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31 papers in the last four weeks, up 158% on the four weeks before. 0.3% of all new papers.

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  1. Sphere Encoder 2

    Oct 1, 2026Kaiyu Yue, Sean McLeish, Ruchit Rawal +3Autoencoder ArchitecturesAutoregressive Image Generation

    University of Maryland · Lawrence Livermore National Laboratory · Cornell University

  2. Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features

    Oct 1, 2026Jason X. Liu, Sebastian Ibarraran, Frank Hu +7Protein DesignSparse Autoencoder Features

    Stanford University

  3. A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders

    Oct 1, 2026Emmanuela Andam, Yasir Abbas Zaidi, Abdelali Hadir +2MalwareMeta-Learning

    Artificial Intelligence Research (AIR) Center, University of North Dakota, Grand Forks, ND, USA · School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND, USA · National School of Commerce and Management, Hassan II University, Casablanca, Morocco

  4. The hidden advantage of mask resampling: a theory of masked autoencoders

    Oct 1, 2026Jorge Medina Moreira, Lorenzo Bardone, Lenka Zdeborová3D Masked AutoencodersAutoencoder Architectures

    Statistical Physics of Computation Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

  5. Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder

    Sep 30, 2026Wenguang Xu, Giovanni Lucente, Karem Mohamed +1Motion PlanningRobust Trajectory

    Research Institute AImotion Bavaria, Technische Hochschule Ingolstadt (THI), Ingolstadt, Germany · Research Institute of Transportation Systems, German Aerospace Center (DLR), Braunschweig, Germany · German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

  6. Cycle-Aware Autoencoder with Cross-SignalConsistency for Railway Door Anomaly Detection

    Sep 30, 2026Ammar Bouketta, Smail Niar, Hamza Ouarnoughi +1Anomaly ScoreRelighting

    Universit´e Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, Valenciennes, France · Alstom, Crespin, France · Universit´e Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, INSA Hauts-de-France, Valenciennes, France +1

  7. Retargeting Motions to Diverse Skeletons via Learnable Flattening

    Sep 29, 2026Kia-Jüng Yang, Fabian H. Sinz, Paweł A. PierzchlewiczCross-Embodiment RetargetingSkeleton

    Institute of Computer Science, University of Göttingen · Campus Institute Data Science, University Göttingen · Pantomim P.S.A

  8. Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning

    Sep 29, 2026Anthony Fuller, Scott C. Lowe, Daniel G. Kyrollos +3Self-Supervised LearningAutoencoder Architectures

    Vector Institute · Carleton University · University of Guelph +1

  9. HiRAE: Hierarchical Representation Autoencoding with Residual Budgets

    Sep 29, 2026Xuanyu Zhu, Yan Bai, Yang Shi +5Autoregressive Image GenerationAutoencoder Architectures

    Peking University · Agibot Research · Tsinghua University +1

  10. LDM-is-AE: Latent Diffusion Model is an Auto-Encoder for End-to-End Image Generation

    Sep 29, 2026Zhengqiang Zhang, Lingchen Sun, Rongyuan Wu +4Latent Diffusion ModelIdentity-Conditioned Latent Diffusion Models

    The Hong Kong Polytechnic University · OPPO Research Institute

  11. Selecting The Most Informative Tokens in Natural Language Autoencoders

    Sep 29, 2026Federico Torrielli, Gianluca Barmina, Andrea Blasi Núñez +4Explainable AI MethodsModel Activations

    Department of Computer Science, University of Turin, Italy · Department of Mathematics and Computer Science, University of Southern Denmark, Denmark

  12. GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations

    Sep 28, 2026Radosław Nowak, Anna Bielawska, Bogusz Stefańczyk +2Graph Representation LearningGraph Representations

    Institute of Theoretical and Applied Informatics Polish Academy of Sciences · IDEAS Research Institute · Faculty of Mathematics, Informatics and Mechanics Warsaw University of Technology

  13. A Unifying Framework of Concept-based Explainable AI with Completeness Guarantees

    Sep 28, 2026Vojtěch Kůr, Adam Kukučka, Tomáš Brázdil +1Explainable Artificial IntelligenceArtificial Intelligence Models

    Masaryk University, Faculty of Informatics, Brno, Czechia

  14. Functional Autoencoders for Amplitude-Phase Representation Learning

    Sep 28, 2026Peida Wu, Xinyang Xiong, Pengcheng ZengAutoencoder ArchitecturesSpatial Encoding

