Wu et al. use a feathered saturated mask to replace the light source.

They derived a parallel form of Newton's method to solve the fixed-point problem and achieved significant speedups over sequential evaluation.

Although importance sampling (IS) provides a basic principle for OPE, it is ill-posed for the deterministic target policy with continuous actions.

Addernet: Do we really need multiplications in deep learning?

DNNs arelargely composed ofmultiplication operations for both forward and backward propagation, which are much more computationally costly than addition [1].

Unlike commonly used iterative ODE solvers that necessitate time discretization, event-based simulations resolve neural network dynamics precisely between spike events.

Unlike commonly used iterative ODE solvers that necessitate time discretization, event-based simulations resolve neural network dynamics precisely between spike events.