Causally Consistent Normalizing Flow
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Qingyang, Lu, Kangjie, Xu, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
by: Montanari, Andrea, et al.
Published: (2022)
by: Montanari, Andrea, et al.
Published: (2022)
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
by: Hou, Kaiwen
Published: (2023)
by: Hou, Kaiwen
Published: (2023)
Robust Optimization in Causal Models and G-Causal Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
Sharp Analysis of Power Iteration for Tensor PCA
by: Wu, Yuchen, et al.
Published: (2024)
by: Wu, Yuchen, et al.
Published: (2024)
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
by: Wu, Yuchen, et al.
Published: (2022)
by: Wu, Yuchen, et al.
Published: (2022)
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
by: Hoang, Nu, et al.
Published: (2024)
by: Hoang, Nu, et al.
Published: (2024)
Inverse Flow and Consistency Models
by: Zhang, Yuchen, et al.
Published: (2025)
by: Zhang, Yuchen, et al.
Published: (2025)
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
by: Meng, Qinglong, et al.
Published: (2024)
by: Meng, Qinglong, et al.
Published: (2024)
When Does Model Collapse Occur in Structured Interactive Learning?
by: Wu, Yuchen, et al.
Published: (2026)
by: Wu, Yuchen, et al.
Published: (2026)
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
Preferential Normalizing Flows
by: Mikkola, Petrus, et al.
Published: (2024)
by: Mikkola, Petrus, et al.
Published: (2024)
Distilling Normalizing Flows
by: Walton, Steven, et al.
Published: (2025)
by: Walton, Steven, et al.
Published: (2025)
Piecewise Normalizing Flows
by: Bevins, Harry, et al.
Published: (2023)
by: Bevins, Harry, et al.
Published: (2023)
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
Tractability from overparametrization: The example of the negative perceptron
by: Montanari, Andrea, et al.
Published: (2021)
by: Montanari, Andrea, et al.
Published: (2021)
Flexible Tails for Normalizing Flows
by: Hickling, Tennessee, et al.
Published: (2024)
by: Hickling, Tennessee, et al.
Published: (2024)
Principled Interpolation in Normalizing Flows
by: Fadel, Samuel G., et al.
Published: (2020)
by: Fadel, Samuel G., et al.
Published: (2020)
Reward Models Identify Consistency, Not Causality
by: Xu, Yuhui, et al.
Published: (2025)
by: Xu, Yuhui, et al.
Published: (2025)
Bayesian Gaussian Process ODEs via Double Normalizing Flows
by: Xu, Jian, et al.
Published: (2023)
by: Xu, Jian, et al.
Published: (2023)
Normalizing Flows are Capable Models for RL
by: Ghugare, Raj, et al.
Published: (2025)
by: Ghugare, Raj, et al.
Published: (2025)
Robust Conditional Conformal Prediction via Branched Normalizing Flow
by: Xu, Rui, et al.
Published: (2026)
by: Xu, Rui, et al.
Published: (2026)
Normalizing Flows for Conformal Regression
by: Colombo, Nicolo
Published: (2024)
by: Colombo, Nicolo
Published: (2024)
A statistical theory of overfitting for imbalanced classification
by: Lyu, Jingyang, et al.
Published: (2025)
by: Lyu, Jingyang, et al.
Published: (2025)
Consistency of Neural Causal Partial Identification
by: Tan, Jiyuan, et al.
Published: (2024)
by: Tan, Jiyuan, et al.
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)
Free-form Flows: Make Any Architecture a Normalizing Flow
by: Draxler, Felix, et al.
Published: (2023)
by: Draxler, Felix, et al.
Published: (2023)
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)
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
by: Cabezas, Alberto, et al.
Published: (2024)
by: Cabezas, Alberto, et al.
Published: (2024)
Accelerating Inference of Discrete Autoregressive Normalizing Flows by Selective Jacobi Decoding
by: Zhang, Jiaru, et al.
Published: (2025)
by: Zhang, Jiaru, et al.
Published: (2025)
Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference
by: Melnychuk, Valentyn, et al.
Published: (2026)
by: Melnychuk, Valentyn, et al.
Published: (2026)
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
by: Rehman, Danyal, et al.
Published: (2025)
by: Rehman, Danyal, et al.
Published: (2025)
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)
Fast and Unified Path Gradient Estimators for Normalizing Flows
by: Vaitl, Lorenz, et al.
Published: (2024)
by: Vaitl, Lorenz, et al.
Published: (2024)
Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency
by: Lin, Victoria, et al.
Published: (2026)
by: Lin, Victoria, et al.
Published: (2026)
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)
Combining Normalizing Flows and Quasi-Monte Carlo
by: Andral, Charly
Published: (2024)
by: Andral, Charly
Published: (2024)
Order-based Structure Learning with Normalizing Flows
by: Kamkari, Hamidreza, et al.
Published: (2023)
by: Kamkari, Hamidreza, et al.
Published: (2023)
Similar Items
-
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
by: Montanari, Andrea, et al.
Published: (2022) -
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
by: Hou, Kaiwen
Published: (2023) -
Robust Optimization in Causal Models and G-Causal Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025) -
Sharp Analysis of Power Iteration for Tensor PCA
by: Wu, Yuchen, et al.
Published: (2024) -
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
by: Wu, Yuchen, et al.
Published: (2022)