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11 papers in the last four weeks, up 38% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 108

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CardsList
  1. MWOP: Modality-aware Width-wise Operation Pruning for Efficient MLLMs

    Oct 1, 2026Xudong Wang, Hao Wu, Haozhe Hu +5Visual Token PruningLarge Language Model Compression

  2. ARROW: Arbitrary Reconstruction and Tracking of 4D Observations in the Wild

    Oct 1, 2026Ilya Fradlin, Christian Schmidt, Jens Piekenbrinck +33D ReconstructionMulti-Object Tracking

  3. Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks

    Sep 29, 2026Aidin Attar, Eleonora Cicciarella, Michele RossiSpiking Neural NetworksTime-To-First-Spike

  4. Many Eyes, One World: Feed-Forward 3D Reconstruction from Mixed Cameras

    Sep 28, 2026Qiaoge Li, Yifan Zhan, Haijun Yang +3Feed-Forward 3D ReconstructionCamera

  5. DAVIO: Dense Monocular-Inertial SLAM with Feed-Forward Initialization and Pose-Conditioned Mapping

    Sep 23, 2026Jaafar Mahmoud, Arthur Movsesyan, Mikhail Iumanov +1Simultaneous Localization And MappingOdometry

  6. When Wider Views Fail: Stress-Testing Feed-Forward 3D Reconstruction

    Sep 21, 2026Daisy Li, Kyle Gao, Quanyun Wu +3Feed-Forward 3D ReconstructionSparse-View

  7. Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling

    Sep 14, 2026Homayoon Beigi, Grace ConneelyLearning-Based ControlFriction

  8. LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry

    Sep 11, 2026Sankar Behera, Dhruv Singh, Anshika Agnihotri +3Large Language Model CompressionUnstructured Pruning

  9. FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute

    Sep 8, 2026Hongchi Xia, Tianhang Cheng, Wei-Chiu Ma +1Feed-Forward 3D Reconstruction3D Reconstruction

  10. GeoRay: Gauge-Aware Feed-Forward Satellite 3D Reconstruction in the Geodetic Frame

    Aug 30, 2026Zhe Dong, Wanqing Wu, Yuzhe Sun +5Feed-Forward 3D Reconstruction3D Foundation Models

  11. Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks

    Aug 28, 2026Munawar Hasan, Apostol VassilevFeed-ForwardTransformer Architectures

  12. GeoFF3D: Coordinate-Anchored Feed-Forward Reconstruction for Large-Scale UAV Mapping

    Aug 28, 2026Xiang Yang, Yongli Wang, Yunsheng Zhang +3Feed-Forward 3D ReconstructionSimultaneous Localization And Mapping

  13. Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging

    Aug 11, 2026Tim-Felix Faasch, Jochen Kall, Cyrill Stachniss3D GaussianFeed-Forward

  14. DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning

    Aug 10, 2026Mainak Singha, Niccolò Biondi, Elisa Ricci +1Multimodal Continual Instruction TuningMixture-Of-Experts

  15. AdaDINO: Pair-Aware In-Backbone Adaptation of Frozen DINO for Efficient Remote Sensing Change Detection

    Aug 8, 2026Xu Zhang, Xinqing Li, Jianpeng Xie +3Change DetectionRemote Sensing

  16. Geometry-Guided Layerwise FFN Width Allocation in Transformers

    Aug 3, 2026Timur Mudarisov, Mikhail Burtsev, Radu StateBatch NormalizationTransformer Architectures

  17. EntropyMoE: Entropy-Aware Sparse Expert Routing for Tokenizer-Free LLMs

    Jul 31, 2026Bo Liu, Muxuab Yu, Yu Zhang +2ExpertsEntropy

  18. MeshFM: 2D Features Are All You Need for 3D Shape Understanding

    Jul 30, 2026Jinfan Zhou, Richard Liu, Itai Lang +1Shape Correspondence3D Generation

  19. Prox: Training-Free FFN Activation Sparsity via Approximate Intermediate-Channel Salience in LLMs

    Jul 30, 2026Jinyi Liu, Wei Chen, Pengyu Chen +4LLM Inference OptimizationModel Activations

  20. Exact ReLU realization of affine one-dimensional refinement iterates via residual memory and offset frames

    Jul 22, 2026Boldsaikhan Bolorkhuu, Tsogtgerel GantumurAffineRectified Linear Unit

  21. A Controlled Study of Attention-Only Transformers

    Jul 20, 2026Henry Ndubuaku, Karen Mosoyan, Jakub Mroz +5Transformer AttentionTransformer Encoder

