A curation of books, articles, papers, and other works that I've enjoyed (or am currently enjoying).
Research Papers
Knoll F et al. (2020). Deep-learning methods for parallel magnetic resonance imaging reconstruction. IEEE Signal Process Mag
LinkYu A et al. (2021). Radiance Fields without Neural Networks. arXiv Preprint
LinkDavies A et al. (2021). Advancing mathematics by guiding human intuition with AI. Nature
LinkIglesias JE et al. (2021). Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage
LinkSohl-Dickstein J et al. (2015). Deep unsupervised learning using nonequilibrium thermodynamics. arXiv Preprint
LinkBrophy JAN, Voigt CA. (2014). Principles of genetic circuit design. Nature