conftrace_

normalizing flow

354 papers

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Also known as

NF

Co-occurring keywords

generative model (2892) variational inference (2069) density estimation (398) variational autoencoder (1288) probability distribution (265) flow-based model (74) probabilistic modeling (852) manifold learning (403) unsupervised learning (3264) autoregressive model (456)

Papers

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025
Free-form Flows: Make Any Architecture a Normalizing Flow AISTATS 2024
Transferable Boltzmann Generators NIPS 2024
Mutual Information Estimation via Normalizing Flows NIPS 2024
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization CVPR 2024
Reparameterized Variational Rejection Sampling AISTATS 2024
Learning Distributions on Manifolds with Free-Form Flows NIPS 2024
PARAN: Variational Autoencoder-based End-to-End Articulation-to-Speech System for Speech Intelligibility INTERSPEECH 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation CVPR 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics NIPS 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024
Perception-Oriented Video Frame Interpolation via Asymmetric Blending CVPR 2024
Marginal Causal Flows for Validation and Inference NIPS 2024
LInKs "Lifting Independent Keypoints" - Partial Pose Lifting for Occlusion Handling With Improved Accuracy in 2D-3D Human Pose Estimation WACV 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024
Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024
Preferential Normalizing Flows NIPS 2024
Mixed variational flows for discrete variables AISTATS 2024
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer COLING 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Taming Normalizing Flows WACV 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024