Amortized Inference

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8 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
May 20, 2026Kostas Tsampourakis, Víctor ElviraSimulation-Based Inference Parameter Estimation
School of Mathematics, University of Edinburgh,, EH9 3FD, U.K.
Three Costs of Amortizing Gaussian Process Inference with Neural Processes
May 20, 2026Robin YoungLatent Variable Models Amortized Inference
University of Cambridge, Cambridge, UK
SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
May 15, 2026Shi-ang Qi, Vahid Balazadeh, Michael Cooper +2Amortized Inference Survival Analysis
Vector Institute · University of Toronto · University of Alberta +1
Amortized Energy-Based Bayesian Inference
May 14, 2026Hojjat Kaveh, Ricardo Baptista, Andrew M. StuartAmortized Inference Bayesian Inverse Problems
California Institute of Technology · University of Toronto
Amortized Neural Clustering of Time Series based on Statistical Features
May 13, 2026Ángel López-Oriona, Ying SunAmortized Inference Clustering
CEMSE Division, Statistics Program, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia. · Statistics Program, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Local Inverse Geometry Can Be Amortized
May 13, 2026Aaditya L. KachhadiyaNeural Surrogate Modeling Inference-Time Optimization
Independent Researcher Surat, India
IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning
May 13, 2026Vahid Balazadeh, Hamidreza Kamkari, Medha Barath +2Causal Effect Estimation Parameter Identifiability
University of Toronto · Vector Institute · MIT CSAIL +1
Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks
May 11, 2026Emil Javurek, Dennis Frauen, Marie Brockschmidt +2Causal Effect Estimation Amortized Inference
1LMU Munich · 2Munich Center for Machine Learning (MCML)
It Just Takes Two: Scaling Amortized Inference to Large Sets
May 8, 2026Antoine Wehenkel, Michael Kagan, Lukas Heinrich +1Neural Posterior Estimation Representation Learning
Apple · SLAC National Accelerator Laboratory · TU München +1
One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators
May 7, 2026Panos Tsimpos, Edoardo Calvello, Ayoub Belhadji +1Amortized Inference Bayesian Inference
Operations Research Center MASSachusetts Institute of Technology Cambridge, MA 02139 · Department of Computing and Mathematical Sciences California Institute of Technology Pasadena, CA 91125 · Laboratory for Information and Decision Systems Center for Computational Science and Engineering MASSachusetts Institute of Technology Cambridge, MA 02139 +2
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
May 5, 2026Nan Feng, Xun HuanUncertainty Quantification Amortized Inference
Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, United States
Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
Apr 22, 2026Peter Collett, Alexander Johannes Stasik, Simone Casolo +1Simulation-Based Inference Efficient Inference
Cognite AS, Oslo, Norway · Department of Data Science, Norwegian University of Life Sciences, Ås, Norway · Department for Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway
Amortized Vine Copulas for High-Dimensional Density and Information Estimation
Apr 22, 2026Houman SafaaiCopula Models Amortized Inference
Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University
Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields
Apr 21, 2026Sophia Zorek, Kushal Vyas, Yuhao Liu +3Implicit Neural Representations Amortized Inference
Rice University · Argonne National Laboratory
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
Apr 20, 2026Jonas Arruda, Sophie Chervet, Paula Staudt +6Simulation-Based Inference Amortized Inference
Bonn Center for Mathematical Life Sciences, University of Bonn, Bonn, Germany · Life & Medical Sciences Institute, University of Bonn, Bonn, Germany · Epidemiology and Modeling of Antibiotic Evasion Unit, Institut Pasteur, Paris, France +12
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Mar 25, 2026Easton Huch, Michael KeaneNeural Surrogate Modeling Amortized Inference
Postdoctoral Fellow, Johns Hopkins Carey Business School · Carey Distinguished Professor, Johns Hopkins Carey Business School
Amortized Maximum Inner Product Search with Learned Support Functions
Mar 9, 2026Theo X. Olausson, João Monteiro, Michal Klein +1Amortized Inference Information Retrieval
Apple
Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments
Jan 12, 2026Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab MukherjeeUncertainty Quantification Amortized Inference
Department of Statistics and Data Science, Indian Institute of Technology Kanpur, Kanpur, India 208016 · Marshall School of Business, University of Southern California, Los Angeles, United States 90089-0809
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
Dec 28, 2025Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3Parameter Estimation Amortized Inference
1Rensselaer Polytechnic Institute, USA · 2TU Dortmund University, Germany · University of Oxford, UK.
Adaptive teachers for amortized samplers
Oct 2, 2024Minsu Kim, Sanghyeok Choi, Taeyoung Yun +7Amortized Inference RL Exploration
Mila, KAIST · KAIST · Recursion +1
Amortizing intractable inference in large language models
Oct 6, 2023Edward J. Hu, Moksh Jain, Eric Elmoznino +4Amortized Inference LLM Fine-Tuning
Mila – Quebec AI Institute, Universit´e de Montr´eal · University of Oxford
Delta-AI: Local objectives for amortized inference in sparse graphical models
Oct 3, 2023Jean-Pierre Falet, Hae Beom Lee, Esmeralda S. Whitammer +6Amortized Inference Probabilistic Graphical Models
Mila – Qu´ebec AI Institute, Universit´e de Montr´eal · Mila – Québec AI Institute, Université de Montréal

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Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models

Kostas Tsampourakis, Víctor Elvira

School of Mathematics, University of Edinburgh,, EH9 3FD, U.K.

Simulation-Based Inference Parameter Estimation Amortized Inference Bayesian Inference State Space Models

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State-space models (SSMs) are powerful probabilistic tools for modeling time-varying systems with latent dynamics. Inference in SSMs involves the estimation of latent states and parameters. In this work, we focus on parameter inference, which for SSMs is in general a very challenging problem due to the intractability of the likelihood. Recently, neural estimation methods, such as sequential neural likelihood (SNL), have shown promising results in Bayesian inference problems. In this paper, we show that SNL, when applied to the SSM setting, suffers important limitations, such as requiring a large amount of simulated samples to achieve a moderate performance, scaling poorly with sequence length, while not being amortized. We then introduce a novel inference algorithm called truncated-SNL (T-SNL), which addresses the limitations of SNL. Our algorithm is more accurate, more stable and robust during training, more scalable to longer temporal sequences, and can be amortized when new observations become available. Our experiments show that T-SNL is sample-efficient, robust, and flexible algorithm which outperforms other approaches.

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