Abstract The cocktail party problem, or speech separation, has evaded a solution for decades in speech and audio processing. I have been advocating a new formulation of this old challenge that estimates an ideal time-frequency[...]

Abstract Combining perceptual learning and logic inference/symbolic reasoning has been a long standing goal of AI. Graph neural networks are powerful representation learning tools for graph data, including but not limited to social networks, molecular[...]