Preliminary Oral Session

2022

Summary of the paper - Measuring Disentanglement - A Review of Metrics
Marc-André Carbonneau
Sep 22, 2022 2:55 PM — 3:10 PM
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, and Akshay Pai
Sep 22, 2022 2:34 PM — 2:42 PM
Training beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Sep 22, 2022 2:26 PM — 2:34 PM
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI
Ayantika Das, Arun Palla, Keerthi Ram, and Mohanasankar Sivaprakasam
Sep 22, 2022 2:18 PM — 2:26 PM
HSIC-InfoGAN Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O’Neil, and Sotirios A. Tsaftaris
Sep 22, 2022 2:10 PM — 2:18 PM
Formalisms for Understanding Progress in Representation Learning
Yash Sharma
Sep 22, 2022 1:35 PM — 2:05 PM
Low-rank and Sparse Metamorphic Autoencoders for Unsupervised Pathology Disentanglement
Hristina Uzunova, Heinz Handels, Jan Ehrhardt
Sep 22, 2022 1:15 PM — 1:30 PM
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs
Tobias Weber, Michael Ingrisch, Bernd Bischl and David Ruegamer
Sep 22, 2022 1:00 PM — 1:15 PM
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, and Nils D. Forkert
Sep 22, 2022 12:45 PM — 1:00 PM
Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations
Helena Montenegro, Wilson Silva, and Jaime S. Cardos
Sep 22, 2022 12:30 PM — 12:45 PM
Disentanglement in Deep Learning- A return to principled design?
Sandy Engelhardt
Sep 22, 2022 11:55 AM — 12:25 PM