Carmen Amo Alonso

According to our database, Carmen Amo Alonso authored at least 27 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence.

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

CoRR, April, 2026

Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC.

Ryuta Moriyasu, Carmen Amo Alonso, Marco Pavone

CoRR, March, 2026

Observing and Controlling Features in Vision-Language-Action Models.

Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann, Marco Pavone

CoRR, March, 2026

Gated Removal of Normalization in Transformers Enables Stable Training and Efficient Inference.

Andrei Kanavalau, Carmen Amo Alonso, Sanjay Lall

CoRR, February, 2026

GenCtrl - A Formal Controllability Toolkit for Generative Models.

Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodríguez, Xavier Suau

CoRR, January, 2026

Socially-Aware Recommender Systems Mitigate Opinion Clusterization.

Lukas Schüepp, Carmen Amo Alonso, Florian Dörfler, Giulia De Pasquale

CoRR, January, 2026

2025

Design Principles for Sequence Models via Coefficient Dynamics.

Jerome Sieber, Antonio Orvieto, Melanie N. Zeilinger, Carmen Amo Alonso

CoRR, October, 2025

DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning.

Rahel Rickenbach, Bruce Lee, René Zurbrügg, Carmen Amo Alonso, Melanie N. Zeilinger

CoRR, July, 2025

Bridging Expressivity and Scalability with Adaptive Unitary SSMs.

Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann

CoRR, July, 2025

Lambda-Skip Connections: the architectural component that prevents Rank Collapse.

Federico Arangath Joseph, Jerome Sieber, Melanie Nicole Zeilinger, Carmen Amo Alonso

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

System Level Synthesis for Affine Control Policies: Model-Based and Data-Driven Settings.

Lukas Schüepp, Giulia De Pasquale, Florian Dörfler, Carmen Amo Alonso

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

State Space Models as Foundation Models: A Control Theoretic Overview.

Carmen Amo Alonso, Jerome Sieber, Melanie N. Zeilinger

Proceedings of the 2025 American Control Conference, 2025

2024

Linearly Controlled Language Generation with Performative Guarantees.

Emily Cheng, Marco Baroni, Carmen Amo Alonso

CoRR, 2024

Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.

Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

NARRATE: Versatile Language Architecture for Optimal Control in Robotics.

Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees.

Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson

IEEE Trans. Control. Netw. Syst., September, 2023

Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation.

Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni

IEEE Trans. Control. Netw. Syst., June, 2023

Global Performance Guarantees for Localized Model Predictive Control.

Jing Shuang Li, Carmen Amo Alonso

CoRR, 2023

2022

Effective GPU Parallelization of Distributed and Localized Model Predictive Control.

Carmen Amo Alonso, Shih-Hao Tseng

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021

Data-driven Distributed and Localized Model Predictive Control.

Carmen Amo Alonso, Fengjun Yang, Nikolai Matni

CoRR, 2021

Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond.

Jing Shuang Li, Carmen Amo Alonso, John C. Doyle

Proceedings of the 2021 American Control Conference, 2021

2020

MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control.

Jing Shuang Li, Carmen Amo Alonso, John C. Doyle

CoRR, 2020

System Level Synthesis via Dynamic Programming.

Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis.

Carmen Amo Alonso, Nikolai Matni

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis.

Carmen Amo Alonso, Nikolai Matni, James Anderson

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Distributed and Localized Model Predictive Control via System Level Synthesis.

Carmen Amo Alonso, Nikolai Matni

CoRR, 2019

2018

Architecture and Trade-offs in the Heat Shock Response System.

Noah Olsman, Carmen Amo Alonso, John C. Doyle

Proceedings of the 57th IEEE Conference on Decision and Control, 2018