Cover Image

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schmitt, Marvin, Odole, Leona, Radev, Stefan T., Bürkner, Paul-Christian
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

Consistency Models for Scalable and Fast Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)

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)

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

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

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

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

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

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

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

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

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)

Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
by: Hennig, Leona, et al.
Published: (2024)

Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, 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)

Knowledge Distillation Must Account for What It Loses
by: Wang, Wenshuo
Published: (2026)

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

Automatic Fused Multimodal Deep Learning for Plant Identification
by: Lapkovskis, Alfreds, 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)

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

A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024)

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

Do Neural Networks Lose Plasticity in a Gradually Changing World?
by: Liu, Tianhui, et al.
Published: (2026)

Sparsely Multimodal Data Fusion
by: Bjorgaard, Josiah
Published: (2024)

How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
by: Dietz, Simon, et al.
Published: (2024)

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

Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World
by: Zheng, Yu
Published: (2025)

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

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

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
by: Zaman, Kerem, et al.
Published: (2023)

Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
by: Lee, Seunghan, et al.
Published: (2026)

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
by: Hemker, Konstantin, et al.
Published: (2023)

Robust Simulation-Based Inference under Missing Data via Neural Processes
by: Verma, Yogesh, et al.
Published: (2025)

Generative Score Inference for Multimodal Data
by: Tian, Xinyu, et al.
Published: (2026)

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)

COLD: Causal reasOning in cLosed Daily activities
by: Joshi, Abhinav, et al.
Published: (2024)

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer
by: Lu, Jiaying, et al.
Published: (2025)

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
by: Alabdulmohsin, Ibrahim, et al.
Published: (2025)