Variational Inference

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Latest papers 139

14 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Implicit and explicit reparameterizations of the Folded Normal and Rice distributions

    Oct 12, 2026Luis Aldama, Kevin Dalton, Minhuan Li +1Variational Inference

    The Harvard Biophysics Graduate Program, Harvard University, Cambridge, Massachusetts, United States · Department of Molecular and Cellular Biology, and John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States · LCLS Data Systems, SLAC National Accelerator Laboratory, Menlo Park, CA 94025. +1

  2. Amortized Variational Inference of Latent Intensities from Replicated Point Patterns

    Oct 12, 2026Wenqing Liu, Xenia Miscouridou, Déborah SulemAmortized InferenceVariational Inference

    Faculty of Informatics, Università della Svizzera italiana, Lugano, Switzerland · Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus

  3. Scalable Sparse Autoregressive Variational Inference for Non-Gaussian Spatial Fields

    Oct 9, 2026Paul F. V. Wiemann, Matthias KatzfussVariational Inference

    Department of Statistics, The Ohio State University, Columbus OH 43210, USA · Department of Statistics, University of Wisconsin–Madison, Madison WI 53706, USA

  4. Scan-Parallel Variational Inference for event-driven Latent Jump Models

    Oct 9, 2026Vansh Bansal, Min Chen, James G. ScottState Space ModelsIrregular Time-Series Modeling

    Department of Statistics and Data Science UT Austin

  5. The Impact of Likelihood Tempering on the Limiting Predictive Moments of Variational Bayesian Linear Neural Networks

    Oct 6, 2026Ian Zhang, Thibault RandrianarisoaBayesian Neural NetworksVariational Inference

    Department of Statistical Sciences, University of Toronto · Dunlap Institute for Astronomy and Astrophysics

  6. Generalized Matheron Variational Implicit Processes

    Oct 6, 2026Luis A. Ortega, Andrés R. Masegosa, Thomas D. NielsenBayesian InferenceGaussian Processes

    Aalborg University

  7. Latent Similarity Gaussian Processes: A Theory-Grounded Approach to Personalized Suicide-Risk Forecasting for Clinical Decision-Support

    Oct 5, 2026Yaniv Yacoby, Weiwei Pan, Hope Neveux +4Latent Variable ModelsSuicide Risk Modeling

    Wellesley College · Harvard University · Harvard University Harvard Medical School Massachusetts General Hospital

  8. Gaussian Flow Dynamics: Simulation-Free Neural SDE Learning Beyond One-Time Marginals

    Oct 3, 2026Grigory Bartosh, Christian A. NaessethStochastic Differential EquationsLatent Dynamics Modeling

    Informatics Institute University of Amsterdam

  9. Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models

    Oct 2, 2026Maksym Tretiakov, Sarah Filippi, Vincent Fortuin +3Latent Variable ModelsAmortized Inference

    LMU Munich · Munich Center for Machine Learning (MCML) · Imperial College London +3

  10. To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model

    Oct 2, 2026Xianzhi Zeng, Jiangneng Li, Gao CongCausal Reasoning in Language ModelsVariational Inference

    College of Computing and Data Science Nanyang Technological University Singapore, 639798

  11. QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States

    Sep 30, 2026Yuchen Cong, Zerui Tao, Chao Li +2Bayesian InferenceQuantum-Inspired ML

    Juntendo University · RIKEN-AIP

  12. Variational Mixtures and Multi-Marginal Flow Matching: Advancing Statistical Inference with Biological Applications

    Sep 29, 2026Oskar KvimanVariational InferenceFlow Matching

    kth royal institute of technology

  13. Simulation-Free Learning of GP-SDEs from Irregular Observations

    Sep 27, 2026Zhidi Lin, Yuhao Liu, Ying Li +2Stochastic Differential EquationsState Space Models

    The University of Hong Kong · Capital One · National University of Singapore +1

  14. DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting

    Sep 26, 2026Weiwei Ye, Dongyuan Li, Hangchen Liu +3Time Series ForecastingProbabilistic Time Series Forecasting

    The University of Tokyo · Harbin Institute of Technology, Shenzhen

  15. PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation

    Sep 22, 2026Yuta TarumiAmortized InferenceData Assimilation

    iTHEMS RIKEN Kobe, Japan

  16. Variational objectives for amortized Bayesian inference in inverse problems: The role of posterior conditioning

    Sep 21, 2026Abhishek Srivastava, Arijit Hazra, Rajesh DubbakuAmortized InferenceBayesian Inverse Problems

