variational autoencoder

Stochastic Occupancy Grid Map Prediction in Dynamic Scenes CoRL 2023 STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NeurIPS 2023 The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023 The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection ICLR 2023 Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization CVPR 2023 Towards Symmetry-Aware Generation of Periodic Materials NeurIPS 2023 Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence ICCV 2023 Trading Information between Latents in Hierarchical Variational Autoencoders ICLR 2023 Tree Variational Autoencoders NeurIPS 2023 Uncertainty-aware Unsupervised Video Hashing AISTATS 2023 UniMath: A Foundational and Multimodal Mathematical Reasoner EMNLP 2023 UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis AAAI 2023 Unscented Autoencoder ICML 2023 Unsupervised speech enhancement with deep dynamical generative speech and noise models Interspeech 2023 Unveiling the Latent Space Geometry of Push-Forward Generative Models ICML 2023 uSplit: Image Decomposition for Fluorescence Microscopy ICCV 2023 Vacant holes for unsupervised detection of the outliers in compact latent representation UAI 2023 Variational Autoencoding Neural Operators ICML 2023 Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023 Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023 Vector Quantized Time Series Generation with a Bidirectional Prior Model AISTATS 2023 Vector Quantized Wasserstein Auto-Encoder ICML 2023 vONTSS: vMF based semi-supervised neural topic modeling with optimal transport ACL 2023 Vowel Normalisation in Latent Space for Sociolinguistics Interspeech 2023 Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees ICLR 2023