Items where Division is "Computing, Maths, Engineering and Natural Sciences > Physics & Engineering" and Year is 2026

Farzaneh, A., D'Oro, Stefano and Simeone, Osvaldo (2026) Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control. In: International Conference on Machine Learning (ICML).

Hellenbrand, Markus, Estrócio, Nuno, Kim, Ji S., Bakhit, Babak, Istrate, Marian C., Ghica, Corneliu, Rebelo, Tiago, Strkalj, Nives, Varghese, Abin, Almeida, Bernardo, Marques, Luís S., Rajendran, Bipin, MacManus‐Driscoll, Judith L. and Silva, José P. B. (2026) Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO 2 Films. Advanced Functional Materials. ISSN 1616-301X

Huang, J., Farzaneh, A. and Simeone, Osvaldo (2026) Optimized Certainty Equivalent Risk-Controlling Prediction Sets. In: European Signal Processing Conference (EUSIPCO).

Lopane, Fulvio D. and Dawson, Richard J. (2026) Optimisation of Temporary and Demountable Flood Protection for Infrastructure Resilience. Journal of Flood Risk Management, 19 (1). ISSN 1753-318X

Nikoloska, I., Joudeh, H., van Sloun, R. and Simeone, Osvaldo (2026) Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

Wang, B., Zecchin, M. and Simeone, Osvaldo (2026) Distributed Dynamic Associative Memory via Online Convex Optimization. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

Wen, Hao, Simeone, Osvaldo and Xing, Hong (2026) Efficient Federated Conformal Prediction with Group-Conditional Guarantees. In: Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI).

Zecchin, Matteo, Raviv, Tomer, Kalathil, Dileep, Narayanan, Krishna, Shlezinger, Nir and Simeone, Osvaldo (2026) In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. IEEE BITS the Information Theory Magazine. pp. 1-12. ISSN 2692-4110

Zhang, G., Cai, Y., Yu, G. and Simeone, Osvaldo (2026) Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts. In: International Conference on Machine Learning (ICML).