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Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assembly., , , , and . CoRR, (2023)Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs., , and . CoRR, (2024)Optimal Mass Transport over the Euler Equation., , and . CDC, page 6819-6826. IEEE, (2023)A Controlled Mean Field Model for Chiplet Population Dynamics., , and . CoRR, (2023)A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly., , , and . CoRR, (2022)A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly., , , and . ACC, page 609-615. IEEE, (2023)LMI-based robust mixed-integer model predictive control for hybrid systems., and . Int. J. Control, 93 (10): 2336-2345 (2020)Proximal Mean Field Learning in Shallow Neural Networks., , and . CoRR, (2022)A Mixed Integer Approach to Solve Hybrid Model Predictive Control Problems., and . CDC, page 1956-1961. IEEE, (2022)Schrödinger Meets Kuramoto via Feynman-Kac: Minimum Effort Distribution Steering for Noisy Nonuniform Kuramoto Oscillators., and . CDC, page 2953-2960. IEEE, (2022)