ConDiSim: Conditional Diffusion Models for Simulation Based Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Nautiyal, Mayank, Hellander, Andreas, Singh, Prashant |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)
by: Nautiyal, Mayank, et al.
Published: (2024)
OneFlowSBI: One Model, Many Queries for Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2026)
by: Nautiyal, Mayank, et al.
Published: (2026)
GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding
by: Nautiyal, Mayank, et al.
Published: (2026)
by: Nautiyal, Mayank, et al.
Published: (2026)
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
by: Ju, Li, et al.
Published: (2026)
by: Ju, Li, et al.
Published: (2026)
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models
by: Nautiyal, Mayank, et al.
Published: (2025)
by: Nautiyal, Mayank, et al.
Published: (2025)
Toward efficient resource utilization at edge nodes in federated learning
by: Alawadi, Sadi, et al.
Published: (2023)
by: Alawadi, Sadi, et al.
Published: (2023)
TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures
by: Zhang, Yingxiao, et al.
Published: (2026)
by: Zhang, Yingxiao, et al.
Published: (2026)
Thermodynamic Diffusion Inference with Minimal Digital Conditioning
by: De, Aditi
Published: (2026)
by: De, Aditi
Published: (2026)
DiSK: A Diffusion Model for Structured Knowledge
by: Kitouni, Ouail, et al.
Published: (2023)
by: Kitouni, Ouail, et al.
Published: (2023)
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
by: Gaur, Mudit, et al.
Published: (2025)
by: Gaur, Mudit, et al.
Published: (2025)
DiFR: Inference Verification Despite Nondeterminism
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Consistency Models for Scalable and Fast Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models
by: Beniwal, Himanshu, et al.
Published: (2026)
by: Beniwal, Himanshu, et al.
Published: (2026)
DiEC: Diffusion Embedded Clustering
by: Hu, Haidong, et al.
Published: (2025)
by: Hu, Haidong, et al.
Published: (2025)
Inverting Foundation Models of Brain Function with Simulation-Based Inference
by: Bracher, Niels, et al.
Published: (2026)
by: Bracher, Niels, et al.
Published: (2026)
Practical Feasibility of Gradient Inversion Attacks in Federated Learning
by: Valadi, Viktor, et al.
Published: (2025)
by: Valadi, Viktor, et al.
Published: (2025)
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
by: Ahn, Woo-Jin, et al.
Published: (2025)
by: Ahn, Woo-Jin, et al.
Published: (2025)
DiRL: An Efficient Post-Training Framework for Diffusion Language Models
by: Zhu, Ying, et al.
Published: (2025)
by: Zhu, Ying, et al.
Published: (2025)
Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
by: Ding, Rui, et al.
Published: (2025)
by: Ding, Rui, et al.
Published: (2025)
Scalable Simulation-Based Model Inference with Test-Time Complexity Control
by: Gloeckler, Manuel, et al.
Published: (2026)
by: Gloeckler, Manuel, et al.
Published: (2026)
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
by: Cao, Defu, et al.
Published: (2024)
by: Cao, Defu, et al.
Published: (2024)
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
by: Ding, Hang, et al.
Published: (2025)
by: Ding, Hang, et al.
Published: (2025)
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
by: Shen, Xuan, et al.
Published: (2024)
by: Shen, Xuan, et al.
Published: (2024)
e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration
by: Cheong, Hyunmin, et al.
Published: (2025)
by: Cheong, Hyunmin, et al.
Published: (2025)
Tokenised Flow Matching for Hierarchical Simulation Based Inference
by: Charles, Giovanni, et al.
Published: (2026)
by: Charles, Giovanni, et al.
Published: (2026)
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
by: Wang, Zhenyi, et al.
Published: (2023)
by: Wang, Zhenyi, et al.
Published: (2023)
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)
by: Scassola, Davide, et al.
Published: (2023)
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
by: Graves, Reid, et al.
Published: (2024)
by: Graves, Reid, et al.
Published: (2024)
Automatic Calibration for Membership Inference Attack on Large Language Models
by: Zade, Saleh Zare, et al.
Published: (2025)
by: Zade, Saleh Zare, et al.
Published: (2025)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)
by: Wang, Zhihao, et al.
Published: (2024)
Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
by: Moreira, Ricardo, et al.
Published: (2024)
by: Moreira, Ricardo, et al.
Published: (2024)
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
by: Mei, Kangfu, et al.
Published: (2023)
by: Mei, Kangfu, et al.
Published: (2023)
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
by: Ranjan, Yash, et al.
Published: (2025)
by: Ranjan, Yash, et al.
Published: (2025)
LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
by: Huang, Yuhang, et al.
Published: (2025)
by: Huang, Yuhang, et al.
Published: (2025)
Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)
by: Li, Xiner, et al.
Published: (2025)
Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)
by: Kasivelrajan, Shailesh
Published: (2026)
Inference Attacks Against Graph Generative Diffusion Models
by: Wang, Xiuling, et al.
Published: (2026)
by: Wang, Xiuling, et al.
Published: (2026)
Similar Items
-
Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024) -
OneFlowSBI: One Model, Many Queries for Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2026) -
GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding
by: Nautiyal, Mayank, et al.
Published: (2026) -
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
by: Ju, Li, et al.
Published: (2026) -
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models
by: Nautiyal, Mayank, et al.
Published: (2025)