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Period ending 2026-09-21

12 new papers

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Period ending 2026-09-14

5 new papers

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Period ending 2026-09-07

14 new papers

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392 papers

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  1. Hybrid Latents: Geometry-Appearance-Aware Surfel Splatting

    Apr 16, 2026Neel Kelkar, Simon Niedermayr, Klaus Engel +1Feed-Forward 3D Gaussian ReconstructionNovel View Synthesis

  2. Physically Grounded 3D Generative Reconstruction under Hand Occlusion using Proprioception and Multi-Contact Touch

    Apr 10, 2026Gabriele Mario Caddeo, Pasquale Marra, Lorenzo Natale3D HandProprioception

  3. Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching

    Mar 27, 2026Andrea Fraschini, Davide Tenedini, Riccardo Zamboni +2Deep Reinforcement LearningContext Compression

  4. A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing

    Mar 23, 2026Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1Hyperspectral ImagingRemote Sensing

  5. ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image Analysis

    Mar 20, 2026Lubin Gan, Jing Zhang, Heng Zhang +4Whole-Slide ImagesMultiple Instance Learning

  6. DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising

    Mar 19, 2026Tianjiao Yu, Xinzhuo Li, Muntasir Wahed +43D Generative Models3D Generation

  7. ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction

    Mar 16, 2026Seungryong Lee, Woojeong Baek, Joosang Lee +1TomographyImage Reconstruction

  8. Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

    Mar 12, 2026David Baumgartner, Eliezer de Souza da Silva, Iñigo UrteagaTime-Series Anomaly DetectionAnomaly Detection

  9. Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

    Mar 3, 2026Mohammadreza Nakheai, Aidan Scannell, Kevin Luck +1Offline Reinforcement LearningDeepmind Control Suite

  10. Imagination Helps Visual Reasoning, But Not Yet in Latent Space

    Feb 26, 2026You Li, Chi Chen, Yanghao Li +4Latent Visual ReasoningVisual Reasoning

  11. SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis

    Feb 26, 2026Agamdeep S. Chopra, Caitlin Neher, Tianyi Ren +3Magnetic Resonance ImagingMedical Image Generation

  12. Make Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space Perturbations

    Feb 23, 2026Blaž Rolih, Matic Fučka, Filip Wolf +1Change DetectionRemote Sensing

  13. Multi-Way Representation Alignment

    Feb 5, 2026Akshit Achara, Tatiana Gaintseva, Mateo Mahaut +5Latent Space

  14. Towards Understanding Steering Strength

    Feb 2, 2026Magamed Taimeskhanov, Samuel Vaiter, Damien GarreauActivation SteeringSteering

  15. Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation

    Jan 21, 2026Yifei Liu, Changxing Ding, Ling Guo +2Text-To-Motion GenerationPre-Trained Video Diffusion Models

  16. VENI: Variational Encoder for Natural Illumination

    Jan 20, 2026Paul Walker, James A. D. Gardner, Andreea Ardelean +2Inverse RenderingVariational Autoencoder

  17. CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

    Dec 8, 2025Tianxingjian Ding, Yuanhao Zou, Chen Chen +2TreatmentLatent Space

  18. LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation

    Dec 4, 2025Ngoc Huynh Trinh, Hoang Anh Nguyen Kim, Hai Toan Nguyen +1Medical Image SegmentationVariational Autoencoder

  19. Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos

    Dec 1, 2025Xavier Thomas, Youngsun Lim, Ananya Srinivasan +2Large-Scale Video Generation ModelsHuman Motion Generation

  20. Diffusion Model in Latent Space for Medical Image Segmentation Task

    Dec 1, 2025Ngoc Huynh Trinh, Hai Toan Nguyen, Son Ba Luong +1Medical Image SegmentationIdentity-Conditioned Latent Diffusion Models

  21. Enabling Agents to Communicate Entirely in Latent Space

    Nov 12, 2025Zhuoyun Du, Runze Wang, Huiyu Bai +6Efficient Latent ReasoningCommunication Efficiency

  22. AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders

    Nov 8, 2025Ayantika Das, Arunima Sarkar, Keerthi Ram +1Identity-Conditioned Latent Diffusion ModelsAlzheimer

  23. XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

    Nov 4, 2025Shichao Fan, Kun Wu, Zhengping Che +12Vision-Language-Action ModelsRobotic Datasets

  24. DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space

    Sep 29, 2025Wenkun He, Yuchao Gu, Junyu Chen +11Text-To-Image Diffusion ModelsImage Generation

  25. CompLLM: Compression for Long Context Q&A

    Sep 23, 2025Gabriele Berton, Jayakrishnan Unnikrishnan, Son Tran +1Efficient Long-Context InferenceLarge Language Model Compression

  26. No Data Wasted: A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels

    Aug 15, 2025Yiyang Shen, Weiran WangSemi-Supervised LearningMulti-View

  27. Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models

    Jun 25, 2025Xinghao Dong, Huchen Yang, Jin-Long WuMultiscale DynamicsNonlinear Dynamics

  28. Latent Space Analysis for Interpretable Uncertainty in Melanoma Classification

    Jun 23, 2025Ciro Listone, Aniello MuranoSkin Lesion ClassificationMammography

  29. ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning

    Jan 24, 2025Aleksandar Vujinovic, Aleksandar KovacevicImitation LearningJoint-Embedding Predictive Architectures

  30. Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models

    Date pendingMarcus Armstrong, Navid Ayoobi, Arjun MukherjeeFrozen ModelsFeed-Forward Network

  31. Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs

    Date pendingGuiqiu Liao, Matjaz Jogan, Daniel A. HashimotoMulti-Modal Large Language ModelsVideo Latents

  32. Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization

    Date pendingLuo Long, Coralia Cartis, Paz Fink ShustinBayesian OptimizationDimensionality Reduction