← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion AAAI 2024
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting INTERSPEECH 2024
Deep Hierarchical Video Compression AAAI 2024
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features INTERSPEECH 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations INTERSPEECH 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024
Neural ATSM: Fully Neural Network-based Adaptive Time-Scale Modification Using Sentence-Specific Dynamic Control INTERSPEECH 2024
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images CVPR 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer COLING 2024
Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024
Frogs into princes: A generative model to understand the success of product descriptions COLING 2024
Gaussian Interpolation Flows JMLR 2024
Manifold Learning by Mixture Models of VAEs for Inverse Problems JMLR 2024
Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024