Cover Image

Consistency Models for Scalable and Fast Simulation-Based Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schmitt, Marvin, Pratz, Valentin, Köthe, Ullrich, Bürkner, Paul-Christian, Radev, Stefan T
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
by: Schmitt, Marvin, et al.
Published: (2024)

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
by: Schmitt, Marvin, et al.
Published: (2023)

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)

Sensitivity-Aware Amortized Bayesian Inference
by: Elsemüller, Lasse, et al.
Published: (2023)

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
by: Mishra, Aayush, et al.
Published: (2025)

Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
by: Müller, Jens, et al.
Published: (2023)

Inverting Foundation Models of Brain Function with Simulation-Based Inference
by: Bracher, Niels, et al.
Published: (2026)

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
by: Bracher, Niels, et al.
Published: (2025)

Diffusion Models in Simulation-Based Inference: A Tutorial Review
by: Arruda, Jonas, et al.
Published: (2025)

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
by: Elsemüller, Lasse, et al.
Published: (2025)

Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023)

Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)

Amortized Bayesian Multilevel Models
by: Habermann, Daniel, et al.
Published: (2024)

Simulations in Statistical Workflows
by: Bürkner, Paul-Christian, et al.
Published: (2025)

Amortized Bayesian Workflow
by: Li, Chengkun, et al.
Published: (2024)

Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025)

Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025)

BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
by: Kühmichel, Lars, et al.
Published: (2026)

Expert-elicitation method for non-parametric joint priors using normalizing flows
by: Bockting, Florence, et al.
Published: (2024)

Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
by: Säilynoja, Teemu, et al.
Published: (2025)

Scalable Simulation-Based Model Inference with Test-Time Complexity Control
by: Gloeckler, Manuel, et al.
Published: (2026)

BayesFlow: Learning complex stochastic models with invertible neural networks
by: Radev, Stefan T., et al.
Published: (2020)

Fast Inference of Removal-Based Node Influence
by: Li, Weikai, et al.
Published: (2024)

DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
by: Aljaafari, Tala, et al.
Published: (2025)

Analyzing Generative Models by Manifold Entropic Metrics
by: Galperin, Daniel, et al.
Published: (2024)

Three-in-One World Model: Energy-Based Consistency, Prediction, and Counterfactual Inference for Marketing Intervention
by: Niimi, Junichiro
Published: (2026)

ConDiSim: Conditional Diffusion Models for Simulation Based Inference
by: Nautiyal, Mayank, et al.
Published: (2025)

Fast Inference for Augmented Large Language Models
by: Shahout, Rana, et al.
Published: (2024)

Fast and Scalable Analytical Diffusion
by: Shang, Xinyi, et al.
Published: (2026)

Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)

FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference
by: Bajpai, Divya Jyoti, et al.
Published: (2025)

Tokenised Flow Matching for Hierarchical Simulation Based Inference
by: Charles, Giovanni, et al.
Published: (2026)

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
by: Pham, Hung Cuong, et al.
Published: (2026)

Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)

HAWX: A Hardware-Aware FrameWork for Fast and Scalable ApproXimation of DNNs
by: Nazari, Samira, et al.
Published: (2026)

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
by: Yan, Hua, et al.
Published: (2026)

Assessing Per-Sample Membership Inference Vulnerability without Retraining
by: Dorseuil, Valentin, et al.
Published: (2026)

On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
by: Draxler, Felix, et al.
Published: (2024)

From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows
by: Galperin, Daniel, et al.
Published: (2026)

UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
by: Neth, Ashe, et al.
Published: (2025)