To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

For a while now, we’ve been talking about transformers, frontier neural network logic models, as a transformative technology, no pun intended. But now, these attention mechanisms have other competing ...