  22. How Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA

    Jul 17, 2026Navya Gupta, Bingjie Xu, Avinash Anand +2Visual Grounding BenchmarksMisalignment Persona

  23. Sparse Inter-Layer Dependencies of Transformer FFN Neurons

    Jul 13, 2026Johannes Knittel, Hanspeter PfisterTransformer AttentionFeed-Forward

  24. Backpropagation as a Nilpotent Linear System

    Jul 13, 2026Ahmed BoughammouraBackpropagationBackward Passes

  25. Video Generation Models are General-Purpose Vision Learners

    Jul 10, 2026Letian Wang, Chuhan Zhang, Rishabh Kabra +9Generative Video ModelsVideo Generation

  26. Legible-by-Construction: Attention and End-to-End Transformers

    Jul 5, 2026Mark OskinTransformer ArchitecturesLanguage Modeling

  27. InvSplat: Inverse Feed-Forward Scene Splatting

    Jul 2, 2026Polina Karpikova, Wenjing Bian, Haofei Xu +2Inverse RenderingFeed-Forward 3D Gaussian Splatting

  28. Black-Box Inference of LLM Architectural Properties with Restrictive API Access

    Jul 1, 2026Christopher Ellis, Shreyas Chaudhari, Mei-Yu Wang +3Attacker Large Language ModelLarge Language Model Tool Use

  29. FaceMoE: Mixture of Experts for Low-Resolution Face Recognition

    Jun 30, 2026Kartik Narayan, Vishal M. PatelFace Recognition ModelLow-Resolution

  30. Low-dimensional topology of deep neural networks

    Jun 30, 2026Junyu Ren, Lek-Heng LimFeed-ForwardNeural Network

  31. Nonlinearity-Aware LoRA: Structured Gate Adaptation under Low-Rank Constraints

    Jun 30, 2026Shuai Yuan, Sudong Cai, Bingzhi Chen +4Feed-ForwardScaling Laws

  32. RenderFormer++: Scalable and Physically Grounded Feed-Forward Neural Rendering

    Jun 29, 2026Huangsheng Du, Haoran Zhu, Youcheng Cai +2Neural RenderingVisual Geometry Grounded Transformer

  33. FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image

    Jun 29, 2026Jianqiang Li, Liumei Zhang, Wenjia Guo +53D Reconstruction3D Gaussian

  34. FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images

    Jun 29, 2026Jianjiang Yao, Ke Xian, Renxiang Dai +1Animatable 3D Human AvatarsAvatars

  35. Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes

    Jun 29, 2026Xi Li, Linyuan Li, Yan Wu +43D ReconstructionLocal Camera Pose

  36. Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation

    Jun 25, 2026Anastasis Kratsios, Simone Brugiapaglia, Bum Jun Kim +2Neural ApproximationsApproximation

  37. Beyond Feedforward Networks: Reentry Neural Systems as the Fundamental Basis of Subjecthood and Intrinsic Safety of Next-Generation AGI

    Jun 24, 2026A. S. Ushakov, Yu. N. BerdinskArtificial Intelligence SafetyArtificial Intelligence Systems

  38. FiCA: Feed-forward instant Gaussian Codec Avatars from a Single Portrait Image

    Jun 23, 2026Kim Youwang, Zhengyu Yang, Liuhao Ge +8Animatable 3D Human AvatarsAvatars

  39. Learning Entropy Signature for Image Representation and Classification

    Jun 21, 2026Jan Glaser, Ivo Bukovsky, Noriyasu Homma +1Image ClassificationFeed-Forward

  40. MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences

    Jun 15, 2026Jianqi Chen, Jiraphon Yenphraphai, Xiangjun Tang +4Image RegistrationMeshes

  41. ScaRF-SLAM: Scale-Consistent Reconstruction with Feed-Forward Models and Classical Visual SLAM

    May 29, 2026Yuhao Zhang, Yifu Tao, Frank Dellaert +1Orb-Slam2Simultaneous Localization And Mapping

  42. Reducing Experimental Testing in Space Propulsion Film Cooling Analyses by Pixelwise Generative Image Interpolation

    May 28, 2026Adam T. Müller, Philipp J. Teuffel, Konstantin Manassis +1Thermal ImagingImage Reconstruction

  43. Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data

    May 28, 2026Collin Cranston, Zhichao Wang, Todd Kemp +1Kernel MethodSpectral Decomposition

  44. The Complexity of Verifying Feedforward Neural Networks in Quantised Settings

    May 28, 2026Eric Alsmann, Martin Lange, Marco SälzerNeural Network VerificationQuantum Neural Networks