Adaptive Sensing and Active Learning Reading List

Curated by Mouhssine Rifaki | Stanford Electrical Engineering | Last updated April 2026

Systems that decide what to sense, when, and how, based on the downstream task.

1. Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems
   Hor and Arbabian. arXiv 2023.
2. Revisiting Active Perception
   Bajcsy, Aloimonos, Tsotsos. Autonomous Robots 2018.
3. Predictive Coding, Variational Autoencoders, and Biological Connections
   Marino. Neural Computation 2021.
4. Theoretical Perspectives on Active Sensing
   Yang, Wolpert, Lengyel. Current Opinion in Behavioral Sciences 2016.
5. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
   Haupt, Baraniuk, Castro, Nowak. IEEE Trans. IT 2011.
6. A Path Towards Autonomous Machine Intelligence
   LeCun. arXiv 2022.
7. Deep Kalman Filters
   Krishnan, Shalit, Sontag. AAAI 2015.
8. Mamba: Linear-Time Sequence Modeling with Selective State Spaces
   Gu and Dao. arXiv 2023.
9. Active Learning Literature Survey
   Settles. University of Wisconsin Technical Report 2009.
10. Learning Active Learning from Data
    Konyushkova, Sznitman, Fua. NeurIPS 2017.