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Variational Inference

2,186 papers

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Papers

Lifelong Generative Modelling Using Dynamic Expansion Graph Model AAAI 2022 Long Text Generation with Topic-aware Discrete Latent Variable Model EMNLP 2022 Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022 Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NeurIPS 2022 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching ICML 2022 Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening CVPR 2022 Mesoscopic modeling of hidden spiking neurons NeurIPS 2022 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NeurIPS 2022 Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems ALT 2022 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NeurIPS 2022 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022 Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022 MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection SemEval 2022 Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder EMNLP 2022 Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract) AAAI 2022 Modeling sRGB Camera Noise With Normalizing Flows CVPR 2022 Moment Matching Deep Contrastive Latent Variable Models AISTATS 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning IJCAI 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NeurIPS 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022 Multi-Sample Training for Neural Image Compression NeurIPS 2022 Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022 MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction CVPR 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022