Expectation-Maximization

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  1. Structure Aware Neural Architecture Search for Mixture of Experts

    Aug 30, 2026Petr Babkin, Oleg BakhteevNeural Architecture SearchExperts

  2. Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Robust Federated LearningOne-Shot Federated Learning

  3. Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering

    Jul 29, 2026Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1Monte Carlo SamplingExpectation-Maximization

  4. Nesterov acceleration in optimizing over probability measures

    Jul 25, 2026Jiaqi Tang, Qin Li, Wilfrid GangboNesterovProbability Measures

  5. Incomplete Observations Boost Evolutionary Performance in Ocean Modeling

    Jul 21, 2026Yangyang Kong, Yutong Jiang, Yanhai Gan +3Data AssimilationOcean Dynamics

  6. AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration

    Jul 20, 2026Scott Huberty, Christian O'ReillyElectroencephalogramIndependent Component Analysis

  7. An Efficient Newton Algorithm for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence

    Jul 15, 2026Damien Lesens, Jérémy E. Cohen, Bora UçarNonnegative Matrix FactorizationKullback-Leibler Divergence

  8. Cluster-Weighted EDMD

    Jul 14, 2026Lorenzo Tomaz, Judd Rosenblatt, Flavio Kicis +2Koopman OperatorPhase Space

  9. Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation

    Jun 30, 2026Hyunsoo Lee, Inwoo Hwang, Young Min KimDiffusion ModelsAi-Generated

  10. Simplifying Flow Matching Transformations with Low-Rank Mixture Models

    Jun 29, 2026Liam A. Kruse, Houjun Liu, Alexandros E. Tzikas +2Normalizing FlowsConditional Flow Matching

  11. Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs

    Jun 24, 2026Qiyuan Wu, Katie Z Luo, Bharath Hariharan +2Trajectory PredictionRetrieval-Augmented Forecasting

  12. Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

    Jun 22, 2026Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin +1State Space ModelsExpectation-Maximization

  13. Cohort Organized Learning: Clustering Through Agreement

    Jun 19, 2026Finn Henry O'Shea, Maria Elena MonzaniClusteringCluster

  14. FLM-Occ: Feed-forward Likelihood Maximization for Efficient Indoor Occupancy Prediction

    Jun 19, 2026Guangcheng Chen, Lihuang Fang, Huaqi Tao +33D Semantic Occupancy PredictionVoxel

  15. EM-NeSy: Expectation Maximization for Neurosymbolic Learning

    Jun 12, 2026Annegret Seibt, Luc De Raedt, Giuseppe MarraNeurosymbolic ApproachExpectation-Maximization

  16. Local linear convergence of gradient methods for overparameterized Gaussian mixtures

    May 29, 2026Jingxing Wang, Vasileios Charisopoulos, Maryam FazelGaussian Mixture ModelsOver-Parameterized Neural Networks

  17. Fitting Unknown Number of Hyperplanes with Manifold Optimization

    May 27, 2026Zhiqin Cheng, Yu Zhan, Mingjin Zhang +2Statistical ManifoldExpectation-Maximization

  18. Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random

    May 25, 2026Gyuwon Sim, Sumin Lee, Heesun Bae +5Data ImputationExpectation-Maximization

  19. The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling

    May 23, 2026Trenton Lau, Gary P. T. ChoiExpectation-MaximizationMonte Carlo Sampling

  20. Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers

    May 19, 2026Vineetha Joy, Jamshed Palai, Satwik Sahu +3MetamaterialsGenerative Inverse Design

  21. An Objective Performance Evaluation of the LSTM Networks in Time Series Classification

    May 19, 2026Sooraj Sunil, Balakumar BalasingamTime-Series ClassificationCnn-Lstm

  22. Online Generalised Predictive Coding

    May 4, 2026Mehran H. Z. Bazargani, Szymon Urbas, Adeel Razi +2Predictive CodingData Assimilation

  23. Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms

    Apr 30, 2026Oleg I. Berngardt, Sergey N. PonomarchukClusteringExpectation-Maximization

  24. Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series

    Apr 30, 2026Christopher Holder, Anthony BagnallTime-Series ClassificationTime Series

  25. Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization

    Apr 28, 2026Mohamed Tarek, Pedro AfonsoGeneralized Linear ModelExpectation-Maximization

  26. Fractionally Supervised Classification with Maxima Nominated Samples

    Apr 28, 2026Mohammad Jafari Jozani, Jingyu WangExpectation-MaximizationFinite-Sample

  27. Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction

    Apr 17, 2026Jinghan Zhang, Xitao Gong, Qi Wang +2Wireless Radiance FieldGaussian Splatting

  28. Gradient Descent as Implicit EM in Distance-Based Neural Models

    Dec 31, 2025Alan OurslandExpectation-MaximizationCross-Entropy Losses

  29. LatentCRS: A Variational EM Framework for Bridging Semantics and Behavior in LLM-based Conversational Recommendation

    Mar 12, 2025Guanrong Li, Kuo Tian, Jinnan Qi +4Dialogue SystemsAI Behavior Analysis

  30. A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization

    Feb 24, 2025Wei Liu, Muhammad Khan, Gabriel Mancino-Ball +1Convex OptimizationWasserstein Distance

  31. The EM-algorithm and the Method of Moments in Softmax Mixture Models

    Sep 16, 2024Xin Bing, Florentina Bunea, Jonathan Niles-Weed +1Mixture ModelsExpectation-Maximization

  32. An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations

    Jul 1, 2024Weimin Bai, Yifei Wang, Wenzheng Chen +1Diffusion ModelsExpectation-Maximization

  33. On Universality of Non-Separable Approximate Message Passing Algorithms

    Date pendingMax Lovig, Tianhao Wang, Zhou FanExpectation-MaximizationSeparability