Mark Ibrahim

New York, United States

How do we encode our intuitive ability to recognize the same dog while it's jumping during the day or hiding behind a tree at night? Mark is interested in building representations of the factors of variation in the world around us. Mark is exploring how tools from areas such as topology, group theory, and equivariant architectures can shed light on how representations can improve interpretability, robustness, and data-efficiency (semi- or self-supervised settings).