Mathematical Engineering and the Information Sciences

Ali H. Sayed is the Dean of Engineering at École Polytechnique Fédérale de Lausanne, Switzerland, where he also directs the Adaptive Systems Laboratory. José M. F. Moura is the Philip L. and Marsha Dowd University Professor at Carnegie Mellon University, USA.

• Section I. Learning TheoryChapter 1. Diffusion and Backward Markovian Models; Ali H. SayedChapter 2. AI Foundation Models for Time Series with Innovations Representation; Lang Tong and Xinyi WangChapter 3. Transformer-Based Foundation Models; Zejiang Hou and Sun-Yuan KungChapter 4. World Models and Semantics: From Panini to Wittgenstein to LLMs; Vwani Roychowdhury, Pavan Holur, and Shreyas RajeshSection II. Networked SystemsChapter 5. Graph Signal Processing: Linearity and Shift Invariance Revisited; José M. F. MouraChapter 6. Trust-Based Resilient Consensus Methods; Michal Yemini, Stephanie Gil, and Angelia NedićChapter 7. Aging with Stability: Maintaining Stable Network Control with Aged Information; Priyanka Kaswan and Andrea GoldsmithChapter 8. Autonomous Convoy Traffic via Myopic Interactions; Dmitry Rabinovich and Alfred M. BrucksteinSection III. Estimation TheoryChapter 9. Analytical and Functional Properties of the Conditional Mean Estimator; Alex Dytso and H. Vincent PoorChapter 10. Generalized Splines and Gaussian Processes; Michael UnserChapter 11. Online Learning via Projections onto Convex Sets; Sergios TheodoridisChapter 12. Iteratively Saturated Kalman Filtering; Alan Yang and Stephen BoydChapter 13. Parametrization of Stochastic Variables; Patrick DewildeSection IV. CommunicationsChapter 14. Green ADCs; Satish Mulleti, Yhonatan Kvich, and Yonina C. EldarChapter 15. Canonical Multiuser MMSE Design; John M. Cioffi, Abhiram Rao Gorle, and Sagnik BhattacharyaChapter 16. Design Principles and Theoretical Insights in MIMO and Relay Networks; Hyun Jong Yang and Arogyaswami PaulrajChapter 17. Array Processing for Sensing and Communications; Bjorn Ottersten and A. Lee Swindlehurst