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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

Topological Obstructions and How to Avoid Them NIPS 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging ICCV 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling IJCAI 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs ICML 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models NIPS 2023
Continuously Parameterized Mixture Models ICML 2023
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow IJCAI 2023
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation IJCAI 2023
Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023
Knowledge Graph Embedding by Normalizing Flows AAAI 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023
Training Normalizing Flows from Dependent Data ICML 2023
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection NIPS 2023
On Sampling with Approximate Transport Maps ICML 2023
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset IJCAI 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space ACL 2023
Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023
A Coupled Flow Approach to Imitation Learning ICML 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023
Transport Elliptical Slice Sampling AISTATS 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023