AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks. - Vivswan Shah; Nathan Youngblood (CoRR, 2022)

Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments. - Vivswan Shah; Nathan Youngblood (CoRR, 2024)