[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems

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Deep Dive into Networked AI

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10 episodes

2 days ago

Explore the cutting-edge of artificial intelligence (AI), machine learning, optimization, signal processing, wireless communications, networking, and broader networked systems. Join us as we dive deep into frontier research papers, uncover groundbreaking innovations, and discuss the possibilities shaping the future of technology and science.

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[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems

Deep Dive into Networked AI

23 minutes 18 seconds

10 months ago

[Deep Dive] Annealed Langevin Dynamics for Linear Inverse Problems

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