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21 papers in the last four weeks, up 163% on the four weeks before. 0.2% of all new papers.

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Latest papers 160

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Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
Oct 2, 2026Maksym Tretiakov, Sarah Filippi, Vincent Fortuin +3Variational Inference Latent Variable
LMU Munich · Munich Center for Machine Learning (MCML) · Imperial College London +3
Sphere Encoder 2
Oct 1, 2026Kaiyu Yue, Sean McLeish, Ruchit Rawal +3Autoencoder Architectures Autoregressive Image Generation
University of Maryland · Lawrence Livermore National Laboratory · Cornell University
MoLE: Mixture of Latent Experts for Complementary Visual Reasoning
Oct 1, 2026Yingcheng Liu, Tianyi Jiang, Yujuan Ding +5Latent Visual Reasoning Visual Reasoning
Tongji University, China · Hong Kong Polytechnic University, Hong Kong · Alibaba Group, China +1
Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding
Sep 30, 2026Yonghan JungCausal Inferences Latent Confounders
School of Information Sciences University of Illinois Urbana-Champaign
The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization
Sep 30, 2026Yaling Shen, Tongtong Wu, Siyuan Yan +1Personalization Progress Reward Modeling
Monash University
Flow Matching under Noisy Latent Structure: Beyond Exact Low-Dimensional Support
Sep 30, 2026Lifeng Hao, Shaolin JiLatent Variable Rectified Linear Unit
Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan 250100, Shandong, China.
Point2Part: Unified 3D Partitioning from Point Prompts
Sep 29, 2026Hao-Tang Tsui, Yu-Rou Tuan, Xiaoxuan Ma +33D Models Partitioning
Carnegie Mellon University
Large-scale factor analysis shows machine intelligence is only partially interpretable
Sep 29, 2026Faiz Ghifari Haznitrama, Afrizal Hasbi Azizy, Faeyza Rishad ArdiExploratory Factor Analysis Intelligence
School of Computing, KAIST · Independent Researcher
LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents
Sep 28, 2026Yuning Han, Yangchenchen Jin, Tyler Jandreau +1Verification Framework Swe-Bench Verified
University of Florida · Aeronix
ATLAS: Aligned Transport of Latent Structure for Reliable World Model Planning
Sep 28, 2026Ke Fang, Yupu Yao, Lu ChengLatent World Models World Models
Pennsylvania State University
Structured Latent Modeling for Supervised Multimodal Information Decomposition
Sep 28, 2026Wanting Huang, Sanvesh Srivastava, Weiran WangMultimodal Learning Multimodal Classification
Department of Computer Science University of Iowa · Department of Statistics University of Iowa
GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling
Sep 28, 2026Moshe Eliasof, Eldad HaberLithology Classification Geological Semantic Understanding
Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel · Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Canada
When Is an SAE Feature Interpretable? A Validation Ladder for EEG Foundation Models
Sep 28, 2026Yucong Cao, Chenqi Li, Tingting ZhuElectroencephalography Foundation Models Sparse Autoencoder Features
Department of Engineering Science University of Oxford
Posterior Regimes and Latent Deception: Variational Bayesian Inference in Hidden Markov Models for Sequential Fraud Detection in Financial Transactions
Sep 27, 2026Joseph Uririoghene Obukofe, Anthony O'Hare, Chioma Sandra DikeFraud Detection Hidden Markov Models
Computing Science and Mathematics, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, Scotland, United Kingdom · University of Nottingham, Nottingham, NG7 2RD, United Kingdom
CompliantWBC: Whole-Body Compliance for Heavy Humanoids via Force Latent Estimation and Residual Impedance Targets
Sep 27, 2026Tan-Dzung Do, Cuc T. Trinh, Tuan Dat Phuong +4Whole-Body Control Impedance Control
VinRobotics · National University of Singapore · VinUniversity +1
Towards Identifiable Representations under Misspecified Structure
Sep 27, 2026Yuke Li, Yujia Zheng, Ziyi Chen +2Identifiability Latent Variable
University of Maryland College Park, College Park, MD, USA · Carnegie Mellon University, Pittsburgh PA, USA
Hessian Rank Constraint for Learning Structure of Nonlinear Latent Variable Models
Sep 21, 2026Zijian Li, Ruichu Cai, Feng Xie +7Hessian Latent Variable
