Decomposition

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19 papers in the last four weeks, up 19% on the four weeks before. 0.2% of all new papers.

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  1. EvenSplat: Coupled 2D-3D Decomposition for Gaussian Splatting under Exposure and Illumination Variation

    Oct 1, 2026Tongyu Wu, Jacob Edwards, Ziteng Cui +2Gaussian SplattingIllumination Variations

    Xi’an Jiaotong University · University of East Anglia · University of Tokyo

  2. Rethinking the Information Bottleneck: Structured Decomposition under Label-Induced Partitions

    Oct 1, 2026Jingyao Zhang, Yuxuan Li, Lu Han +2Information BottleneckRepresentation Learning

    School of Computer Science, The University of Sydney Sydney, NSW 2006, Australia

  3. Learning the identity: a case study of how SGD selects among functional decompositions

    Sep 30, 2026Andy Arditi, Weian Xie, David Bau +1Stochastic Gradient DescentAnisotropic Loss Landscapes

    Northeastern University · Massachusetts Institute of Technology

  4. Heteroskedastic Canonical Polyadic Tensor Decomposition

    Sep 30, 2026Kyle Ritscher, Carlos Llosa-ViteTensor DecompositionLow-Rank Structure

    Computer Science Research Institute, Sandia National Laboratories, Albuquerque, NM · Department of Statistics & Data Science, University of California, Los Angeles, CA

  5. Identifiable Decomposition of Submovements in Human Hand Trajectories

    Sep 30, 2026Adrian Prados, James Hermus, Ramon Barber +1Imitation LearningDecomposition

    Universidad Carlos III de Madrid, Leganes, Spain · Idiap Research Institute, Martigny, Switzerland · Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland

  6. D-Scope: Decomposing and Steering Diffusion Transformers with Sparse Autoencoders

    Sep 30, 2026Xinyue Xu, Jiahao Zhang, Lijie Hu +2Diffusion TransformersDiffusion Models

    Pivotal Research · Mohamed bin Zayed University of Artificial Intelligence · Schmidt Sciences +2

  7. Structural Limits of the Information-Theoretic Uncertainty Decomposition

    Sep 30, 2026Jakob Lønborg Christensen, Christian F. Baumgartner, Morten Rieger Hannemose +2Dynamic Epistemic LogicUncertainty

    DTU Compute Technical University of Denmark · Faculty of Health Sciences and Medicine University of Lucerne

  8. Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach

    Sep 30, 2026Yuxuan Han, Xiaoyu Fan, Jiawei Zhang +1Inventory ControlDecomposition

    Stern School of Business, New York University

  9. DecoMoE: Decoupling Visual Propagation and Expert Computation for Efficient Multimodal MoE Inference

    Sep 30, 2026Xudong Tan, Peng Ye, Ming Xie +4Mixture-Of-Expert InferenceMixture-Of-Experts

    Fudan University · The Chinese University of Hong Kong

  10. Multi-Granularity Language-Guided Imitation Learning via Instruction Decomposition

    Sep 29, 2026Yi-Pei Chiu, Wei-Ta ChuImitation LearningDecomposition

    National Cheng Kung University, Taiwan

  11. AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

    Sep 28, 2026Zhenyu Lei, Chenghao Liu, Yushun Dong +2Spatio-Temporal ForecastingTemporal Dynamics

    University of Virginia Charlottesville, VA, USA · Datadog Paris, France · Florida State University Tallahassee, FL, USA +1

  12. How code helps different tasks? A decompositional lens on LLM post-training

    Sep 27, 2026Zheng Yu, Yiwei Li, Yishen Chen +4Instruction-Tuned ModelsPost-Training

    Sun Yat-sen University · Shenzhen Loop Area Institute · The Chinese University of Hong Kong, Shenzhen +1

