5 papers
Conservation Laws for Diffusion Models
Ziv Aharoni, Henry D. Pfister
While autoregressive models optimize the exact data likelihood via the chain rule, diffusion models are typically trained with denoising objectives. We develop conservation laws ba…
A Study of Neural Polar Decoders for Communication
Rom Hirsch, Ziv Aharoni, Henry D. Pfister +1
In this paper, we adapt and analyze Neural Polar Decoders (NPDs) for end-to-end communication systems. While prior work demonstrated the effectiveness of NPDs on synthetic channels…
Neural Polar Decoders for Deletion Channels
Ziv Aharoni, Henry D. Pfister
This paper introduces a neural polar decoder (NPD) for deletion channels with a constant deletion rate. Existing polar decoders for deletion channels exhibit high computational com…
Neural Polar Decoders for DNA Data Storage
Ziv Aharoni, Henry D. Pfister
Synchronization errors, such as insertions and deletions, present a fundamental challenge in DNA-based data storage systems, arising from both synthesis and sequencing noise. These…
Code Rate Optimization via Neural Polar Decoders
Ziv Aharoni, Bashar Huleihel, Henry D Pfister +1
This paper proposes a method to optimize communication code rates via the application of neural polar decoders (NPDs). Employing this approach enables simultaneous optimization of…