# Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels

arXiv: https://arxiv.org/abs/2602.02716 · HTML: https://mlsanity.com/paper/2602.02716/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 1 references that are in the map.
- First posted on arXiv 2 Feb 2026.

## Built on by (most cited first, 1 of 1)

- [Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language](https://mlsanity.com/paper/2605.28143/) (2026)

## Abstract (arXiv)

We introduce neural probabilistic amplitude shaping, a joint-distribution learning framework for coherent fiber systems. The proposed scheme provides a 0.5 dB signal-to-noise ratio gain over sequence selection for dual-polarized 64-QAM transmission across a single-span 205 km link.