    School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA · Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China

  15. Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction

    Sep 28, 2026Juhyeon Park, Yeonwoo Kim, Peter Yongho Kim +5Functional Magnetic Resonance ImagingElectroencephalography Foundation Models

    IPAI, Seoul National University · Microsoft Research · ECE, Seoul National University +1

  16. Faithful Activation Verbalization: Reducing Hallucinations in LLM Representation Interpretation

    Sep 27, 2026Haiyan Zhao, Zirui Hei, Wei Shi +3VerbalizationLarge Language Model Hallucination

    New Jersey Institute of Technology · Shanghai AI Laboratory · Xi’an JiaoTong University +1

  17. Understanding Confabulation and Rethinking Reconstruction in Activation Explanations

    Sep 27, 2026Gert Lek, Zixuan Xia, Pin-Yu Chen +1Model ActivationsExplainable AI Methods

    Universit´e de Neuchˆatel · Universität Bern · IBM Research +1

  18. Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach

    Sep 27, 2026Muah Kim, Shuangyang Li, Tayyebeh Jahani-Nezhad +2Integrated Sensing And CommunicationSource-Channel Coding

    Faculty of Electrical and Computer Engineering, Dresden University of Technology, Dresden 01069, Germany · Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin 10587, Germany

  19. FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

    Sep 25, 2026Hongyang Du, Yunfei Xie, Junjie Ye +13Autoencoder ArchitecturesAutoregressive Image Generation

    USC PSI Lab · Brown University · Rice University +4

  20. On the Diffusibility of High-Dimensional Latents

    Sep 23, 2026Chao Feng, Zhiyang Xu, Bowei Chen +7Diffusion ModelsAutoencoder Architectures

    Cornell University · Virginia Tech · University of Washington +2

  21. Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1ImputationFederated Learning

    ARTORG Center for Biomedical Engineering Research University of Bern, Bern, Switzerland · Graduate School for Cellular and Biomedical Sciences University of Bern, Bern, Switzerland

  22. PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning

    Sep 23, 2026Kevin Lee, Alison J. MarchGeomagnetic StormsEarly Warning

    NASA Jet Propulsion Laboratory, La Cañada Flintridge, CA, USA · Department of Mechanical and Aerospace Engineering, UCLA, Los Angeles, CA, USA · College of Engineering & Applied Science, University of Colorado, Boulder, CO, USA

  23. Repurposing Pre-trained LLMs as High Fidelity Continuous Text Autoencoders

    Sep 23, 2026Arkanath Pathak, Unnat Jain, Alexander C. BergAutoencoder ArchitecturesSentence Encoders

    University of California, Irvine

  24. Learning Prognostic Variables for AI Convective Parameterizations via Symbolic Distillation

    Sep 21, 2026Jurij Schönfeld, Tom Beucler, Julien Savre +2Global Climate ModelsAutoencoder Architectures

    Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany · University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany · Faculty of Geosciences and Environment, University of Lausanne, Lausanne, Switzerland +3

  25. VISTA: Video-Injected Stylized Text-to-Animation

    Sep 20, 2026Monseej Purkayastha, Anindita Ghosh, Philipp SlusallekMotion CaptureVista

    Saarland Informatics Campus & German Research Centre for Artificial Intelligence (DFKI), Saarbrücken, Germany · Max Planck Institute for Informatics (MPII), Saarbrücken, Germany

  26. Sharp Reconstruction Bounds for Autoencoders Using the Same Forward Map

    Sep 17, 2026Patricia Medina, Hy P. G. LamReconstruction ErrorAutoencoder Architectures

    New York City College of Technology, CUNY, Brooklyn, NY, USA; The Graduate Center, CUNY, New York, NY, USA. · Department of Mathematical Sciences, Worcester Polytechnic Institute, Worcester, MA, USA.