  13. DrafTS: Time-Aware Decomposition with Residual Correction for Time Series Modeling

    Sep 27, 2026Yiqiu Liu, Siru Zhong, Zhiguang Wang +2Time SeriesTemporal Dynamics

    The Hong Kong University of Science and Technology (Guangzhou), China · Abel AI Lab, USA · Squirrel Ai Learning, USA

  14. Functional dynamic mode decomposition: Learning infinite-dimensional systems from data

    Sep 24, 2026Stefan Klus, Eirini IoannouDynamic Mode DecompositionDynamical Systems

    School of Mathematical & Computer Sciences, Heriot–Watt University, Edinburgh, UK · Maxwell Institute for Mathematical Sciences, University of Edinburgh and Heriot–Watt University, Edinburgh, UK

  15. CODA: Depth-Aligned Scene Completion and Object Decomposition from a Single RGB-D Image

    Sep 22, 2026Dongwon Son, Junhyek Han, Yoontae Cho +5Rgb-Depth CamerasCompletion

    KAIST · Samsung Heavy Industries Co., Ltd.

  16. Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition

    Sep 20, 2026Hang-Cheng Dong, Pengcheng ChengNeural OperatorsOut-Of-Distribution

    School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China · School of Mathematics, Jilin University, Changchun 130012, China

  17. Refuse, Decompose, Refresh: A Claim-Safe Protocol for Closed-Loop AI Evaluation

    Sep 17, 2026Peiying Zhu, Sidi ChangArtificial Intelligence EvaluationAdmissibility

    Blossom AI San Francisco, CA, USA

  18. Perception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents

    Sep 17, 2026Yichao Jin, Yushuo Wang, Yuxuan Han +7ValidationLarge Language Model Reliability

    OCBC, Singapore

  19. NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections

    Sep 15, 2026Alexander Caicedo, Víctor De La Hoz, Santiago AlférezNeural NetworkSubspace

    Department of Electronic Engineering, Pontificia Universidad Javeriana, Bogot´a, Colombia · Pontificia Universidad Javeriana, Bogot´a, Colombia · Department of Mathematics, Universitat Polit`ecnica de Catalunya, Barcelona, Spain

  20. A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning

    Sep 15, 2026Zhongdi Qu, Carla P. GomesMath ProblemsLLM Reasoning Strategies

    Cornell University

  21. Decomposition Buys Integrity, Not Yield

    Sep 15, 2026Rong HeDelegationDecomposition

  22. MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training

    Sep 14, 2026Keunyoung Kim, Nojun KwakLarge Language Model PretrainingTransformer Architectures

    Seoul National University

  23. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Sep 10, 2026Haoming Wang, Ming YuanTensor DecompositionIdentifiability

    Columbia University

  24. A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

    Sep 10, 2026Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +1DecompositionElectricity Price Forecasting

    Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany · Faculty of Mathematics and Computer Science, University of Bremen, Germany

  25. Diarization Error Decomposition Under Pause Annotation Ambiguity

    Sep 10, 2026Shota Horiguchi, Marc Delcroix, Naohiro Tawara +1Speaker DiarizationAmbiguity

    NTT, Inc., Japan

  26. ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback

    Sep 8, 2026Min Zeng, Yuzhou Liu, Zhenyu Cao +5LoopDecomposition

    vivo AI Lab

  27. Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM

    Sep 7, 2026Xinyu Li, Ruoming Jin, Jianfeng Zhu +2Large Language Model PersonalizationPersonalization

    Department of Computer Science, Kent State University · iLambda Inc.

