Conditional variational generative network for attosecond pulse retrieval

We present a conditional variational generative network (CVGN) for characterizing attosecond XUV pulses from noisy streaking traces. CVGN captures the uncertainty and ambiguity arising from the streaking process, providing guidelines to attosecond pump-probe experiments.