deep generative model

Hamiltonian Latent Operators for content and motion disentanglement in image sequences NeurIPS 2022 Identifiability of deep generative models without auxiliary information NeurIPS 2022 Multi-objective Deep Data Generation with Correlated Property Control NeurIPS 2022 Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NeurIPS 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NeurIPS 2022 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NeurIPS 2022 On Transportation of Mini-batches: A Hierarchical Approach ICML 2022 Palm up: Playing in the Latent Manifold for Unsupervised Pretraining NeurIPS 2022 PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning ICLR 2022 PlaceNet: Neural Spatial Representation Learning with Multimodal Attention IJCAI 2022 Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution NeurIPS 2022 The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders ICLR 2022 Training Discrete Deep Generative Models via Gapped Straight-Through Estimator ICML 2022 Unsupervised Deep Keyphrase Generation AAAI 2022 Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints AAAI 2022 Validating Causal Inference Methods ICML 2022 Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification EACL 2021 CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction ICCV 2021 Deep Conditional Gaussian Mixture Model for Constrained Clustering NeurIPS 2021 Deep Probabilistic Canonical Correlation Analysis AAAI 2021 Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021 Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021 Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NeurIPS 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021