Learning Independent Features with Adversarial Nets for Non-linear ICA

13 October 2017

Papers citing "Learning Independent Features with Adversarial Nets for Non-linear ICA"

50 / 57 papers shown

Title
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis Matthew B. Webster Dongheon Lee Joonnyong Lee 27 0 0 12 Apr 2025
DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data Lucas Robinet Ahmad Berjaoui Ziad Kheil Elizabeth Cohen-Jonathan Moyal AI4TS 18 1 0 25 Sep 2024
An Independence-promoting Loss for Music Generation with Language Models Jean-Marie Lemercier Simon Rouard Jade Copet Yossi Adi Alexandre Défossez 30 1 0 04 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 38 2 0 01 Jun 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 20 1 0 29 Feb 2024
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders Matthew B. Webster Joonnyong Lee 22 1 0 31 Aug 2023
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation Xinyi Wang Mei-Yu Lee Qing Zhao Lang Tong AI4TS 20 2 0 05 Jun 2023
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 16 15 0 31 Oct 2022
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach Xinyi Wang Mei-jen Lee Qing Zhao Lang Tong BDL AI4TS 28 0 0 24 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 29 9 0 29 Sep 2022
Semi-Blind Source Separation with Learned Constraints R. C. Gertosio J. Bobin F. Acero 17 2 0 27 Sep 2022
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer Jiaming Liu Qizhe Zhang Jianing Li Ming Lu Tiejun Huang Shanghang Zhang 26 9 0 26 Aug 2022
Disentangling Autoencoders (DAE) Jaehoon Cha Jeyan Thiyagalingam CoGe 28 1 0 20 Feb 2022
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing Hongming Li Shujian Yu José C. Príncipe 14 6 0 07 Feb 2022
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision A. Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordonez VLM CLIP 25 6 0 14 Dec 2021
Representation Learning for Conversational Data using Discourse Mutual Information Maximization Bishal Santra Sumegh Roychowdhury Aishik Mandal Vasu Gurram Atharva Naik Manish Gupta Pawan Goyal SSL 11 4 0 04 Dec 2021
A Normative and Biologically Plausible Algorithm for Independent Component Analysis Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 18 10 0 17 Nov 2021
Estimating and Maximizing Mutual Information for Knowledge Distillation A. Shrivastava Yanjun Qi Vicente Ordonez 19 5 0 29 Oct 2021
Discovery of Single Independent Latent Variable Uri Shaham Jonathan Svirsky Ori Katz Ronen Talmon CML 23 2 0 12 Oct 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 27 3 0 07 Oct 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 27 5 0 18 Sep 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 14 0 14 Jul 2021
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection Xinyi Wang Lang Tong BDL AI4TS 27 12 0 23 Jun 2021
Weakly Supervised Recovery of Semantic Attributes Ameen Ali Tomer Galanti Evgeniy Zheltonozhskiy Chaim Baskin Lior Wolf 18 0 0 22 Mar 2021
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems Kursat Rasim Mestav Xinyi Wang Lang Tong AI4TS 15 27 0 09 Dec 2020
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach Minyoung Kim Ricardo Guerrero Vladimir Pavlovic CoGe CML 7 1 0 01 Dec 2020
Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video Xiaofeng Liu Linghao Jin Xu Han J. You CVBM 20 26 0 20 Oct 2020
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method Chenguang Zhang Yuexian Hou D. Song Liangzhu Ge Yaoshuai Yao 12 4 0 19 Sep 2020
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models Minyoung Kim Vladimir Pavlovic CML DRL 14 4 0 07 Sep 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning Jing-Xuan Zhang Zhenhua Ling Lirong Dai 15 6 0 05 Aug 2020
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations Amrith Rajagopal Setlur Barnabás Póczós A. Black 9 1 0 25 Jul 2020
Learning Diverse Representations for Fast Adaptation to Distribution Shift Daniel Pace A. Russo Murray Shanahan OOD 26 2 0 12 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola Amos Storkey OOD SSL 13 63 0 10 Jun 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 41 44 0 18 Apr 2020
A Critical View of the Structural Causal Model Tomer Galanti Ofir Nabati Lior Wolf CML 21 9 0 23 Feb 2020
WICA: nonlinear weighted ICA Andrzej Bedychaj P. Spurek A. Nowak Jacek Tabor CML 20 1 0 13 Jan 2020
Learning Disentangled Representations via Mutual Information Estimation E. Sanchez M. Serrurier M. Ortner SSL DRL 22 95 0 09 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 14 2 0 09 Dec 2019
Towards Better Understanding of Disentangled Representations via Mutual Information Xiaojiang Yang Wendong Bi Yitong Sun Yu Cheng Junchi Yan CML CoGe DRL 11 1 0 25 Nov 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe BDL CML DRL 19 26 0 06 Sep 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding Mingming Gong Kun Zhang Dacheng Tao CML 17 6 0 04 Sep 2019
The HSIC Bottleneck: Deep Learning without Back-Propagation Kurt Wan-Duo Ma J. P. Lewis W. Kleijn BDL 14 128 0 05 Aug 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 11 568 0 10 Jul 2019
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators Daniel Stoller Sebastian Ewert S. Dixon GAN 11 5 0 29 May 2019
Free Component Analysis: Theory, Algorithms & Applications Hao Wu R. Nadakuditi CML 9 2 0 05 May 2019
Learning gradient-based ICA by neurally estimating mutual information Hlynur Davíð Hlynsson Laurenz Wiskott DRL 12 5 0 22 Apr 2019
Analyzing the benefits of communication channels between deep learning models Philippe Lacaille 11 0 0 19 Apr 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Jingtuo Liu R. He Zhenan Sun GAN 26 4 0 14 Apr 2019
Time Series Source Separation using Dynamic Mode Decomposition Arvind Prasadan R. Nadakuditi AI4TS 21 6 0 04 Mar 2019
Non-linear ICA based on Cramer-Wold metric P. Spurek A. Nowak Jacek Tabor Lukasz Maziarka Stanislaw Jastrzebski CML 11 5 0 01 Mar 2019