sequential data

Goal-Driven Sequential Data Abstraction ICCV 2019 Kernels for Sequentially Ordered Data JMLR 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Multi-Resolution Weak Supervision for Sequential Data NeurIPS 2019 Sequential Facility Location: Approximate Submodularity and Greedy Algorithm ICML 2019 Variational Temporal Abstraction NeurIPS 2019 Differentially Private Change-Point Detection NeurIPS 2018 Disentangled Sequential Autoencoder ICML 2018 Learning Hidden Quantum Markov Models AISTATS 2018 Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences ACL 2018 LSTBM: A Novel Sequence Representation of Speech Spectra Using Restricted Boltzmann Machine with Long Short-Term Memory Interspeech 2018 Scalable Factorized Hierarchical Variational Autoencoder Training Interspeech 2018 A Birth-Death Process for Feature Allocation ICML 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Filtering Variational Objectives NeurIPS 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NeurIPS 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages NeurIPS 2016 Stochastic Variational Inference for the HDP-HMM AISTATS 2016 A Recurrent Latent Variable Model for Sequential Data NeurIPS 2015 Stochastic variational inference for hidden Markov models NeurIPS 2014 Subspace Clustering for Sequential Data CVPR 2014 Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013