICLR 2024 Generalized Schrödinger Bridge Matching Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos Theodorou, Ricky T. Q. Chen

ICLR 2024 Generative Modeling with Phase Stochastic Bridge Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos Theodorou, Joshua M. Susskind, Shuangfei Zhai

NeurIPS 2023 Deep Momentum Multi-Marginal Schrödinger Bridge Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos Theodorou

ICMLW 2023 Game Theoretic Neural ODE Optimizer Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou

ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar

NeurIPS 2023 Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou, Molei Tao

NeurIPS 2022 Deep Generalized Schrödinger Bridge Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos Theodorou

ICLR 2022 Likelihood Training of Schrödinger Bridge Using Forward-Backward SDEs Theory Tianrong Chen, Guan-Horng Liu, Evangelos Theodorou

ICLR 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou

ICML 2021 Dynamic Game Theoretic Neural Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou

ICML 2021 Large-Scale Multi-Agent Deep FBSDEs Tianrong Chen, Ziyi O Wang, Ioannis Exarchos, Evangelos Theodorou

ICLR 2021 NOVAS: Non-Convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos, Marcus Aloysius Pereira, Ziyi Wang, Evangelos Theodorou

NeurIPS 2021 Second-Order Neural ODE Optimizer Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou

L4DC 2020 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory Marcus Pereira, Ziyi Wang, Tianrong Chen, Emily Reed, Evangelos Theodorou

L4DC 2020 L1-GP: L1 Adaptive Control with Bayesian Learning Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos Theodorou

CoRL 2020 Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos Theodorou

AISTATS 2019 Accelerating Imitation Learning with Predictive Models Ching-An Cheng, Xinyan Yan, Evangelos Theodorou, Byron Boots

ICML 2017 Variational Policy for Guiding Point Processes Yichen Wang, Grady Williams, Evangelos Theodorou, Le Song

NeurIPS 2015 Sample Efficient Path Integral Control Under Uncertainty Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis

NeurIPS 2014 Probabilistic Differential Dynamic Programming Yunpeng Pan, Evangelos Theodorou

AISTATS 2012 Movement Segmentation and Recognition for Imitation Learning Franziska Meier, Evangelos Theodorou, Stefan Schaal

JMLR 2010 A Generalized Path Integral Control Approach to Reinforcement Learning Evangelos Theodorou, Jonas Buchli, Stefan Schaal

AISTATS 2010 Learning Policy Improvements with Path Integrals Evangelos Theodorou, Jonas Buchli, Stefan Schaal