"amortized inference" Papers
12 papers found
Conference
Adaptive teachers for amortized samplers
Minsu Kim, Sanghyeok Choi, Taeyoung Yun et al.
ICLR 2025arXiv:2410.01432
20
citations
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
Patrick Seifner, Kostadin Cvejoski, David Berghaus et al.
NEURIPS 2025arXiv:2502.19049
5
citations
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.
NEURIPS 2025arXiv:2508.15593
1
citations
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy et al.
NEURIPS 2025arXiv:2508.09968
14
citations
Self-Improvement in Language Models: The Sharpening Mechanism
Audrey Huang, Adam Block, Dylan Foster et al.
ICLR 2025arXiv:2412.01951
60
citations
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.
ICLR 2025arXiv:2402.07594
10
citations
Amortized Equation Discovery in Hybrid Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas et al.
ICML 2024arXiv:2406.03818
2
citations
Amortizing Pragmatic Program Synthesis with Rankings
Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam et al.
ICML 2024arXiv:2407.02499
5
citations
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
Jonas Arruda, Yannik Schälte, Clemens Peiter et al.
ICML 2024
Bayesian Program Learning by Decompiling Amortized Knowledge
Alessandro Palmarini, Christopher Lucas, Siddharth N
ICML 2024arXiv:2306.07856
2
citations
Direct Amortized Likelihood Ratio Estimation
Adam Cobb, Brian Matejek, Daniel Elenius et al.
AAAI 2024paperarXiv:2311.10571
5
citations
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
TengYe Xu, Zihao Li, Qinyuan Ren
ICML 2024