SOM-VAE: Interpretable Discrete Representation Learning on Time Series

6 June 2018

Francesco Locatello

Papers citing "SOM-VAE: Interpretable Discrete Representation Learning on Time Series"

20 / 20 papers shown

Title
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 43 1 0 03 Apr 2025
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Symmetrical SyncMap for Imbalanced General Chunking Problems Heng Zhang Danilo Vasconcellos Vargas 13 0 0 16 Oct 2023
LSOR: Longitudinally-Consistent Self-Organized Representation Learning J. Ouyang Qingyu Zhao Ehsan Adeli Wei Peng Greg Zaharchuk K. Pohl 35 1 0 30 Sep 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 24 4 0 05 Jun 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen Kazuki Irie Róbert Csordás Jürgen Schmidhuber SSL 32 1 0 15 Feb 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 33 10 0 01 Jan 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning Guoxi Zhang H. Kashima OffRL 29 2 0 29 Nov 2022
Task-aware Similarity Learning for Event-triggered Time Series Shaoyu Dou Kai Yang Yang Jiao Chengbo Qiu Kui Ren AI4TS 29 0 0 17 Jul 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 16 13 0 02 Mar 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 13 40 0 03 Dec 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Phil Chen Masha Itkina Ransalu Senanayake Mykel J. Kochenderfer 36 6 0 27 Oct 2021
Temporal Clustering with External Memory Network for Disease Progression Modeling Zicong Zhang Changchang Yin Ping Zhang 34 1 0 29 Sep 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song AI4TS 16 6 0 04 Oct 2020
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression Changhee Lee M. Schaar OOD 16 53 0 15 Jun 2020
Continual General Chunking Problem and SyncMap Danilo Vasconcellos Vargas Toshitake Asabuki 16 7 0 14 Jun 2020
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 17 245 0 09 Jul 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 29 122 0 03 May 2019
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 22 31 0 06 Jun 2018