cflamant

Two frozen language models wired together through a small trainable interface on their hidden states, so they can share their thinking as it happens instead of trading text.

Learning families of solutions to differential equations using deep neural networks for efficient parallel evaluation.

Created one of the first public implementations of DeepMind's neural stack architecture.

Extending TDDFT to imaginary time as a novel approach to reliably finding the ground state of quantum systems.