1. J.S. Brouillon, F. Dörfler, and G. Ferrari-Trecate. Regularization for distributionally robust state estimation and prediction. 7:2713-2718, 2023. Keyword(s): Optimal Transport, Linear Control Design. [bibtex-entry]



2. J.S. Brouillon, A. Martin, J. Lygeros, F. Dörfler, and G. Ferrari-Trecate. Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers. 2023. Note: Submitted. Available at https://arxiv.org/abs/2312.07324. Keyword(s): Optimal Transport, Linear Control Design. [bibtex-entry]



3. N. Lanzetti, A. Terpin, and F. Dörfler. Dynamic Programming in Probability Spaces via Optimal Transport. 2023. Note: To appear. Available at https://arxiv.org/abs/2302.13550. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



4. S. Shafieezadeh-Abadeh, L. Aolaritei, F. Dörfler, and D. Kuhn. New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. June 2023. Note: Submitted. Available at https://arxiv.org/abs/2303.03900. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



5. L. Aolaritei, N. Lanzetti, C. Hongruyu, and F. Dörfler. Distributional Uncertainty Propagation via Optimal Transport. April 2022. Note: Submitted. Available at https://arxiv.org/abs/2205.00343. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



6. L. Aolaritei, S. Shafieezadeh-Abadeh, and F. Dörfler. The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions. June 2022. Note: Submitted. Available at https://arxiv.org/abs/2206.13269. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



7. J. Coulson, J. Lygeros, and F. Dörfler. Distributionally Robust Chance Constrained Data-Enabled Predictive Control. IEEE Transactions on Automatic Control, 67(7):3289-3304, 2022. Keyword(s): Linear Control Design, Data-Driven Control, Behavioral Systems Theory, Distributional Robustness, Optimal Transport. [bibtex-entry]



8. N. Lanzetti, S. Bolognani, and F. Dörfler. First-order Conditions for Optimization in the Wasserstein Space. 2022. Note: Submitted. Available at https://arxiv.org/abs/2209.12197. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]

1. L. Aolaritei, M. Fochesato, J. Lygeros, and F. Dörfler. Wasserstein Tube MPC with Exact Uncertainty Propagation. In Proceedings of the 62nd IEEE Conference on Decision and Control, pages 2036-2041, December 2023. Keyword(s): Data-Driven Control, Linear Control Design, Optimal Transport. [bibtex-entry]



2. L. Aolaritei, N. Lanzetti, and F. Dörfler. Capture, Propagate, and Control Distributional Uncertainty. In Proceedings of the 62nd IEEE Conference on Decision and Control, pages 3081-3086, December 2023. Keyword(s): Data-Driven Control, Linear Control Design, Optimal Transport. [bibtex-entry]



3. N. Lanzetti, E. Balta, D. Liao-McPherson, and F. Dörfler. Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance. In IFAC World Congress, volume 56, pages 3954-3959, December 2023. Keyword(s): Online Optimization, Data-Driven Control, Optimal Transport. [bibtex-entry]



4. N. Lanzetti, F. Dörfler, and N. Pagan. The Impact of Recommendation Systems on Opinion Dynamics: Microscopic versus Macroscopic Effects. In Proceedings of the 62nd IEEE Conference on Decision and Control, pages 4824-4829, December 2023. Keyword(s): Social Networks, Optimal Transport, Recommendation Systems. [bibtex-entry]



5. L. Treven, B. Sukhija, J. Hübotter, F. Dörfler, and A. Krause. Efficient Exploration in Continuous-time Model-based Reinforcement Learning. In NeurIPS, volume 36, 2023. Keyword(s): System Identification, Data-Driven Control, Optimal Transport. [bibtex-entry]



6. N. Lanzetti, J. Hajar, and F. Dörfler. Modeling of Political Systems using Wasserstein Gradient Flows. In Proceedings of the 61st IEEE Conference on Decision and Control, pages 364-369, December 2022. Keyword(s): Social Networks, Optimal Transport. [bibtex-entry]



7. A. Terpin, N. Lanzetti, B. Yardim, F Dörfler, and G. Ramponi. Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. In NeurIPS, 2022. Keyword(s): System Identification, Data-Driven Control, Optimal Transport. [bibtex-entry]



8. L. Treven, P. Wenk, F. Dörfler, and A. Krause. Distributional Gradient Matching for Learning Uncertain Neural Dynamics. In NeurIPS, volume 34, 2021. Keyword(s): System Identification, Data-Driven Control, Optimal Transport. [bibtex-entry]



9. J. Coulson, J. Lygeros, and F. Dörfler. Regularized and distributionally robust data-enabled predictive control. In IEEE Conference on Decision and Control, pages 2696-2701, 2019. Keyword(s): Linear Control Design, Data-Driven Control, Robotic Coordination, Behavioral Systems Theory, Distributional Robustness, Optimal Transport. [bibtex-entry]