  27. Mask 2D-3D: Adaptive Dual-Masked Autoencoder Network for Image-to-Point Cloud Registration

    Sep 16, 2026Zhixin Cheng, Jiacheng Deng, Xiaotian Yin +3Point Cloud RegistrationPoint Clouds

    School of Computer Science and Technology, Hefei University of Technology, Hefei 230601, China · School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China · Institute of Advanced Technology, University of Science and Technology of China, Hefei 230027, China

  28. Test-Time Unlearning via Sparse Autoencoder

    Sep 14, 2026Pingzhi Li, Jinhao Duan, Vaishnav Tadiparthi +6ForgettingAttacker Large Language Model

    University of North Carolina at Chapel Hill · 2Honda Research Institute · 3Michigan State University

  29. Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models

    Sep 14, 2026Peipei Li, Dongsen Zhang, Yuchen Liu +1LLM Inference OptimizationTask-Aware Compression

    Beijing University of Posts and Telecommunications, Beijing, China

  30. Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

    Sep 14, 2026Andrea Agostini, Simon Böhi, Moritz Vandenhirtz +7Electrocardiogram Foundation ModelsCardiac

    Department of Computer Science, ETH Zurich, Switzerland · Department of Biomedical Engineering, University of Basel, Switzerland

  31. Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction

    Sep 10, 2026Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2Image ClassificationVision Datasets

    Department of Electrical and Computer Engineering, McMaster University, Hamilton L8S 4L8, Canada · Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran · Department of Computer Science, Seattle University, Seattle, WA 98122-1090, USA

  32. MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation

    Sep 4, 2026Mohanad AlbughdadiTrustworthy Earth Observation DecisionsEarth Observation

    European Centre for Medium-Range Weather Forecasts Bonn, Germany

  33. Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

    Sep 3, 2026Lamine Diop, Marc PlantevitGraph Anomaly DetectionInterpretable Anomaly Detection

    EPITA, Laboratoire de Recherche de l’EPITA (LRE) · Le Kremlin-Bicˆetre, France

  34. Spectral characteristics of autoencoder parameters as a vector representation of data

    Sep 3, 2026Maria Nikitina, Anton Bishuk, Oleg BakhteevAutoencoder ArchitecturesMnist

  35. An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data

    Sep 3, 2026Lucas de Oliveira Cunha, Joelton Deonei Gotz, Paulo Lisboa de Almeida +1Domain AdaptationAutoencoder Architectures

    Universidade Federal do Paraná, Department of Informatics, Curitiba, Paraná, Brazil · Pontifícia Universidade Católica do Paraná, Graduate Program in Informatics (PPGIa), Curitiba, Paraná, Brazil

  36. Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment

    Sep 1, 2026Mian Zhong, Katherine A. Keith, Anjalie FieldLatent ConfoundersCausal Inferences

    Johns Hopkins University · Williams College / Cohere · Cohere

  37. Superposed Latent Autoencoder

    Sep 1, 2026Quanling Zhao, Jiaying Yang, Tianqi Zhang +4Autoencoder ArchitecturesFuture Latent Representations

    University of California San Diego · Georgia Institute of Technology · University of California Riverside +1

  38. Denoising Diffusion Generative Models Secretly Calculate Attentions

    Sep 1, 2026Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3Denoising Diffusion Probabilistic ModelImage Generation

    School of Electrical Engineering, Iran University of Science & Technology, Tehran, IRAN · Independent researcher

  39. Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions

    Aug 31, 2026James Crowley, Faez Ahmed, Anton van BeekPartial Differential EquationsHypothesis Class

    School of Mechanical and Material Engineering University College Dublin · Department of Mechanical Engineering Massachusets Institute of Technology

  40. Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction

    Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinAutoencoder ArchitecturesDimensionality Reduction

    CEA List, Université Paris-Saclay · Palaiseau, F-91120, France · LMS, École Polytechnique, Institut Polytechnique de Paris +1

  41. V-RAE: Rethinking Video Latent Spaces for Generation

    Aug 13, 2026Minghui Guo, Shengqiong Wu, Hao FeiAutoregressive Video GenerationStar-Vae

    National University of Singapore · University of Oxford

  42. ReconSpan: Reconstruction-Guided Adaptive Latent Tokenization

    Aug 13, 2026Lixing LiCompact Latent Sensor TokensAutoencoder Architectures

    Cornell University Ithaca, NY 14853, USA

  43. NAE: Normalizing AutoEncoder

    Aug 12, 2026Muhammad Abdur Rafae, Niels LandwehrAutoencoder ArchitecturesSurrogate Gradient

    University of Hildeshiem

  44. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningGraph Anomaly Detection

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia · Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Italy

  45. AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining

    Aug 8, 2026Vasileios Tzouras, Paraskevas Pegios, Lazaros NalpantidisPrecision AgricultureComputer Vision

    Technical University of Denmark (DTU), Kongens Lyngby, Denmark · Pioneer Centre for Artificial Intelligence, Copenhagen, Denmark

  46. Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations

    Aug 7, 2026Ioannis Ziogas, Ensieh Khazaei, Bilal Taha +4Multimodal Deep LearningHuman Activity Recognition

