|
Workshop
|
|
Supervising Variational Autoencoder Latent Representations with Language
Thomas Lu · Aboli Marathe · Ada Martin
|
|
|
Workshop
|
|
Supervising Variational Autoencoder Latent Representations with Language
Thomas Lu · Aboli Marathe · Ada Martin
|
|
|
Poster
|
Wed 15:00
|
Tree Variational Autoencoders
Laura Manduchi · Moritz Vandenhirtz · Alain Ryser · Julia Vogt
|
|
|
Workshop
|
|
A Physics-Informed Variational Autoencoder for Rapid Galaxy Inference and Anomaly Detection
Alex Gagliano · Ashley Villar
|
|
|
Poster
|
Thu 8:45
|
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
Paribesh Regmi · Rui Li
|
|
|
Poster
|
Tue 8:45
|
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Michael Bereket · Theofanis Karaletsos
|
|
|
Workshop
|
|
Training a Hopfield Variational Autoencoder with Equilibrium Propagation
Tom Van Der Meersch · Johannes Deleu · Thomas Demeester
|
|
|
Workshop
|
|
A deep generative model of single-cell methylomic data
Ethan Weinberger · Su-In Lee
|
|
|
Poster
|
Wed 8:45
|
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
Seunghwan An · Jong-June Jeon
|
|
|
Workshop
|
|
Predictive variational autoencoder for learning robust representations of time-series data
Julia Wang · Dexter Tsin · Tatiana Engel
|
|
|
Workshop
|
|
Predictive variational autoencoder for learning robust representations of time-series data
Julia Wang · Dexter Tsin · Tatiana Engel
|
|
|
Workshop
|
Sat 9:45
|
FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference Task for Visual Representation Learning
Ivan Vegner · Siddharth N · Leonidas Doumas
|
|
