Free-form Flows: Make Any Architecture a Normalizing Flow
Fuente:
arXiv
Saved in:
| Main Authors: | Draxler, Felix, Sorrenson, Peter, Zimmermann, Lea, Rousselot, Armand, Köthe, Ullrich |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lifting Architectural Constraints of Injective Flows
by: Sorrenson, Peter, et al.
Published: (2023)
by: Sorrenson, Peter, et al.
Published: (2023)
Learning Distributions on Manifolds with Free-Form Flows
by: Sorrenson, Peter, et al.
Published: (2023)
by: Sorrenson, Peter, et al.
Published: (2023)
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
by: Wahl, Stefan, et al.
Published: (2024)
by: Wahl, Stefan, et al.
Published: (2024)
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
by: Draxler, Felix, et al.
Published: (2024)
by: Draxler, Felix, et al.
Published: (2024)
Learning Distances from Data with Normalizing Flows and Score Matching
by: Sorrenson, Peter, et al.
Published: (2024)
by: Sorrenson, Peter, et al.
Published: (2024)
Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows
by: Sorrenson, Peter, et al.
Published: (2025)
by: Sorrenson, Peter, et al.
Published: (2025)
Show Me What You Don't Know: Efficient Sampling from Invariant Sets for Model Validation
by: Rousselot, Armand, et al.
Published: (2026)
by: Rousselot, Armand, et al.
Published: (2026)
From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows
by: Galperin, Daniel, et al.
Published: (2026)
by: Galperin, Daniel, et al.
Published: (2026)
Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
by: Hummerich, Sander, et al.
Published: (2025)
by: Hummerich, Sander, et al.
Published: (2025)
Analyzing Generative Models by Manifold Entropic Metrics
by: Galperin, Daniel, et al.
Published: (2024)
by: Galperin, Daniel, et al.
Published: (2024)
BayesFlow: Learning complex stochastic models with invertible neural networks
by: Radev, Stefan T., et al.
Published: (2020)
by: Radev, Stefan T., et al.
Published: (2020)
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)
by: Saegert, Paul, et al.
Published: (2026)
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
by: Rabenstein, Georg, et al.
Published: (2024)
by: Rabenstein, Georg, et al.
Published: (2024)
FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows
by: Cha, Yeonwoo, et al.
Published: (2025)
by: Cha, Yeonwoo, et al.
Published: (2025)
Generative Invertible Quantum Neural Networks
by: Rousselot, Armand, et al.
Published: (2023)
by: Rousselot, Armand, et al.
Published: (2023)
OOD Detection with immature Models
by: Montazeran, Behrooz, et al.
Published: (2025)
by: Montazeran, Behrooz, et al.
Published: (2025)
Piecewise Normalizing Flows
by: Bevins, Harry, et al.
Published: (2023)
by: Bevins, Harry, et al.
Published: (2023)
Distilling Normalizing Flows
by: Walton, Steven, et al.
Published: (2025)
by: Walton, Steven, et al.
Published: (2025)
Preferential Normalizing Flows
by: Mikkola, Petrus, et al.
Published: (2024)
by: Mikkola, Petrus, et al.
Published: (2024)
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
by: Schmitt, Marvin, et al.
Published: (2024)
by: Schmitt, Marvin, et al.
Published: (2024)
Diffusion Models in Simulation-Based Inference: A Tutorial Review
by: Arruda, Jonas, et al.
Published: (2025)
by: Arruda, Jonas, et al.
Published: (2025)
Principled Interpolation in Normalizing Flows
by: Fadel, Samuel G., et al.
Published: (2020)
by: Fadel, Samuel G., et al.
Published: (2020)
Flexible Tails for Normalizing Flows
by: Hickling, Tennessee, et al.
Published: (2024)
by: Hickling, Tennessee, et al.
Published: (2024)
Causally Consistent Normalizing Flow
by: Zhou, Qingyang, et al.
Published: (2024)
by: Zhou, Qingyang, et al.
Published: (2024)
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
by: Müller, Jens, et al.
Published: (2023)
by: Müller, Jens, et al.
Published: (2023)
Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
by: Seong, Kiyoung, et al.
Published: (2026)
by: Seong, Kiyoung, et al.
Published: (2026)
Normalizing Flows for Conformal Regression
by: Colombo, Nicolo
Published: (2024)
by: Colombo, Nicolo
Published: (2024)
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
by: Cabezas, Alberto, et al.
Published: (2024)
by: Cabezas, Alberto, et al.
Published: (2024)
Normalizing Flows are Capable Models for RL
by: Ghugare, Raj, et al.
Published: (2025)
by: Ghugare, Raj, et al.
Published: (2025)
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
by: Qin, Juehang, et al.
Published: (2025)
by: Qin, Juehang, et al.
Published: (2025)
FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
by: Dong, Yuexiao, et al.
Published: (2026)
by: Dong, Yuexiao, et al.
Published: (2026)
PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
by: Yang, Shunpeng, et al.
Published: (2026)
by: Yang, Shunpeng, et al.
Published: (2026)
Consistency Models for Scalable and Fast Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
Gradual Domain Adaptation via Normalizing Flows
by: Sagawa, Shogo, et al.
Published: (2022)
by: Sagawa, Shogo, et al.
Published: (2022)
Multivariate Latent Recalibration for Conditional Normalizing Flows
by: Dheur, Victor, et al.
Published: (2025)
by: Dheur, Victor, et al.
Published: (2025)
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
by: Kosieradzki, Mitch, et al.
Published: (2025)
by: Kosieradzki, Mitch, et al.
Published: (2025)
Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy
by: Zhang, Binhui, et al.
Published: (2025)
by: Zhang, Binhui, et al.
Published: (2025)
Lévy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management
by: Drissi, Rachid
Published: (2026)
by: Drissi, Rachid
Published: (2026)
Similar Items
-
Lifting Architectural Constraints of Injective Flows
by: Sorrenson, Peter, et al.
Published: (2023) -
Learning Distributions on Manifolds with Free-Form Flows
by: Sorrenson, Peter, et al.
Published: (2023) -
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
by: Wahl, Stefan, et al.
Published: (2024) -
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
by: Draxler, Felix, et al.
Published: (2024) -
Learning Distances from Data with Normalizing Flows and Score Matching
by: Sorrenson, Peter, et al.
Published: (2024)