:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Choi, Chloe H., Marsden, Alison L., Schiavazzi, Daniele E.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2603.19331
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions
par: Choi, Chloe H., et autres
Publié: (2025)

Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
par: Zanoni, Andrea, et autres
Publié: (2024)

Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation
par: Lagunowich, Luke S., et autres
Publié: (2026)

Optimal patient allocation for echocardiographic assessments
par: Sun, Bozhi, et autres
Publié: (2025)

On the accuracy of implicit neural representations for cardiovascular anatomies and hemodynamic fields
par: Lee, Jubilee, et autres
Publié: (2025)

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology
par: De Florio, Mario, et autres
Publié: (2024)

InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models
par: Tong, Guoxiang Grayson, et autres
Publié: (2024)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
par: Salvador, Matteo, et autres
Publié: (2024)

Assessing the performance of correlation-based multi-fidelity neural emulators
par: Villatoro, Cristian J., et autres
Publié: (2025)

Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction
par: Geraci, Gianluca, et autres
Publié: (2025)

Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport
par: Generale, Adam P., et autres
Publié: (2024)

Amortized Conditional Independence Testing
par: Duong, Bao, et autres
Publié: (2025)

Amortizing intractable inference in large language models
par: Hu, Edward J., et autres
Publié: (2023)

Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
par: Chang, Paul E., et autres
Publié: (2024)

Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks
par: Dey, Sreejata, et autres
Publié: (2026)

Amortized Sampling with Transferable Normalizing Flows
par: Tan, Charlie B., et autres
Publié: (2025)

Improving Rectified Flow with Boundary Conditions
par: Hu, Xixi, et autres
Publié: (2025)

Latent Geometry Beyond Search: Amortizing Planning in World Models
par: Nguyen, Hoang, et autres
Publié: (2026)

Amortizing intractable inference in diffusion models for vision, language, and control
par: Venkatraman, Siddarth, et autres
Publié: (2024)

Amortized Bayesian inference for actigraph time sheet data from mobile devices
par: Zhou, Daniel, et autres
Publié: (2026)

Multivariate Latent Recalibration for Conditional Normalizing Flows
par: Dheur, Victor, et autres
Publié: (2025)

Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
par: Egbuna, Nathan, et autres
Publié: (2025)

Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
par: Mahajan, Divyat, et autres
Publié: (2024)

Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
par: Zanoni, Andrea, et autres
Publié: (2023)

Local Inverse Geometry Can Be Amortized
par: Kachhadiya, Aaditya L.
Publié: (2026)

HyperTransport: Amortized Conditioning of T2I Generative Models
par: Maiorca, Valentino, et autres
Publié: (2026)

TENG-BC: Unified Time-Evolving Natural Gradient for Neural PDE Solvers with General Boundary Conditions
par: Jiang, Hongjie, et autres
Publié: (2026)

Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference
par: Oshima, Yuta, et autres
Publié: (2024)

RubiConv -- Efficient Boundary-Respecting Convolutions
par: Friso, Linda, et autres
Publié: (2026)

Consistent Amortized Clustering via Generative Flow Networks
par: Chelly, Irit, et autres
Publié: (2025)

BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
par: Kühmichel, Lars, et autres
Publié: (2026)

UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
par: Li, Haosen, et autres
Publié: (2026)

Amortized Bayesian Workflow
par: Li, Chengkun, et autres
Publié: (2024)

Data-Driven Bifurcation Handling in Physics-Based Reduced-Order Vascular Hemodynamic Models
par: Rubio, Natalia L., et autres
Publié: (2025)

StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow
par: Jagwani, Gurjeet, et autres
Publié: (2026)

Path-minimizing Latent ODEs for improved extrapolation and inference
par: Sampson, Matt L., et autres
Publié: (2024)

Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)
par: Dey, Biprateep, et autres
Publié: (2022)

Amortized Bayesian Mixture Models
par: Kucharský, Šimon, et autres
Publié: (2025)

Amortized Bayesian Multilevel Models
par: Habermann, Daniel, et autres
Publié: (2024)

Neural Methods for Amortized Inference
par: Zammit-Mangion, Andrew, et autres
Publié: (2024)