Knowledge Distillation for learning nonlinear pulse propagation

Naveenta Gautam; Naveenta Gautam; Vinay Kaushik; Amol Choudhary; Amol Choudhary; Amol Choudhary; Brejesh Lall; Brejesh Lall

doi:10.1364/FIO.2022.JTu5B.61

Frontiers in Optics + Laser Science 2022 (FIO, LS)
Technical Digest Series (Optica Publishing Group, 2022),
paper JTu5B.61
•https://doi.org/10.1364/FIO.2022.JTu5B.61

Knowledge Distillation for learning nonlinear pulse propagation

Naveenta Gautam, Vinay Kaushik, Amol Choudhary, and Brejesh Lall

Frontiers in Optics 2022

Rochester, New York United States
17–20 October 2022
ISBN: 978-1-957171-17-3

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Joint Poster Session IIB (Remote) (JTu5B)

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N. Gautam, V. Kaushik, A. Choudhary, and B. Lall, "Knowledge Distillation for learning nonlinear pulse propagation," in Frontiers in Optics + Laser Science 2022 (FIO, LS), Technical Digest Series (Optica Publishing Group, 2022), paper JTu5B.61.

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Abstract

This paper utilises knowledge distillation to compress a convolutional neural network trained to learn the nonlinear Schrodinger equation. The teacher-taught student network has improved generalisation, quicker convergence, and fewer trainable parameters. The proposed network is 91.2% compressed with a mean square error comparable to the teacher.

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