EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja
Research Software Engineer
Aldo Pareja is a research engineer at the MIT-IBM Watson AI Lab. He works on achieving a symbiosis between symbolic and neural AI that should address current sample inefficiency, poor generalization and lack of interpretability of state of the art deep learning models. Before this, Pareja was a masters student at Carnegie Mellon University, where he worked on reinforcement learning and computer vision for robot navigation in unseen environments.
Publications with the MIT-IBM Watson AI Lab