Our paper on Short Time Fourier Transform (STFT) phase retrieval was recently published at the 34th European Signal Processing Conference! We showed that neural networks can perform speech phase retreival given far fewer samples than what is mathematically required. Read it here.

I participated in the super exciting Mathematical Research Community (MRC) on Explainable, Interpretable, and Adversarial AI at Beaver Hollow, NY! A lot of things were discussed–including the capabilities of transformers, latent geometries of language models, and neural collapse. You can hear more on these matters at the upcoming Joint Math Meetings in Seattle at the special session for this MRC.