Gaussian Mixture Models

Also known as GMM

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5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

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Latest papers 36

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Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction
Oct 6, 2026Arash Raftari, Babak Ebrahimi Soorchaei, Yaser P. FallahMultimodal Trajectory Prediction Vehicle Trajectory Prediction
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA · Department of Computer Science, University of Central Florida, Orlando, Florida, USA
Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?
Oct 6, 2026Yiran Zhang, Mo Zhou, Weihang Xu +2Gaussian Mixture Models Expectation-Maximization
University of California, Berkeley · University of Washington · Amazon, Inc.
Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
Oct 5, 2026Paweł Lorek, Rafał Nowak, Rafał Topolnicki +2Gaussian Mixture Models Importance Sampling
University of Wrocław · Tooploox · TRAILS University of Warsaw +3
Moment-Accurate Gaussian Mixtures for Constant-Step Stochastic Approximation
Oct 4, 2026Xiaoli Li, Wei Biao WuGaussian Mixture Models Stochastic Approximation
University of Chicago
Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures
Oct 1, 2026Hansheng JiangGaussian Mixture Models Density Estimation
University of Toronto
Federated Clustering with Unknown Local and Global Cluster Cardinalities
Sep 29, 2026Mitushi Goyal, Tarun S., Riddhanya Senapathi +1Clustering Clustered Federated Learning
BITS Pilani K. K. Birla Goa Campus, Goa, India.
Unifying Distributional Training for One-Step Visual Generation
Sep 28, 2026Chi Zhang, Shi Haoyang, Yueyi Liu +9Gaussian Mixture Models T2I Generation
Tsinghua University · Fudan University · Xi’an Jiaotong University +4
Federated Soft Clustering via Generalized Total Variation Minimization
Sep 16, 2026Shamsiiat Abdurakhmanova, Alexander JungGaussian Mixture Models Non-IID Federated Learning
Department of Computer Science, Aalto University, Espoo, Finland
Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
Aug 24, 2026Sofia Gulevskaia, Mikhail Trapeznikov, Aleksandr Poslavsky +1Conditional Distribution Estimation Gaussian Mixture Models
AI VK & Lomonosov MSU Moscow, Russia · AI VK Moscow, Russia
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction
Aug 24, 2026Jiawen Liu, Xuechenxiao Cao, Yutong Li +5Single-Cell Perturbation Modeling Single-Cell Transcriptomics
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China · School of Future Technology, South China University of Technology, Guangzhou, China
Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
Aug 21, 2026Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2Gaussian Mixture Models Class-Imbalanced Learning
Texas State University, United States
Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate
Aug 21, 2026Jae Wan ShimSurrogate-Assisted Optimization Surrogate Modeling
RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection
Aug 17, 2026Junxin Lu, Jing Zhao, Shiliang SunUnsupervised Anomaly Detection Anomaly Detection
Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network
Aug 15, 2026Xiaolong Wang, Xiangwen Hao, Jing Feng +2Parameter Estimation System Identification
Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification
Aug 6, 2026Alex Buna, Shirley Xiaoqi Liu, Patrick RebeschiniEarly Stopping Gradient Descent
Department of Statistics, University of Oxford
Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation
Aug 6, 2026Alperen Kenan, Paul Bremner, Manuel GiulianiRobot Skill Learning Gaussian Mixture Models
Bristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom · Faculty of Electrical Engineering, Kempten University of Applied Sciences, Kempten, Germany
PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM
Jul 27, 2026Kart-Leong LimBayesian Mixture Models Clustering
Institute of Microelectronics, A*Star Singapore
Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning
Jul 26, 2026Minh Vu, Konstantinos SlavakisGaussian Mixture Models Interpretability in RL
Institute of Science Tokyo, Department of Information and Communications Engineering, Yokohama, Japan.
Robust Chance-Constrained Optimization using a Continuous Parameter Space Wasserstein-2 Ambiguity Set of Gaussian Mixtures
Jul 19, 2026Shibshankar Dey, Sanjay MehrotraChance-Constrained Optimization Gaussian Mixture Models
Department of Industrial Engineering and Management Sciences, Northwestern University
Dimension-Calibrated Unexplained Mass: An Interpretable Drift Statistic for Contamination Monitoring in Data Streams
Jul 18, 2026Behnam AsadiConcept Drift Gaussian Mixture Models
DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery
Jul 15, 2026Peiyan Gu, Zixin Teng, Xuming HeBayesian Mixture Models Gaussian Mixture Models
ShanghaiTech University, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging
DP-Splat: Bayesian Nonparametric Complexity Control for Gaussian Splatting
Jul 12, 2026Aqi Dong3D Gaussian Splatting Bayesian Mixture Models
Embry-Riddle Aeronautical University
Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs
Jun 24, 2026Qiyuan Wu, Katie Z Luo, Bharath Hariharan +2Gaussian Mixture Models Probabilistic Forecasting
Cornell University · Stanford University · Boston University
From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction
Jun 22, 2026Hussain Alasmawi, Numan Saeed, Soha Said +1Medical Image Analysis Gaussian Mixture Models
Division of Computing and Mathematical Sciences, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates · Corniche Hospital, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, UAE
Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence
Jun 18, 2026Alexander TyurinScore Matching Optimization Convergence Analysis
AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia
Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more
Jun 9, 2026Spencer Compton, Jerry LiGaussian Mixture Models Density Estimation
Stanford University · University of Washington
Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
Jun 9, 2026Gal Bloch, Ariel Gera, Matan Orbach +2GPU Kernel Optimization GPU Acceleration
IBM Research
SSL-GMMVC: Interpretable Voice Conversion via Locally Linear GMM Transforms in Self-Supervised Representation Space
Jun 9, 2026Tomoya Tanabu, Hiroshi Nishijima, Daisuke Saito +1Gaussian Mixture Models Interpretable ML
The University of Tokyo, Japan
Equivariant Neural Belief Propagation
Jun 4, 2026Zehua Cheng, Wei Dai, Jiahao SunFactor Graph Optimization Gaussian Mixture Models
Department of Computer Science, University of Oxford, Oxford, United Kingdom · FLock.io, London, United Kingdom
Local linear convergence of gradient methods for overparameterized Gaussian mixtures
May 29, 2026Jingxing Wang, Vasileios Charisopoulos, Maryam FazelGradient Descent Gaussian Mixture Models
Electrical & Computer Engineering, University of Washington, Seattle, WA · National Institute for Theory and Mathematics in Biology, Chicago, IL · Amazon, Inc.