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Carnegie Mellon University, Pittsburgh, PA, USA · Guangdong University of Technology, Guangzhou, China +3
Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control
Sep 17, 2026Hanchu Zhou, Brendan Lynch, Raman Goyal +4Tactile World Model Efficient World-Action Model
University of California, Davis, One Shields Avenue, Davis, CA, USA · Analog Devices · Analog Devices, San Jose, CA, USA
BINDER: A Latent Variable Model for Probabilistic Medical Image Registration
Sep 17, 2026Stefano Cerri, Amirhossein Hassankhani, Yaël Balbastre +1Image Registration Latent Variable
Copenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Denmark, and the Pioneer Centre for Artificial Intelligence, University of Copenhagen, Denmark · Department of Neuroscience and Biomedical Engineering, Aalto University, Finland · Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London +1
Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices
Sep 16, 2026Fateme Mazdarani, Carlos ToxtliSingular Value Decomposition Clustering
School of Computing Clemson University Clemson, SC, USA
Pre-Trained Low-Rank Tensor Decomposition for Multi-Dimensional Image Recovery
Sep 14, 2026Bing-Zhang Fu, Zhi-Long Han, Ting-Zhu Huang +2Tensor Decomposition Low-Rank Structure
School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China · Pazhou Laboratory (Huangpu), Guangzhou, Guangdong 510335, China
Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Aug 31, 2026Jing Wang, Shuaiqiang Liu, Cornelis VuikVolatility Conditional Variational Autoencoder
Delft Institute of Applied Mathematics, Delft University of Technology
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs
Aug 31, 2026Deniz Bayazit, Badr AlKhamissi, Antoine BosselutMultilingual Language Models Language Pairs
EPFL
Different representation learning objectives recover distinct latent structures from the same psychometric data
Aug 31, 2026Cong Cao, Tassos C. Kyriakides, Pambos VrasidasPsychometric Properties Representational Similarity Analysis
Department of Biostatistics, Yale School of Public Health, Yale University, New Haven · Cooperative Studies Program Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, USA · Center for the Advancement of Research & Development in Educational Technology (CARDET), Nicosia, Cyprus
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
Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada · Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario, Ontario, Canada · Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA +1
Intervention, Not Shared Latents: Blocking Visual Shortcuts in Audio-Video Generation
Aug 14, 2026Jian Xu, Delu Zeng, John PaisleyAudio-Video Generation Shortcut Learning
RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1
$β$ -VAEs as Effective Theories: Tolerance-Dependent Dimension
Aug 11, 2026Johannes HirnRepresentation Collapse Nonlinearity
Image Processing Laboratory (IPL), Universitat de València, Paterna, València 46980, Spain
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
Aug 10, 2026Kaustubh Shivshankar Shejole, Tanish Agarwal, Arpit Agarwal +1Progress Reward Modeling Log-Ratio-Based Gaussian Trust Weight
IIT Bombay, Mumbai, India – 400076
Graph-Guided Safe Diffuser: Topological Graph Guidance for Safe Diffusion Planning
Aug 10, 2026Nakgyu Yang, KwangBin Lee, SooJean HanDiffusion Planning Physics-Guided Diffusion
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Republic of Korea
Learning from Consensus and Disagreement: Unsupervised On-Policy Self-Distillation with Minority-Trajectory Contrast
Aug 9, 2026Jiaxin Guo, Yanwei Yue, Xuanbo Fan +2Unsupervised On-Policy Self-Distillation Disagreement
School of Intelligence Science and Technology, Peking University · State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China · Ucap Cloud
KVAE: Family of Tokenizers for Multimodal Generative Models
Aug 6, 2026Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov +11Visual Tokenizers Star-Vae
Kandinsky Lab
SR-JEPA: Learning Predictive Latent State in 3D Scenes
Aug 6, 2026Zihan Zhou, Qifu Wen, Xi ZengNext-State Prediction Latent Variable
Boston University, Boston, MA, USA · Shanghai Jiao Tong University, Shanghai, China
PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models
Aug 6, 2026Xi Zeng, Haojie Ren, Ziying Song +2Latent World Models Joint-Embedding Predictive Architectures
