Poster "normalizing flows" Papers
15 papers found
Conference
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan, Majdi Hassan, Leon Klein et al.
NEURIPS 2025arXiv:2508.18175
9
citations
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
NEURIPS 2025arXiv:2510.25323
Flow-based Variational Mutual Information: Fast and Flexible Approximations
Caleb Dahlke, Jason Pacheco
ICLR 2025
4
citations
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.
NEURIPS 2025arXiv:2508.15593
1
citations
Injective flows for star-like manifolds
Marcello Negri, Jonathan Aellen, Volker Roth
ICLR 2025arXiv:2406.09116
1
citations
Normalizing Flows are Capable Models for Continuous Control
Raj Ghugare, Benjamin Eysenbach
NEURIPS 2025
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Wenyuan Zhao, Adithya Balachandran, Chao Tian et al.
NEURIPS 2025arXiv:2510.04417
Path Gradients after Flow Matching
Lorenz Vaitl, Leon Klein
NEURIPS 2025arXiv:2505.10139
2
citations
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
Chun Gu, Xiaofei Wei, Li Zhang et al.
CVPR 2025arXiv:2503.18328
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari, Brendan Ross, Jesse Cresswell et al.
ICML 2024arXiv:2403.18910
16
citations
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
ICML 2024arXiv:2402.01195
7
citations
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
Olaf Dünkel, Tim Salzmann, Florian Pfaff
CVPR 2024arXiv:2404.05675
6
citations
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
Felix Draxler, Stefan Wahl, Christoph Schnörr et al.
ICML 2024arXiv:2402.06578
17
citations
Robust Inverse Graphics via Probabilistic Inference
Tuan Anh Le, Pavel Sountsov, Matthew Hoffman et al.
ICML 2024arXiv:2402.01915
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
ECCV 2024arXiv:2408.05599
4
citations