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction

Arash Raftari, Babak Ebrahimi Soorchaei, Yaser P. Fallah

Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA · Department of Computer Science, University of Central Florida, Orlando, Florida, USA

Multimodal Trajectory Prediction Vehicle Trajectory Prediction Multi-Agent Trajectory Prediction Gaussian Mixture Models

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Reliable and interpretable trajectory prediction is critical for cooperative and autonomous driving in complex and uncertain environments. This paper introduces a Context-Aware Attention-based Gaussian Mixture Model (CAA-GMM) for multimodal, uncertainty-aware motion forecasting. The proposed approach models future motion as a probabilistic mixture conditioned on both scene context and agent dynamics, capturing diverse behavioral modes with interpretable Gaussian components. A lightweight attention mechanism adaptively encodes inter-agent interactions and contextual salience, enabling efficient fusion of rasterized environment cues and motion history in dense traffic scenes. Comprehensive evaluations on the nuScenes and Argoverse 2 datasets demonstrate that CAA-GMM achieves competitive or superior accuracy compared with state-of-the-art raster-based baselines, while maintaining low computational complexity. Ablation analyses confirm the importance of the attention module for robust contextual reasoning and predictive precision. Furthermore, evaluations under imperfect communication and perception conditions highlight the framework's resilience to uncertainty, establishing CAA-GMM as an efficient and scalable solution for cooperative trajectory prediction in intelligent transportation systems.

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Latest papers 36