In this episode, we dive into annealed Langevin dynamics, a new approach to linear inverse problems, such as massive MIMO detection, image deblurring, and network topology inference. This episode is based on two papers published in IEEE Transactions on Wireless Communications (TWC) and IEEE Transactions on Signal Processing by Nicolas Zilberstein, et. al.

Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.

🎧 Read the papers here: [TWC], [TSP]

📷 Cover Image Source: imagine.art, Microsoft Designer

🎵 BGM: Artlist.io

🛠️ Credits: NotebookLM by Google