Full Professor, Harvard University
2 papers at NeurIPS 2025
MIMIC leverages language-based inner speech mechanisms as a mediational framework between perception and action to enable both diverse imitation of human behavior and fine-grained steering of artificial agents during inference time.
We propose the first deep menu-based method for single-bidder combinatorial auctions that is dominant-strategy incentive compatible and revenue-optimizing, by adapting continuous flow matching for optimization problems.