    Department of Mechanical Engineering, Indian Institute of Technology Palakkad · Department of Mathematics, Indian Institute of Technology Palakkad

  17. Theoretical Study on the Evidential Learning-based Variational Autoencoder

    Aug 19, 2026Ge WangVariational AutoencodersVariational Inference

    Rensselaer Polytechnic Institute, Troy, New York, USA

  18. Information Geometry of Message Passing

    Aug 16, 2026Mykola Lukashchuk, Kyrylo Yemets, Alex Ledbetter +1Probabilistic Graphical ModelsVariational Inference

    Eindhoven University of Technology · Lviv Polytechnic National University · Lazy Dynamics, Utrecht, the Netherlands

  19. Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering

    Aug 16, 2026Zheming Xu, Aiyue Tang, Shidi Chen +4Multi-View ClusteringMulti-View Learning

    School of Computer Science & Technology, Beijing Jiaotong University · Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, China · Department of Data Science, BI Norwegian Business School, Oslo, Norway +2

  20. Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

    Aug 11, 2026Qiyao Zhou, Xujia Zhu, Pierre Joli +2Neural Surrogate ModelingParameter Estimation

    LMEE, UnivEvry, Université Paris-Saclay, Evry, France · L2S, Université Paris-Saclay, CNRS, CentraleSupéléc, Gif-sur-Yvette, France · CEREA, ENPC, EDF R&D, Institut Polytechnique de Paris, Île-de-France, France

  21. SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery

    Aug 5, 2026Shrenik ZinageCausal DiscoveryVariational Inference

    Massachusetts Institute of Technology · This work was conducted while the author was a PhD student at Purdue University, independently of the author’s dissertation research.

  22. Constrained Co-Design for Photonic Bayesian Neural Networks

    Aug 3, 2026Hendrik Borras, Xiao Wang, Bernhard Klein +4Bayesian Neural NetworksUncertainty Quantification

    Hardware and Artificial Intelligence Lab, Institute of Computer Engineering, Heidelberg University, Germany · Neuromorphic Quantumphotonics Kirchhoff-Institute for Physics, Heidelberg University, Germany

  23. PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM

    Jul 27, 2026Kart-Leong LimBayesian Mixture ModelsClustering

    Institute of Microelectronics, A*Star Singapore

  24. DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton

    Jul 26, 2026Nour Jamoussi, Ikram Dridi, Giuseppe Serra +1Bayesian Neural NetworksPrivacy-Preserving ML

    EURECOM, Sophia Antipolis, France · Concordia University, Montreal, Canada · University of Granada, Granada, Spain

  25. Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis

    Jul 24, 2026Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron +1Latent Dynamics ModelingLow-Rank Matrix Decomposition

    CRAN, Université de Lorraine, CNRS, Vandoeuvre-l`es-Nancy, France. · Department of CSEE, University of Maryland Baltimore County, Baltimore, MD 21250, USA.

  26. Sophisticated Policies from Epistemic Priors

    Jul 21, 2026Wouter W. L. Nuijten, Bert de VriesActive InferenceFeedback Control

    Eindhoven University of Technology, 5612 AP Eindhoven, the Netherlands · Lazy Dynamics, Utrecht, the Netherlands

  27. Variational meta-learning inference for low dimensional neural system identification

    Jul 21, 2026Matteo Rufolo, Dario Piga, Marco ForgioneUncertainty QuantificationMeta-Learning

    SUPSI-DTI-IDSIA, Dalle Molle Institute for Artificial Intelligence, Lugano, Switzerland.

  28. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4GPU Kernel OptimizationBayesian Inference

    Computer Science Center, University of Montenegro · Fain Tech, Podgorica, Montenegro · Department of Control and Computer Engineering, Politecnico di Torino +2

  29. Uncovering Latent Reasoning Strategies in Language Models

    Jul 20, 2026Awni Altabaa, John LaffertyPosterior CollapseImplicit Reasoning in Language Models

    Yale University

  30. ImprovedVBGS: Real-time Continual Variational Bayes Gaussian Splatting

    Jul 17, 2026Damani Mguni-Coker3D Gaussian SplattingStreaming 3D Reconstruction

    Independent Researcher