Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Grenioux, Louis, Moulines, Éric, Gabrié, Marylou |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Sampling with Approximate Transport Maps
by: Grenioux, Louis, et al.
Published: (2023)
by: Grenioux, Louis, et al.
Published: (2023)
Improving the evaluation of samplers on multi-modal targets
by: Grenioux, Louis, et al.
Published: (2025)
by: Grenioux, Louis, et al.
Published: (2025)
Stochastic Localization via Iterative Posterior Sampling
by: Grenioux, Louis, et al.
Published: (2024)
by: Grenioux, Louis, et al.
Published: (2024)
Learned Reference-based Diffusion Sampling for multi-modal distributions
by: Noble, Maxence, et al.
Published: (2024)
by: Noble, Maxence, et al.
Published: (2024)
Riemannian Stochastic Interpolants for Amorphous Particle Systems
by: Grenioux, Louis, et al.
Published: (2025)
by: Grenioux, Louis, et al.
Published: (2025)
Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures
by: Fogliani, Luigi, et al.
Published: (2026)
by: Fogliani, Luigi, et al.
Published: (2026)
A theoretical perspective on mode collapse in variational inference
by: Soletskyi, Roman, et al.
Published: (2024)
by: Soletskyi, Roman, et al.
Published: (2024)
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
by: Grenioux, Louis, et al.
Published: (2026)
by: Grenioux, Louis, et al.
Published: (2026)
A Diffusive Classification Loss for Learning Energy-based Generative Models
by: OuYang, RuiKang, et al.
Published: (2026)
by: OuYang, RuiKang, et al.
Published: (2026)
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
by: Molina-Taborda, Ana, et al.
Published: (2024)
by: Molina-Taborda, Ana, et al.
Published: (2024)
Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
by: Mangold, Paul, et al.
Published: (2025)
by: Mangold, Paul, et al.
Published: (2025)
The critical slowing down in diffusion models
by: Del Bono, Luca Maria, et al.
Published: (2026)
by: Del Bono, Luca Maria, et al.
Published: (2026)
Coarse Grained Molecular Dynamics with Normalizing Flows
by: Tamagnone, Samuel, et al.
Published: (2024)
by: Tamagnone, Samuel, et al.
Published: (2024)
Briding Diffusion Posterior Sampling and Monte Carlo methods: a survey
by: Janati, Yazid, et al.
Published: (2025)
by: Janati, Yazid, et al.
Published: (2025)
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors
by: Janati, Yazid, et al.
Published: (2024)
by: Janati, Yazid, et al.
Published: (2024)
Adaptive Set-Mass Calibration with Conformal Prediction
by: Kazantsev, Daniil, et al.
Published: (2025)
by: Kazantsev, Daniil, et al.
Published: (2025)
ReALLM: A general framework for LLM compression and fine-tuning
by: Leconte, Louis, et al.
Published: (2024)
by: Leconte, Louis, et al.
Published: (2024)
Fast and Robust Likelihood-Guided Diffusion Posterior Sampling with Amortized Variational Inference
by: Zheng, Léon, et al.
Published: (2026)
by: Zheng, Léon, et al.
Published: (2026)
Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models
by: Zhang, Hongyin, et al.
Published: (2025)
by: Zhang, Hongyin, et al.
Published: (2025)
Regret and Sample Complexity of Online Q-Learning via Concentration of Stochastic Approximation with Time-Inhomogeneous Markov Chains
by: Singh, Rahul, et al.
Published: (2026)
by: Singh, Rahul, et al.
Published: (2026)
Queuing dynamics of asynchronous Federated Learning
by: Leconte, Louis, et al.
Published: (2024)
by: Leconte, Louis, et al.
Published: (2024)
Y-Shaped Generative Flows
by: Asadulaev, Arip, et al.
Published: (2025)
by: Asadulaev, Arip, et al.
Published: (2025)
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
by: Ocello, Antonio, et al.
Published: (2025)
by: Ocello, Antonio, et al.
Published: (2025)
Variational Diffusion Posterior Sampling with Midpoint Guidance
by: Moufad, Badr, et al.
Published: (2024)
by: Moufad, Badr, et al.
Published: (2024)
Model-free Posterior Sampling via Learning Rate Randomization
by: Tiapkin, Daniil, et al.
Published: (2023)
by: Tiapkin, Daniil, et al.
Published: (2023)
Sampling metastable systems using collective variables and Jarzynski-Crooks paths
by: Schönle, Christoph, et al.
Published: (2024)
by: Schönle, Christoph, et al.
Published: (2024)
A Mixture-Based Framework for Guiding Diffusion Models
by: Janati, Yazid, et al.
Published: (2025)
by: Janati, Yazid, et al.
Published: (2025)
Refined Analysis of Entropy-Regularized Actor-Critic
by: Labbi, Safwan, et al.
Published: (2026)
by: Labbi, Safwan, et al.
Published: (2026)
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
by: Huix, Tom, et al.
Published: (2024)
by: Huix, Tom, et al.
Published: (2024)
On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous Environments
by: Labbi, Safwan, et al.
Published: (2025)
by: Labbi, Safwan, et al.
Published: (2025)
Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization
by: Labbi, Safwan, et al.
Published: (2026)
by: Labbi, Safwan, et al.
Published: (2026)
Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency
by: Alahyane, Abdelkrim, et al.
Published: (2025)
by: Alahyane, Abdelkrim, et al.
Published: (2025)
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
by: Theisen, Maximilian F., et al.
Published: (2025)
by: Theisen, Maximilian F., et al.
Published: (2025)
Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation
by: Gourevitch, Samson, et al.
Published: (2026)
by: Gourevitch, Samson, et al.
Published: (2026)
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
by: Mangold, Paul, et al.
Published: (2025)
by: Mangold, Paul, et al.
Published: (2025)
Inexact subgradient methods for semialgebraic functions
by: Bolte, Jérôme, et al.
Published: (2024)
by: Bolte, Jérôme, et al.
Published: (2024)
TFTF: Training-Free Targeted Flow for Conditional Sampling
by: Qu, Qianqian, et al.
Published: (2026)
by: Qu, Qianqian, et al.
Published: (2026)
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
by: Moufad, Badr, et al.
Published: (2025)
by: Moufad, Badr, et al.
Published: (2025)
Categorical Reparameterization with Denoising Diffusion models
by: Gourevitch, Samson, et al.
Published: (2026)
by: Gourevitch, Samson, et al.
Published: (2026)
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
by: Malek, Idriss, et al.
Published: (2025)
by: Malek, Idriss, et al.
Published: (2025)
Similar Items
-
On Sampling with Approximate Transport Maps
by: Grenioux, Louis, et al.
Published: (2023) -
Improving the evaluation of samplers on multi-modal targets
by: Grenioux, Louis, et al.
Published: (2025) -
Stochastic Localization via Iterative Posterior Sampling
by: Grenioux, Louis, et al.
Published: (2024) -
Learned Reference-based Diffusion Sampling for multi-modal distributions
by: Noble, Maxence, et al.
Published: (2024) -
Riemannian Stochastic Interpolants for Amorphous Particle Systems
by: Grenioux, Louis, et al.
Published: (2025)