We quantify the impact of thermo-optic and free-carrier effects on time-...
The end-to-end optimization of links based on directly-modulated lasers ...
We propose spectrum-sliced reservoir computer-based (RC) multi-symbol
eq...
We demonstrate transfer learning-assisted neural network models for opti...
End-to-end learning has become a popular method to optimize a constellat...
Photonic integrated circuits are facilitating the development of optical...
We experimentally validate a real-time machine learning framework, capab...
The problem of Raman amplifier optimization is studied. A differentiable...
The optical fiber multiple-input multiple-output (MIMO) channel with
int...
We experimentally compare simple physics-based vs. data-driven
neural-ne...
Throughput optimization of optical communication systems is a key challe...
Cascades of a machine learning-based EDFA gain model trained on a single...
We report a neural-network based erbium-doped fiber amplifier (EDFA) gai...
Probabilistic shaping for intensity modulation and direct detection (IM/...
The rate flexibility and probabilistic shaping gain of 4-dimensional
sig...