Undergraduate Research Assistant
Published:
- Developed and trained neural networks in PyTorch to address nonlinear inverse problems in slitless instantaneous spectral imaging.
- Engineered an optimization-inspired neural network architecture that surpassed UNet by 10% in reconstruction quality.
- Integrated iterative optimization principles into the neural network architecture to improve robustness against input distribution shifts.