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conftrace_

latent variable model

632 papers

LVM

Papers

Massively parallel reweighted wake-sleep UAI 2023 Mitigating Negative Style Transfer in Hybrid Dialogue System AAAI 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 NAS-X: Neural Adaptive Smoothing via Twisting NeurIPS 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NeurIPS 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023 Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 Regularized Joint Mixture Models JMLR 2023 RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Semantically-informed Hierarchical Event Modeling ACL 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023 Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes NeurIPS 2023 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023 The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023 Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures COLT 2023 Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables AAAI 2023 Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles ICLR 2023 Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023 Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023 Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022