    Department of Biomedical Engineering and Biotechnology, Khalifa University, 127788 Abu Dhabi, UAE · Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada · MIT Media Lab +2

  47. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningOutliers

    Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia · Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Italy

  48. VoxStruct3D: Structure-Leading Flow Matching for Voxel-Space 3D MRI Synthesis

    Aug 5, 2026Fang Li, Yang Gao, Shihao Zou +5VoxelMedical Image Generation

    State Key Laboratory of Virtual Reality Technology and Systems, Beihang University · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology

  49. Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation

    Aug 5, 2026Scott H. HawleyGenerative MusicSymbolic Music Generation

    Department of Chemistry & Physics Belmont University Nashville, TN, USA

  50. Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement

    Aug 4, 2026Qin Lei, Hao WuAdaptive Histogram EqualizationMedical Image Generation

    Center for Big Data and Intelligent Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China · Key Laboratory of Digital Health and Intelligent Medicine, Chongqing Municipal Health Commission, Chongqing, China · Chongqing Translational Medicine Center, Chongqing, China

  51. Learning a Vector-Symbolic Model for Socio-Cultural Tasks

    Aug 3, 2026Meera Ray, Swapnika Dulam, Christopher L. DancyCognitive ScienceNeuro-Symbolic Framework

    Department of Computer Science and Engineering, The Pennsylvania State University W209 Westgate Building, University Park, PA 16802. USA · Department of Industrial and Manufacturing Engineering, The Pennsylvania State University M310 Leonhard Building, University Park, PA 16802. USA

  52. Music Restoration via Latent Operator Optimization and Diffusion Model Priors

    Aug 3, 2026Michal Švento, Eloi Moliner, Valtteri Kallinen +3Audio EditingSignal Reconstruction

    Dept. of Telecommunications, Brno University of Technology, Czech Republic · Acoustic Lab, Dept. of Information and Communications Engineering, Aalto University, Finland

  53. SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents

    Aug 2, 2026Yibin Huang, Jixiang Hong, Zongzhao Li +8Video LatentsAutoencoder Architectures

    Alibaba Group · Gaoling School of Artificial Intelligence, Renmin University of China

  54. Where Does Generative Difficulty Reside? An Empirical Study of Target Representations

    Aug 1, 2026Marcel Plocher, Bernhard Schölkopf, Andreas Geiger +1Star-VaeImage Generation

    University of Tübingen, Tübingen, Germany · ETH Zürich, Zürich, Switzerland · Max Planck Institute for Intelligent Systems, Tübingen, Germany +2

  55. Representation Transfer of Foundation Models for Ultra-Widefield Retinal Imaging

    Aug 1, 2026Mingya Alexa Gong, Da Ma, Lovre Antonio Budimir +7Recent Vision Foundation ModelsRetinal Imaging

    Institute of Ophthalmology, University College London, London, United Kingdom · Wake Forest University School of Medicine, Winston-Salem, NC, USA · Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Blacksburg, VA, USA +5

  56. Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching

    Aug 1, 2026Hongjie Wu, Yiping Xie, Jiancheng LvBayesian Inverse ProblemsInverse Problem

    College of Computer Science, Sichuan University Chengdu, China

  57. MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation

    Jul 31, 2026Yifei Zhu, Mingyi Shi, Yangyang Cai +3Text-To-Motion GenerationLatent Flow

    1Tohoku University, Sendai, Japan · 2The University of Hong Kong, Hong Kong

  58. SPFM-Net: Semantic-Prior-Guided Frequency-Constrained Mamba for Invisible Watermark Attack

    Jul 30, 2026Chunpeng Wang, Yanan Shi, Zhiqiu Xia +3WatermarksWatermarking

    Qilu University of Technology (Shandong Academy of Sciences) · Dalian Maritime University · Dalian Polytechnic University

  59. MUGEN: A Unified Framework for Efficient Motion Understanding and Generation

    Jul 30, 2026Zhankai Ye, Yukai Jin, Bingyang Wei +5Humanml3DMotion

    1Florida State University · 2Texas Christian University · University of Miami +1

  60. A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation

    Jul 29, 2026Liangyu Wu, Qibin Liu, Alexander Yue +1Wireless Foundation ModelsPretraining

    Department of Physics, Stanford University, 450 Jane Stanford Way, Stanford, 94305, CA, USA. · SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, 94025, CA, USA.