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ORCIDCarmen Amo Alonso
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2020 – today
- 2026
[i23]Lukas Schüepp, Carmen Amo Alonso, Florian Dörfler, Giulia De Pasquale:
Socially-Aware Recommender Systems Mitigate Opinion Clusterization. CoRR abs/2601.02412 (2026)- [i22]Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodríguez, Xavier Suau:
GenCtrl - A Formal Controllability Toolkit for Generative Models. CoRR abs/2601.05637 (2026) - [i21]Andrei Kanavalau, Carmen Amo Alonso, Sanjay Lall:
Gated Removal of Normalization in Transformers Enables Stable Training and Efficient Inference. CoRR abs/2602.10408 (2026) - [i20]Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann, Marco Pavone:
Observing and Controlling Features in Vision-Language-Action Models. CoRR abs/2603.05487 (2026) - [i19]Ryuta Moriyasu, Carmen Amo Alonso, Marco Pavone:
Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC. CoRR abs/2603.29265 (2026) - [i18]Anthony Zador
, Jean-Marc Fellous, Terrence J. Sejnowski, Gina Adam, James B. Aimone, Akwasi Akwaboah, Yiannis Aloimonos, Carmen Amo Alonso, Chiara Bartolozzi, Michael J. Bennington, Michael Berry, Bingni W. Brunton, Gert Cauwenberghs, Hillel J. Chiel, Tobi Delbruck, John Doyle, Jason Eshraghian, Ralph Etienne-Cummings, Cornelia Fermüller, Matthew Jacobsen, Ali A. Minai, Barbara Oakley, Alexander G. Ororbia II, Joe Paton, Blake A. Richards, Yulia Sandamirskaya, Abhronil Sengupta, Shihab Shamma, Michael P. Stryker, Seong Jong Yoo, Steven W. Zucker:
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence. CoRR abs/2604.18637 (2026) - 2025
- [c11]Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger:
State Space Models as Foundation Models: A Control Theoretic Overview. ACC 2025: 146-153 - [c10]Lukas Schüepp, Giulia De Pasquale, Florian Dörfler, Carmen Amo Alonso:
System Level Synthesis for Affine Control Policies: Model-Based and Data-Driven Settings. CDC 2025: 1986-1992 - [c9]Federico Arangath Joseph, Jerome Sieber, Melanie Nicole Zeilinger, Carmen Amo Alonso:
Lambda-Skip Connections: the architectural component that prevents Rank Collapse. ICLR 2025 - [i17]Lukas Schüepp, Giulia De Pasquale, Florian Dörfler, Carmen Amo Alonso:
System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings. CoRR abs/2504.01677 (2025) - [i16]Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann:
Bridging Expressivity and Scalability with Adaptive Unitary SSMs. CoRR abs/2507.05238 (2025) - [i15]Rahel Rickenbach, Bruce Lee, René Zurbrügg, Carmen Amo Alonso, Melanie N. Zeilinger:
DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning. CoRR abs/2507.12855 (2025) - [i14]Jerome Sieber, Antonio Orvieto, Melanie N. Zeilinger, Carmen Amo Alonso:
Design Principles for Sequence Models via Coefficient Dynamics. CoRR abs/2510.09389 (2025) - 2024
- [c8]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. IROS 2024: 9628-9635 - [c7]Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto:
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks. NeurIPS 2024 - [i13]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. CoRR abs/2403.10762 (2024) - [i12]Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger:
State Space Models as Foundation Models: A Control Theoretic Overview. CoRR abs/2403.16899 (2024) - [i11]Emily Cheng, Marco Baroni, Carmen Amo Alonso:
Linearly Controlled Language Generation with Performative Guarantees. CoRR abs/2405.15454 (2024) - [i10]Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto:
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks. CoRR abs/2405.15731 (2024) - [i9]Federico Arangath Joseph, Jerome Sieber, Melanie N. Zeilinger, Carmen Amo Alonso:
Lambda-Skip Connections: the architectural component that prevents Rank Collapse. CoRR abs/2410.10609 (2024) - 2023
- [j2]Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni:
Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. IEEE Trans. Control. Netw. Syst. 10(2): 1058-1068 (2023) - [j1]Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson:
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. IEEE Trans. Control. Netw. Syst. 10(3): 1113-1123 (2023) - [i8]Jing Shuang Li, Carmen Amo Alonso:
Global Performance Guarantees for Localized Model Predictive Control. CoRR abs/2303.11264 (2023) - 2022
- [c6]Carmen Amo Alonso, Shih-Hao Tseng:
Effective GPU Parallelization of Distributed and Localized Model Predictive Control. ICCA 2022: 199-206 - [i7]Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson:
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR abs/2203.00780 (2022) - 2021
- [c5]Jing Shuang Li, Carmen Amo Alonso, John C. Doyle:
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond. ACC 2021: 2720-2725 - [i6]Carmen Amo Alonso, Shih-Hao Tseng:
Effective GPU Parallelization of Distributed and Localized Model Predictive Control. CoRR abs/2103.14990 (2021) - [i5]Carmen Amo Alonso, Fengjun Yang, Nikolai Matni:
Data-driven Distributed and Localized Model Predictive Control. CoRR abs/2112.12229 (2021) - 2020
- [c4]Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han:
System Level Synthesis via Dynamic Programming. CDC 2020: 1718-1725 - [c3]Carmen Amo Alonso, Nikolai Matni:
Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis. CDC 2020: 5598-5605 - [c2]Carmen Amo Alonso, Nikolai Matni, James Anderson:
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CDC 2020: 5606-5613 - [i4]Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han:
System Level Synthesis via Dynamic Programming. CoRR abs/2004.12567 (2020) - [i3]Carmen Amo Alonso, Nikolai Matni, James Anderson:
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR abs/2005.13807 (2020) - [i2]Jing Shuang Li, Carmen Amo Alonso, John C. Doyle:
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control. CoRR abs/2010.01292 (2020)
2010 – 2019
- 2019
- [i1]Carmen Amo Alonso, Nikolai Matni:
Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR abs/1909.10074 (2019) - 2018
- [c1]Noah Olsman, Carmen Amo Alonso, John C. Doyle:
Architecture and Trade-offs in the Heat Shock Response System. CDC 2018: 1096-1103
Coauthor Index
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