How to build a consistency model: Learning flow maps via self-distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Boffi, Nicholas M., Albergo, Michael S., Vanden-Eijnden, Eric |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
by: Ma, Nanye, et al.
Published: (2024)
by: Ma, Nanye, et al.
Published: (2024)
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
by: Boffi, Nicholas M., et al.
Published: (2024)
by: Boffi, Nicholas M., et al.
Published: (2024)
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
by: Albergo, Michael S., et al.
Published: (2023)
by: Albergo, Michael S., et al.
Published: (2023)
Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
by: Boffi, Nicholas M., et al.
Published: (2024)
by: Boffi, Nicholas M., et al.
Published: (2024)
Deep learning probability flows and entropy production rates in active matter
by: Boffi, Nicholas M., et al.
Published: (2023)
by: Boffi, Nicholas M., et al.
Published: (2023)
Test-time scaling of diffusions with flow maps
by: Sabour, Amirmojtaba, et al.
Published: (2025)
by: Sabour, Amirmojtaba, et al.
Published: (2025)
Stochastic interpolants with data-dependent couplings
by: Albergo, Michael S., et al.
Published: (2023)
by: Albergo, Michael S., et al.
Published: (2023)
Efficient training for compact compression models via sequential distillation
by: Rodrigues, Caroline Mazini, et al.
Published: (2026)
by: Rodrigues, Caroline Mazini, et al.
Published: (2026)
NETS: A Non-Equilibrium Transport Sampler
by: Albergo, Michael S., et al.
Published: (2024)
by: Albergo, Michael S., et al.
Published: (2024)
Learning few-step posterior samplers by unfolding and distillation of diffusion models
by: Mbakam, Charlesquin Kemajou, et al.
Published: (2025)
by: Mbakam, Charlesquin Kemajou, et al.
Published: (2025)
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
by: Chen, Yifan, et al.
Published: (2024)
by: Chen, Yifan, et al.
Published: (2024)
Two out of Three (ToT): using self-consistency to make robust predictions
by: Lee, Jung Hoon, et al.
Published: (2025)
by: Lee, Jung Hoon, et al.
Published: (2025)
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
by: Ai, Xinyue, et al.
Published: (2025)
by: Ai, Xinyue, et al.
Published: (2025)
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
by: Termritthikun, Chakkrit, et al.
Published: (2024)
by: Termritthikun, Chakkrit, et al.
Published: (2024)
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
by: Gu, Hanxue, et al.
Published: (2024)
by: Gu, Hanxue, et al.
Published: (2024)
Multitask Learning with Stochastic Interpolants
by: Negrel, Hugo, et al.
Published: (2025)
by: Negrel, Hugo, et al.
Published: (2025)
Machine learning-enabled velocity model building with uncertainty quantification
by: Orozco, Rafael, et al.
Published: (2024)
by: Orozco, Rafael, et al.
Published: (2024)
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping
by: Johnson, Lucas K., et al.
Published: (2024)
by: Johnson, Lucas K., et al.
Published: (2024)
On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications
by: Baur, Simon, et al.
Published: (2025)
by: Baur, Simon, et al.
Published: (2025)
SPARE: Self-distillation for PARameter-Efficient Removal
by: Mola, Natnael, et al.
Published: (2026)
by: Mola, Natnael, et al.
Published: (2026)
Generating floorplans for various building functionalities via latent diffusion model
by: Ibrahim, Mohamed R., et al.
Published: (2024)
by: Ibrahim, Mohamed R., et al.
Published: (2024)
Metis-SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
by: Chen, Kun, et al.
Published: (2025)
by: Chen, Kun, et al.
Published: (2025)
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)
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
by: Turbé, Hugues, et al.
Published: (2024)
by: Turbé, Hugues, et al.
Published: (2024)
Estimate the building height at a 10-meter resolution based on Sentinel data
by: Yan, Xin
Published: (2024)
by: Yan, Xin
Published: (2024)
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
by: Zhang, Wenbo, et al.
Published: (2024)
by: Zhang, Wenbo, et al.
Published: (2024)
How can embedding models bind concepts?
by: Uselis, Arnas, et al.
Published: (2026)
by: Uselis, Arnas, et al.
Published: (2026)
Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
by: Yu, Zhenyu, et al.
Published: (2024)
by: Yu, Zhenyu, et al.
Published: (2024)
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
by: Alisjahbana, Irene, et al.
Published: (2024)
by: Alisjahbana, Irene, et al.
Published: (2024)
Soft-CAM: Making black box models self-explainable for medical image analysis
by: Djoumessi, Kerol, et al.
Published: (2025)
by: Djoumessi, Kerol, et al.
Published: (2025)
Learning-based density-equalizing map
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classification
by: Benchallal, Farouq, et al.
Published: (2025)
by: Benchallal, Farouq, et al.
Published: (2025)
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering
by: Yang, Charig, et al.
Published: (2024)
by: Yang, Charig, et al.
Published: (2024)
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
by: Kong, Fei, et al.
Published: (2023)
by: Kong, Fei, et al.
Published: (2023)
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
by: Huang, Zhe, et al.
Published: (2023)
by: Huang, Zhe, et al.
Published: (2023)
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model
by: Cagnetta, Francesco, et al.
Published: (2023)
by: Cagnetta, Francesco, et al.
Published: (2023)
Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
by: Pascual, Ruben, et al.
Published: (2025)
by: Pascual, Ruben, et al.
Published: (2025)
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
by: Saeed, Shaheer U., et al.
Published: (2024)
by: Saeed, Shaheer U., et al.
Published: (2024)
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
by: Brown, Christopher F., et al.
Published: (2025)
by: Brown, Christopher F., et al.
Published: (2025)
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
by: Dionelis, Nikolaos, et al.
Published: (2025)
by: Dionelis, Nikolaos, et al.
Published: (2025)
Similar Items
-
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
by: Ma, Nanye, et al.
Published: (2024) -
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
by: Boffi, Nicholas M., et al.
Published: (2024) -
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
by: Albergo, Michael S., et al.
Published: (2023) -
Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
by: Boffi, Nicholas M., et al.
Published: (2024) -
Deep learning probability flows and entropy production rates in active matter
by: Boffi, Nicholas M., et al.
Published: (2023)