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.

Top Work

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Graph Deep Learning

Publications with the MIT-IBM Watson AI Lab

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
 
Scalable Graph Learning for Anti-Money Laundering: A First Look
Scalable Graph Learning for Anti-Money Laundering: A First Look