Autoencoders

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields CoRL 2022 Learning Physics Constrained Dynamics Using Autoencoders NeurIPS 2022 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022 Learning the Beauty in Songs: Neural Singing Voice Beautifier ACL 2022 Learning to Accelerate Partial Differential Equations via Latent Global Evolution NeurIPS 2022 Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders AAAI 2022 LION: Latent Point Diffusion Models for 3D Shape Generation NeurIPS 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes WACV 2022 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022 Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder EMNLP 2022 MotionAug: Augmentation With Physical Correction for Human Motion Prediction CVPR 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning IJCAI 2022 Multimeasurement Generative Models ICLR 2022 Multi-Sample Training for Neural Image Compression NeurIPS 2022 Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders ACML 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 Neural Basis Models for Interpretability NeurIPS 2022 Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning AAAI 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NeurIPS 2022