conftrace_

latent component

11 papers

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Co-occurring keywords · papers mentioning both

representation learning (3) poisson factorization (2) time series (2) collaborative filtering (2) matrix factorization (2) bayesian nonparametrics (2) contrastive learning (2) dictionary learning (2) nonlinear ica (1) metadata integration (1)

Papers

A Model for Combinatorial Dictionary Learning and Inference ALT 2025 Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics JMLR 2024 Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data AISTATS 2023 Granger Components Analysis: Unsupervised learning of latent temporal dependencies NeurIPS 2023 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NeurIPS 2021 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation IJCAI 2018 Rich Component Analysis ICML 2016 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Similarity Component Analysis NeurIPS 2013