316 citations
- Universidad Autónoma de MadridES14 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE12 papers
- University of the Basque CountryES5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Laboratoire Jacques-Louis LionsFR3 papers
- Sorbonne UniversitéFR3 papers
- Association of Electronic and Information TechnologiesES2 papers
- Middlesex University LondonGB2 papers
- Tianjin UniversityCN2 papers
- Université Paris DiderotFR2 papers
- Bayer (Germany)DE1 paper
- Catholic University of KoreaKR1 paper
40 papers
Polarization-Diversity-Based Rotation Sensing Methodology Using COTS UHF RFID Tags
Florian Muralter, Fabian Muralter, Hugo Landaluce +1
Phase-based sensing using ultra-high frequency (UHF) radio-frequency identification (RFID) has, in recent years, yielded numerous additions to the Internet of Things (IoT). This wo…
Moments, Time-Inversion and Source Identification for the Heat Equation
Kang Liu, Enrique Zuazua
We address the initial source identification problem for the heat equation, a notably ill-posed inverse problem characterized by exponential instability. Departing from classical T…
Turnpike in optimal control and beyond: a survey
Emmanuel Trélat, Enrique Zuazua
The turnpike principle is a fundamental concept in optimal control theory, stating that for a wide class of long-horizon optimal control problems, the optimal trajectory spends mos…
Exact Sequence Interpolation with Transformers
Albert Alcalde, Giovanni Fantuzzi, Enrique Zuazua
We prove that transformers can exactly interpolate datasets of finite input sequences in , , with corresponding output sequences of smaller or equal length.…
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
Alain Andres, Aitor Martinez-Seras, Ibai Laña +1
In the realm of human-machine interaction, artificial intelligence has become a powerful tool for accelerating data modeling tasks. Object detection methods have achieved outstandi…
A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation Disagreement
Guillermo Villate-Castillo, Javier Del Ser, Borja Sanz
Content moderation typically combines the efforts of human moderators and machine learning models. However, these systems often rely on data where significant disagreement occurs d…