Latent Variable

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1 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-21

2 new papers

A weekly snapshot of new work published in Latent Variable.

81 papers

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BINDER: A Latent Variable Model for Probabilistic Medical Image Registration
Sep 17, 2026Stefano Cerri, Amirhossein Hassankhani, Yaël Balbastre +1Image Registration Medical Imaging
Provable Guarantees and Efficient Learning of Structural Equation Models with Latent Confounders
Sep 16, 2026Weijian Yu, Jean HonorioStructural Equation Models Latent Confounders
A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Missing Data Imputation
Latent variable models for simultaneous EOV identification and removal in population-based SHM
Aug 12, 2026M. D. Champneys, M. R. Jones, A. J. Hughes +3Structural Health Monitoring Latent Variable
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
Aug 10, 2026Kaustubh Shivshankar Shejole, Tanish Agarwal, Arpit Agarwal +1Process Reward Modeling Shared Rewards
UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
Aug 4, 2026Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt +3Per-Competency Bayesian Knowledge Tracing Latent Variable
Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation
Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3Recommendation Latent Variable
Flow Matching with Missing Data
Jul 30, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuImputation Conditional Flow Matching
Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Jul 22, 2026Zheng Li, Hao Zhang, Ruxin Wang +3Causal Foundation Models Causal Reasoning
Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
Jul 21, 2026Laurin Wagner, Mario Zusag, Bernhard ThallingerLlm-Based Automatic Speech Recognition Accented Speech
RAMP: Recognition parametrisation by Amortised Message Passing
Jul 21, 2026Lior Fox, Kai Biegun, James Heald +3Latent Variable Unsupervised
Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS
Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiLatent Variable Covariate Shift
Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting
Jul 17, 2026Ramin Soleimani, Andrea Visentin, Dirk PeschElectricity Price Forecasting Latent Variable
Toward a mechanistic understanding of inference in visual cortex and diffusion models
Jul 17, 2026Zeyu Yun, Alexander Belsten, Dasheng Bi +3Human Visual Cortex Discrete Diffusion Model
On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels
Jul 17, 2026Taiga Mori, Koji Inoue, Divesh Lala +1Latent Variable
Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor
Jul 13, 2026Burhan Ogut, Michelle YinStructural Equation Models Latent Variable
The Spectral Structure of Latent Treatment Effects
Jul 12, 2026Hamza Virk, Bijan Mazaheri, Yihren WuHeterogeneous Treatment Effects Latent Confounders
CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation
Jul 9, 2026Sai Spandana Chintapalli, Pratik Chaudhari, Christos DavatzikosVariational Autoencoder Latent Variable
Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis
Jul 8, 2026Jinsong Chen, Yi JinExploratory Factor Analysis Model Selection
Knowledge Knows, Verbalization Tells: Disentangling Latent Directions for Mathematical Solvability in LLMs
Jul 6, 2026Nikolaos Xiros, Maria-Eleni Zoumpoulidi, Georgios ParaskevopoulosMathematical Reasoning Large Language Model Reasoning
What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation
Jul 6, 2026Tianhao Niu, Qingfu Zhu, Wanxiang CheChart Code Generation
MDL Meets Latent Confounders: LNML-based Causal Discovery
Jul 5, 2026Zhongyi Que, Shin Matsushima, Kenji YamanishiCausal Foundation Models Latent Confounders
Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions
Jun 27, 2026David Courtis, Ting HuPersonality Mechanistic Interpretability
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow
Jun 25, 2026Ping Xiong, Thomas Schnake, Klaus-Robert Müller +1Temporal Graph Neural Networks Neural Network
Attractive and Repulsive Pattern Control in Sequence Generation
Jun 19, 2026Francois PachetMarkov Latent Variable
Context-Aware Hierarchical Bayesian Modeling of IVF Laboratory Environmental Conditions
Jun 18, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Pia Saldeen +2Reproduction Bayesian
Unsupervised Causal Abstractions Discovery
Jun 17, 2026Théo Saulus, Simon Lacoste-Julien, Dhanya SridharCausal Foundation Models Causal Reasoning
Deep Image Prototype Learning with Geometric Heat-Kernel Priors
Jun 17, 2026Jiarui Xing, Tal Zeevi, Nian Wu +1Learnable Prototypes Latent Variable
Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation
Jun 16, 2026Soheun Yi, Yizhou Lu, Chandler Squires +1Latent Variable Identifiability
Structured Nonparametric Variational Inference for Dependent Latent Modeling
Jun 13, 2026Yuda Shao, Zhiling Gu, Shan YuVariational Inference Latent Variable
Information Lattice Learning as Probabilistic Graphical Model Structure Learning
Jun 11, 2026Haizi Yu, Lav R. VarshneyProbabilistic Inference Factor Graphs
When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic
Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeIdentifiability Latent Variable
Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning
Jun 5, 2026Paarth Gulati, Ilya NemenmanInductive Bias Latent Variable
MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis
