BME7900 Seminar: Johannes Paetzold (Weill Cornell Medicine)

Graphs and structure in training medical vision models Geometric concepts and structure are intuitive to humans but remain underused in neural network training; for example, we naturally understand the shortest path between two locations on a map (a graph problem) or recognize the shape of an object regardless of its orientation (a symmetry problem). Because these concepts are so intuitive, I am convinced that geometry will continue to play a major role in computer vision. In particular, geometric understanding can help align models to human preferences which is especially relevant in this era