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore · The University of Sheﬃeld, Sheﬃeld, United Kingdom · School of Artiﬁcial Intelligence (School of Software), Yanshan University, Qinhuangdao, China
UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
Aug 4, 2026Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt +3Transition Learning Latent Variable
Amplify Education, Inc.
Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation
Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3Recommendation Latent Variable
Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China · Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China · School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand
EmbodiedVAE: Disentangled Video VAE for Efficient and Controllable Embodied Manipulation
Aug 4, 2026Jiayi Luo, Hanxin Zhu, Chen Gao +5Robotic Manipulation Latent Motion
Beihang University · Zhongguancun Academy · University of Science and Technology of China +3
Beyond Global Latents: Chunk-Based Sparse Grid VAE for Scalable 3D Modeling
Aug 3, 2026Kaiyi Zhang, Zhihao Liang, Haolin Liu +8Voxel 3D Reconstruction
Hong Kong University of Science and Technology · Tencent Hunyuan · The Chinese University of Hong Kong
LongChart VQA: A Comprehensive Benchmark for MLLMs with Complex Multi-Chart Reasoning
Aug 2, 2026Ziyan Xiao, Yinghao Zhu, Wenting Zhang +2Chart Multimodal Large Language Models
The University of Hong Kong
Flow Matching with Missing Data
Jul 30, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuImputation Conditional Flow Matching
Department of Computer Science, University of Kentucky
DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement
Jul 30, 2026Shubin Ma, Liang Zhao, Chuanye He +4Multi-View Multimodal Alignment
Dalian University of Technology Dalian, Liaoning, China · Inspur Group Co., Ltd. Jinan, Shandong, China · China University of Mining and Technology Xuzhou, Jiangsu, China +1
The Confounder Trap: Treatment-Encoding Representations in Causal Inference with Text
Jul 28, 2026Marie Neubrander, Graham Tierney, Alexander VolfovskyLatent Confounders Causal Inferences
Department of Statistical Science Duke University Durham, NC, 27705
Contrastive Representation Learning of Longitudinal Disease Trajectories on Temporal Graphs
Jul 28, 2026Bastian PfeiferPatient Trajectories Longitudinal Patient Records
Institute for Medical Informatics, Statistics and Documentation · Medical University Graz · Graz, Austria
Soft-Constrained Optimization of Latent Space in Variational Autoencoders
Jul 26, 2026Ye ShiConditional Variational Autoencoder Latent Variable
Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906 USA
Beyond ICA: Identifiability by Symmetry Breaking
Jul 25, 2026Pengzhou WuIdentifiability Independent Component Analysis
SANKEN, University of Osaka
Non--negative matrix factorization using the \textit{R} package \textsf{nnmf}
Jul 22, 2026Volkan Sevinç, Nikolas Kontemeniotis, Theodoros Perdikis +1Nonnegative Matrix Factorization Dimensionality Reduction
Muğla Sıtkı Koçman University, Faculty of Science, Department of Statistics, Kötekli Kampüsü, Muğla, Türkiye · Department of Economics, University of Crete, Gallos Campus, Rethimno, Greece · Department of Tourism Studies, University of Piraeus, Piraeus, Greece +1
Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Jul 22, 2026Zheng Li, Hao Zhang, Ruxin Wang +3Causal Discovery Methods Local Causal Structures
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. · School of Computer Science, Guangdong University of Technology, Guangzhou, China. · Peng Cheng Laboratory, Shenzhen, China. +3
Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
Jul 21, 2026Laurin Wagner, Mario Zusag, Bernhard ThallingerAutomatic Speech Recognition Transcription
nyra labs · nyra labs, Austria
RAMP: Recognition parametrisation by Amortised Message Passing
Jul 21, 2026Lior Fox, Kai Biegun, James Heald +31B Parameters Latent Variable
1Gatsby Computational Neuroscience Unit · Centre for Artificial Intelligence University College London
Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS
Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiExploratory Factor Analysis Latent Variable
Harvard University
Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence
Jul 20, 2026Katarzyna Filus, Sebastian PokucińskiMechanistic Interpretability Semantic Representations