Jun 5, 2026Shi Bo, Debarghya Mukherjee, AmirEmad GhassamiCausal Mediation Analysis Covariate Shift
Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
Jun 5, 2026Yawen Ma, Sahoko Ishida, Kate Cain +1Cognitive Diagnosis Latent Variable
Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
Jun 4, 2026Ankur Garg, Michael Stettler, Aaron Schein +1Causal Representation Learning Subspace Intervention Framework
Cosine Misleads: Auxiliary Losses Reshape Vision Language Models, Not Their Latents
Jun 4, 2026XiuYu Zhang, Junfeng Fang, Zhenkai LiangLarge Vision Language Models Visual Reasoning
Environment-Robust Representation Learning with Empirical Bayes
Jun 3, 2026Yuli Slavutsky, Matthew Shen, Bohan Wu +1Bayesian Latent Variable
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
Jun 2, 2026Yan Zeng, Masanori Suganuma, Takayuki OkataniImage Denoising Reconstruction Quality
Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
Jun 1, 2026Roel Hulsman, Carles Balsells-Rodas, Sara MagliacaneCausal Foundation Models Identifiability
Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo
May 29, 2026Xiaoyu Wang, Jonathan H. HugginsVariational Inference Gibbs Measures
MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables
May 28, 2026Sung-Lin Yeh, Wei Zhou, Gil Keren +6Speech Large Language Models Zero-Shot Text-To-Speech
Counterfactually Fair Regression via Optimal Transport
May 27, 2026M. Generali Lince, S. Gaucher, J-J. Vie +1Causal Reasoning Optimal Transport
Identifiable Bayesian Deep Generative Copulas with Unknown Layer Widths for Data with Arbitrary Marginal Distributions
May 26, 2026Joseph Feldman, Yuqi GuGaussian Copula Latent Variable
ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots
May 22, 2026Yibin Wang, Muhan Li, Zihan Guo +1Co-Evolution Robot Systems
Causal Discovery in Structural VAR Models Under Equal Noise Variance
May 21, 2026SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari +1Latent Variable Equivalence
Latent Process Generator Matching
May 19, 2026Lukas Billera, Hedwig Nora Nordlinder, Ben MurrellGenerators Latent Variable
Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language Models
May 19, 2026Qinwu Xu, Xiaofu Ma, Yifan JiangCrystallographic Plane Indices Latent Variable
Score-Based Causal Discovery of Latent Variable Causal Models
May 19, 2026Ignavier Ng, Xinshuai Dong, Haoyue Dai +3Causal Foundation Models Causal Representation Learning
Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing
May 18, 2026Manal Benhamza, Marianne Clausel, Myriam TamiCausal Representation Learning Identifiability
Entropic Auto-Encoding via Implicit Free-Energy Minimization
May 15, 2026Hazhir Aliahmadi, Irina Babayan, Greg van AndersVariational Autoencoder Masked Autoencoders
Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models
May 15, 2026Peter Clapham, Lisa Bonheme, Marek GrzesVariational Autoencoder Latent Structure
Learning with Shallow Neural Networks on Cluster-Structured Features
May 14, 2026Elisabetta Cornacchia, Laurent MassouliéLow-Dimensional Structure Two-Layer Neural Networks
Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling
May 13, 2026Gaurav Rudravaram, Lianrui Zuo, Karthik Ramadass +17Brain Connectome Modality Latent Space
Predicting 3D structure by latent posterior sampling
May 11, 2026Azmi Haider, Dan Rosenbaum3D Latent Diffusion Model 3D Reconstruction
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
May 11, 2026Zheng Li, Feng Xie, Shenglan Nie +3Causal Foundation Models Conditional Independence
Coarsening Linear Non-Gaussian Causal Models with Cycles
May 11, 2026Francisco Madaleno, Francisco C Pereira, Alex MarkhamCausal Representation Learning Structural Causal Model
Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
May 9, 2026ZhiMing Li, Yue SongEstimators Latent Variable
Structured Coupling for Flow Matching
May 8, 2026Xavier Sumba, Carles Balsells-Rodas, Yingzhen LiLatent Variable
BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
May 7, 2026Guyue Luo, Qiao LiuStructural Equation Models Latent Variable

Sep 17, 2026 · cs.CVJ/K move · Enter open · S save

BINDER: A Latent Variable Model for Probabilistic Medical Image Registration

Stefano Cerri, Amirhossein Hassankhani, Yaël Balbastre, Koen Van Leemput

We propose a new probabilistic model for general-purpose medical image registration that builds upon the mutual information registration criterion. It centers around a spatial interpolation technique that assumes latent voxel-wise correspondences between the images being registered. By exploiting these latent variables, we derive dedicated optimization and MCMC sampling techniques that only involve closed-form iterative updates. When applied to nonlinear registration, an efficient demons-like optimization algorithm is obtained that shows robust out-of-the-box performance across a variety of monomodal and multimodal registration tasks. We also demonstrate a corresponding sampler that can quantify, for the first time, uncertainty in multimodal registration scenarios with very high-dimensional 3D deformations. Our code, which we call BINDER (Bayesian INference for DEformable Registration), is freely available at https://github.com/ste93ste/BINDER.

Image Registration Medical Imaging Feature Matching Latent Variable Mutual Information

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