[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems

03/01/2025 23 min Temporada 1 Episodio 5

Listen "[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems"

Episode Synopsis

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

More episodes of the podcast Deep Dive into Networked AI