6 citations · 7 across the 4 of their papers we have counts for
4 papers
Disentanglement Beyond Generative Models with Riemannian ICA
Edmond Cunningham
There is a gap between the theoretical foundations of disentanglement and the practice of modern representation learning. Existing theoretical frameworks, particularly Independent…
Principal Manifold Flows
Edmond Cunningham, Adam Cobb, Susmit Jha
Normalizing flows map an independent set of latent variables to their samples using a bijective transformation. Despite the exact correspondence between samples and latent variable…
Normalizing Flows Across Dimensions
Edmond Cunningham, Renos Zabounidis, Abhinav Agrawal +2
Real-world data with underlying structure, such as pictures of faces, are hypothesized to lie on a low-dimensional manifold. This manifold hypothesis has motivated state-of-the-art…
Explainable Genetic Inheritance Pattern Prediction
Edmond Cunningham, Dana Schlegel, Andrew DeOrio
Diagnosing an inherited disease often requires identifying the pattern of inheritance in a patient's family. We represent family trees with genetic patterns of inheritance using hy…