1. L. Aolaritei, M. Fochesato, J. Lygeros, and F. Dörfler. Wassestein Tube MPC with Exact Uncertainty Propagation, March 2023. Note: Available at https://arxiv.org/abs/2304.12093. Keyword(s): Data-Driven Control, Linear Control Design, Optimal Transport. [bibtex-entry]



2. L. Aolaritei, N. Lanzetti, and F. Dörfler. Capture, Propagate, and Control Distributional Uncertainty, March 2023. Note: Available at https://arxiv.org/abs/2304.02235. Keyword(s): Data-Driven Control, Linear Control Design, Optimal Transport. [bibtex-entry]



3. J.S. Brouillon, A. Martin, J. Lygeros, F. Dörfler, and G. Ferrari-Trecate. Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers, 2023. Note: Available at https://arxiv.org/abs/2312.07324. Keyword(s): Optimal Transport, Linear Control Design. [bibtex-entry]



4. N. Lanzetti, E. Balta, D. Liao-McPherson, and F. Dörfler. Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance, January 2023. Note: Available at https://arxiv.org/abs/2301.12461. Keyword(s): Online Optimization, Data-Driven Control, Optimal Transport. [bibtex-entry]



5. N. Lanzetti, F. Dörfler, and N. Pagan. The Impact of Recommendation Systems on Opinion Dynamics: Microscopic versus Macroscopic Effects, September 2023. Note: Available at https://arxiv.org/abs/2309.08967. Keyword(s): Social Networks, Optimal Transport, Recommendation Systems. [bibtex-entry]



6. N. Lanzetti, A. Terpin, and F. Dörfler. Dynamic Programming in Probability Spaces via Optimal Transport, February 2023. Note: Available at https://arxiv.org/abs/2302.13550. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



7. S. Shafieezadeh-Abadeh, L. Aolaritei, F. Dörfler, and D. Kuhn. New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization, June 2023. Note: Available at https://arxiv.org/abs/2303.03900. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



8. L. Treven, B. Sukhija, J. Hübotter, F. Dörfler, and A. Krause. Efficient Exploration in Continuous-time Model-based Reinforcement Learning, 2023. Note: Available at https://arxiv.org/abs/2310.19848. Keyword(s): System Identification, Data-Driven Control, Optimal Transport. [bibtex-entry]



9. L. Aolaritei, S. Shafieezadeh-Abadeh, and F. Dörfler. The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions, June 2022. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



10. J. Hajar, N. Lanzetti, and F. Dörfler. Modeling of Political Systems in the Wasserstein Space. Extended Abstract IFAC Workshop on Networked Systems, February 2022. Note: Submitted. Available at https://arxiv.org/abs/2202.02057. Keyword(s): Social Networks, Optimal Transport. [bibtex-entry]



11. N. Lanzetti, S. Bolognani, and F. Dörfler. First-order Conditions for Optimization in the Wasserstein Space, December 2022. Note: Available at https://arxiv.org/abs/2209.12197. Keyword(s): Distributional Robustness, Optimal Transport. [bibtex-entry]



12. N. Lanzetti, J. Hajar, and F. Dörfler. Modeling of Political Systems using Wasserstein Gradient Flows, 2022. Keyword(s): Social Networks, Optimal Transport. [bibtex-entry]



13. A. Terpin, N. Lanzetti, and F Dörfler. From Car to Fleet: The Compositionality of Optimal Control, May 2022. Keyword(s): Distributed Control Algorithms, Robotic Coordination, Optimal Transport. [bibtex-entry]



14. A. Terpin, N. Lanzetti, B. Yardim, F Dörfler, and G. Ramponi. Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions, 2022. Keyword(s): System Identification, Data-Driven Control, Optimal Transport. [bibtex-entry]



15. L. Treven, P. Wenk, F. Dörfler, and A. Krause. Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models, 2021. Note: Available at https://arxiv.org/abs/2106.11609. Keyword(s): Data-Driven Control, System Identification, Optimal Transport. [bibtex-entry]



16. J. Coulson, J. Lygeros, and F. Dörfler. Distributionally Robust Chance Constrained Data-Enabled Predictive Control, 2020. Note: Available at https://arxiv.org/abs/2006.01702. Keyword(s): Linear Control Design, Data-Driven Control, Behavioral Systems Theory, Optimal Transport. [bibtex-entry]



17. J. Coulson, J. Lygeros, and F. Dörfler. Regularized and distributionally robust data-enabled predictive control, March 2019. Note: Available at https://arxiv.org/abs/1903.06804. Keyword(s): Linear Control Design, Data-Driven Control, Robotic Coordination, Behavioral Systems Theory, Optimal Transport. [bibtex-entry]

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