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland · Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Toward a mechanistic understanding of inference in visual cortex and diffusion models
Jul 17, 2026Zeyu Yun, Alexander Belsten, Dasheng Bi +3Human Visual Cortex Diffusion Models
Dept. of Electrical Engineering and Computer Science, UC Berkeley · Redwood Center for Theoretical Neuroscience, UC Berkeley · Herbert Wertheim School of Optometry and Vision Science, UC Berkeley +3
On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels
Jul 17, 2026Taiga Mori, Koji Inoue, Divesh Lala +1Turn-Taking Latent Variable
Graduate School of Informatics, Kyoto University, Japan
GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding
Jul 15, 2026Hao Li, Han Fang, Zixin Pan +83D Spatial Reasoning Multimodal Large Language Models
Shanghai Jiao Tong University · Xingchen AGI Lab, China Telecom Artificial Intelligence Technology (Beijing) · The Hong Kong University of Science and Technology (Guangzhou) +1
The Computational Basis of Confidence in Large Language Models
Jul 14, 2026Dharshan Kumaran, Viorica Patraucean, Maks Ovsanikov +2Latent Variable Social Norms
Google DeepMind · Google DeepMind and École Polytechnique · École Polytechnique +1
Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor
Jul 13, 2026Burhan Ogut, Michelle YinCovariates Causal Inferences
American Institutes for Research. · Northwestern University, School of Education and Social Policy.
The Spectral Structure of Latent Treatment Effects
Jul 12, 2026Hamza Virk, Bijan Mazaheri, Yihren WuHeterogeneous Treatment Effects Latent Confounders
1Dartmouth College · 2Broad Institute of MIT and Harvard · 3Hofstra University
LIDAR-AD: A Decoder-Free Latent-Interaction Dreamer with Action-Residual Chains for Autonomous Driving
Jul 12, 2026Yongzhi Liu, Yang Xiao, Zhong Cao +5Autonomous Driving Low-Latency Latent Planning
School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu 211189, China · Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA · Xheart Technology Co., Ltd., Suzhou, Jiangsu 215100, China
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
Jul 10, 2026Debargha Ghosh, Silja Renooij, Anna V. KononovaCausal Discovery Methods Latent Confounders
Department of Information and Computing Sciences, Utrecht University · Leiden Institute of Advanced Computer Science, Leiden University
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 DavatzikosStar-Vae Latent Variable
Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania · Department of Bioengineering, University of Pennsylvania · Department of Electrical and Systems Engineering, University of Pennsylvania +1
Unpaired Joint Distribution Modeling via Multi-Scale Image Representations
Jul 9, 2026Yihang Zou, Hui Zhang, Zuowei Shen +1Multiscale Representation Learning
Yau Mathematical Sciences Center and Department of Mathematical Sciences, Tsinghua University, Beijing, China · Qiuzhen College, Tsinghua University, Beijing, China · Department of Mathematics, National University of Singapore, Singapore +1

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Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models

Maksym Tretiakov, Sarah Filippi, Vincent Fortuin, Ruth Misener+2

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

Variational Inference Latent Variable

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Many machine learning methods aim to approximate the lower-dimensional manifold on which the data lives. A desirable feature of such methods is that they should capture the epistemic uncertainty of this learned manifold. One model that achieves this is the Gaussian Process Latent Variable Model, in which a Gaussian Process (GP) mapping from the latent space provides an estimate of the uncertainty of the manifold. However, the effectiveness of this uncertainty estimation is limited by the mean-field variational approximation between the GP inducing points and the latent variables. In this work, we apply Amortized Structured Stochastic Variational Inference to allow the variational posterior for the latent space to be conditionally dependent on the value of the inducing points. We demonstrate that this more flexible variational posterior improves several metrics relating to the reconstruction of points on the data manifold.

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