variational autoencoder

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models NeurIPS 2024 Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024 GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles AAAI 2024 IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics ICML 2024 Interpreting Equivariant Representations ICML 2024 Invariance-based Learning of Latent Dynamics ICLR 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming ICML 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance Interspeech 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024 Learning Multi-Faceted Prototypical User Interests ICLR 2024 Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments ICLR 2024 LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search NSDI 2024 LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models NeurIPS 2024 LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024 Long-Tailed Anomaly Detection with Learnable Class Names CVPR 2024 Manifold Learning by Mixture Models of VAEs for Inverse Problems JMLR 2024 MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space ACL 2024