latent variable

Exploiting Inferential Structure in Neural Processes UAI 2023 Exploring How Generative Adversarial Networks Learn Phonological Representations ACL 2023 Generative Decoding of Visual Stimuli ICML 2023 Global Perception Based Autoregressive Neural Processes ICCV 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 Harnessing Unrecognizable Faces for Improving Face Recognition WACV 2023 Hidden Markov Transformer for Simultaneous Machine Translation ICLR 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Inference and sampling of point processes from diffusion excursions UAI 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Joint Prompt Optimization of Stacked LLMs using Variational Inference NeurIPS 2023 Language Modeling with Latent Situations ACL 2023 Latent Bottlenecked Attentive Neural Processes ICLR 2023 Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry AAAI 2023 Latent Processes Identification From Multi-View Time Series IJCAI 2023 Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023 Learning Nonparametric Latent Causal Graphs with Unknown Interventions NeurIPS 2023 Linear Causal Disentanglement via Interventions ICML 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Nonparametric Identifiability of Causal Representations from Unknown Interventions NeurIPS 2023 Overlooked Implications of the Reconstruction Loss for VAE Disentanglement IJCAI 2023 Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023 Revisiting Structured Variational Autoencoders ICML 2023 Sentiment as an Ordinal Latent Variable EACL 2023