Marginal Flow: a flexible and efficient framework for density estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Negri, Marcello Massimo, Aellen, Jonathan, Jahn, Manuel, Khorashadizadeh, AmirEhsan, Roth, Volker |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Injective flows for star-like manifolds
by: Negri, Marcello Massimo, et al.
Published: (2024)
by: Negri, Marcello Massimo, et al.
Published: (2024)
Glimpse: Generalized Locality for Scalable and Robust CT
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
NIMO: a Nonlinear Interpretable MOdel
by: Xu, Shijian, et al.
Published: (2025)
by: Xu, Shijian, et al.
Published: (2025)
LoFi: Neural Local Fields for Scalable Image Reconstruction
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
Localized Supervised Learning for Cryo-ET Reconstruction
by: Kishore, Vinith, et al.
Published: (2025)
by: Kishore, Vinith, et al.
Published: (2025)
MCD: Marginal Contrastive Discrimination for conditional density estimation
by: Meziani, Katia, et al.
Published: (2022)
by: Meziani, Katia, et al.
Published: (2022)
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
by: Paulson, Joel A., et al.
Published: (2024)
by: Paulson, Joel A., et al.
Published: (2024)
CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning
by: Kishore, Vinith, et al.
Published: (2025)
by: Kishore, Vinith, et al.
Published: (2025)
A density ratio framework for evaluating the utility of synthetic data
by: Volker, Thom Benjamin, et al.
Published: (2024)
by: Volker, Thom Benjamin, et al.
Published: (2024)
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Joint auto-encoders: a flexible multi-task learning framework
by: Epstein, Baruch, et al.
Published: (2017)
by: Epstein, Baruch, et al.
Published: (2017)
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
by: Ziai, Amir, et al.
Published: (2024)
by: Ziai, Amir, et al.
Published: (2024)
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
by: Kviman, Oskar, et al.
Published: (2025)
by: Kviman, Oskar, et al.
Published: (2025)
Marginal Causal Flows for Validation and Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Sampling from Flow Language Models via Marginal-Conditioned Bridges
by: Azangulov, Iskander, et al.
Published: (2026)
by: Azangulov, Iskander, et al.
Published: (2026)
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
by: Tedoldi, Riccardo, et al.
Published: (2025)
by: Tedoldi, Riccardo, et al.
Published: (2025)
A hybrid framework for effective and efficient machine unlearning
by: Li, Mingxin, et al.
Published: (2024)
by: Li, Mingxin, et al.
Published: (2024)
Sorrel: A simple and flexible framework for multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2025)
by: Gelpí, Rebekah A., et al.
Published: (2025)
An efficient deep reinforcement learning environment for flexible job-shop scheduling
by: Wu, Xinquan, et al.
Published: (2025)
by: Wu, Xinquan, et al.
Published: (2025)
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations
by: Nagy-Huber, Monika, et al.
Published: (2023)
by: Nagy-Huber, Monika, et al.
Published: (2023)
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)
by: Abouei, Amir Mohammad, et al.
Published: (2023)
Learning stochasticity: a nonparametric framework for intrinsic noise estimation
by: Pillonetto, Gianluigi, et al.
Published: (2025)
by: Pillonetto, Gianluigi, et al.
Published: (2025)
Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
by: Roohi, Ehsan, et al.
Published: (2025)
by: Roohi, Ehsan, et al.
Published: (2025)
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites
by: Kouroudis, Ioannis, et al.
Published: (2024)
by: Kouroudis, Ioannis, et al.
Published: (2024)
Least Squares and Marginal Log-Likelihood Model Predictive Control using Normalizing Flows
by: Cramer, Eike
Published: (2024)
by: Cramer, Eike
Published: (2024)
An active learning framework for multi-group mean estimation
by: Aznag, Abdellah, et al.
Published: (2025)
by: Aznag, Abdellah, et al.
Published: (2025)
A framework for measuring the training efficiency of a neural architecture
by: Cueto-Mendoza, Eduardo, et al.
Published: (2024)
by: Cueto-Mendoza, Eduardo, et al.
Published: (2024)
Remote sensing framework for geological mapping via stacked autoencoders and clustering
by: Nagar, Sandeep, et al.
Published: (2024)
by: Nagar, Sandeep, et al.
Published: (2024)
Causal Effect Identification in a Sub-Population with Latent Variables
by: Abouei, Amir Mohammad, et al.
Published: (2024)
by: Abouei, Amir Mohammad, et al.
Published: (2024)
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
by: Lowery, Matthew, et al.
Published: (2024)
by: Lowery, Matthew, et al.
Published: (2024)
Demonstrating the power and flexibility of variational assumptions for amortized neural posterior estimation in environmental applications
by: Maceda, Elliot, et al.
Published: (2024)
by: Maceda, Elliot, et al.
Published: (2024)
Why long model-based rollouts are no reason for bad Q-value estimates
by: Wissmann, Philipp, et al.
Published: (2024)
by: Wissmann, Philipp, et al.
Published: (2024)
Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics
by: Ojeda, César, et al.
Published: (2026)
by: Ojeda, César, et al.
Published: (2026)
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
by: Zhong, Yunhua, et al.
Published: (2026)
by: Zhong, Yunhua, et al.
Published: (2026)
Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow
by: Cena, Carlo, et al.
Published: (2025)
by: Cena, Carlo, et al.
Published: (2025)
Ergodic Trajectory Design by Learned Pushforward Maps: Provable Coverage via Conditional Flow Matching
by: Aghazadeh, Ehsan, et al.
Published: (2026)
by: Aghazadeh, Ehsan, et al.
Published: (2026)
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)
by: Arpogaus, Marcel, et al.
Published: (2025)
Binned semiparametric Bayesian networks for efficient kernel density estimation
by: Sojo, Rafael, et al.
Published: (2025)
by: Sojo, Rafael, et al.
Published: (2025)
Model predictive control-based value estimation for efficient reinforcement learning
by: Wu, Qizhen, et al.
Published: (2023)
by: Wu, Qizhen, et al.
Published: (2023)
Universal approximation with complex-valued deep narrow neural networks
by: Geuchen, Paul, et al.
Published: (2023)
by: Geuchen, Paul, et al.
Published: (2023)
Similar Items
-
Injective flows for star-like manifolds
by: Negri, Marcello Massimo, et al.
Published: (2024) -
Glimpse: Generalized Locality for Scalable and Robust CT
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024) -
NIMO: a Nonlinear Interpretable MOdel
by: Xu, Shijian, et al.
Published: (2025) -
LoFi: Neural Local Fields for Scalable Image Reconstruction
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024) -
Localized Supervised Learning for Cryo-ET Reconstruction
by: Kishore, Vinith, et al.
Published: (2025)