  28. Planning and Scheduling Business Processes under Control-Flow Uncertainty: Extended Version

    Sep 4, 2026Michel Kunkler, Stefanie Rinderle-MaJob Shop SchedulingSchedule

    Technical University of Munich, Germany TUM School of Computation, Information, and Technology

  29. Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes

    Sep 3, 2026Revathy Venkataramanan, Aditya Luthra, Venkatesan Nadimuthu +1DietDiabetes

    AI Institute, University of South Carolina 1112 Greene Street, Columbia, SC 29201 USA

  30. ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting

    Aug 31, 2026Minhas Kamal, Hiranya Garbha Kumar, Mahedi Kamal +1Scene ReconstructionNovel View Synthesis

    State University of New York at Albany, USA

  31. A Globally Convergent Algorithm for Total Scaled-Gradient Variation via Cone-Constrained Bilinear Decomposition

    Aug 29, 2026Haibin Su, Chunlin Wu, Huibin Chang +1Image RestorationConvergence

    Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China · School of Mathematical Sciences, Nankai University, Tianjin, 300071, China · School of Mathematical Sciences and Institute of Mathematics and Interdisciplinary Sciences, Tianjin Normal University, Tianjin, 300387, China

  32. SCULPT: Subtractive Composition for 3D Part Generation

    Aug 13, 2026Sikuang Li, Chen Yang, Jiemin Fang +53D ModelsArt

    Shanghai Jiao Tong University · This work was done during an internship at Huawei. · Huawei

  33. Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering

    Aug 13, 2026Yilin Wang, Yuchun Fan, Weidong Bao +5Cross-Lingual ConsistencyTranslation Quality

    School of Computer Science and Engineering, Northeastern University, Shenyang, China · Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China

  34. DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

    Aug 13, 2026Amogh Joshi, Animesh Mukherjee, Sergey UtyuzhnikovDecompositionDynamic Mode Decomposition

    IIT Kharagpur, India · University of Manchester, UK

  35. Decomposition of Evidence, Contradiction, and Fragility in Perturbation Responses

    Aug 13, 2026Lei YouFragilityContradiction

    Technical University of Denmark

  36. When Visual Signals Mislead: A Mechanistic Study of Attribute Hallucination in Vision-Language Models

    Aug 11, 2026Yufei Zhang, Chenlu Zhan, Hongwei WangObject HallucinationRemediation

    Zhejiang University

  37. Decomposition-Induced Context-Memory Conflict: When Fact-Checking Pipelines Contradict Their Own Source Text

    Aug 11, 2026Yu-Feng YenFact-CheckingDecomposition

    Independent Researcher

  38. Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability

    Aug 10, 2026Ashim Dhor, Pin-Yu ChenMechanistic InterpretabilityInterpretability

    1IISER Bhopal · 2IBM Research

  39. Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds

    Aug 10, 2026Shiting Gong, Jianpeng Yao, Jinfeng Wang +2Safety ConstraintsPedestrian

    University of Pennsylvania, PA, USA · University of California, Riverside, CA, USA · 3Stanford University, CA, USA +2

  40. Efficient Real-World Online Reinforcement Learning for Robot Manipulation via Centralized Training and Critic Decomposition

    Aug 10, 2026Changhao Li, Yifang Zhang, Heng Zhang +6Robotic Manipulation PoliciesRobotic Manipulation

    HHCM, Istituto Italiano di Tecnologia, Genoa, Italy · DIBRIS, University of Genova, Genova, Italy · Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genova, Italy +1

  41. A Grounded and Decomposed Framework for Relation-Level Hallucination Evaluation in Abstractive Summarization

    Aug 8, 2026Praveen Kumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala +1Citation Hallucination DetectionSummarization

    Dept. of CSE IIIT Bhubaneswar Bhubaneswar, Odisha, India · Informatica Bengaluru, Karnataka, India · TEKsystems Global Services Bengaluru, Karnataka, India

  42. 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

  43. OrchestraBench: Evaluating Multi-Agent Orchestration Failure Modes, Recovery, and Decomposition Quality

    Aug 5, 2026Yidian Chen, Yingzi Gu, Natan Vidra +2Multi-Agent OrchestrationOrchestration

    Anote

  44. D2^2F-ReAG: Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented Generation

    Aug 5, 2026Jiaoyang Li, Junhao Ruan, Shengwei Tang +4Multi-Hop ReasoningSearch-Augmented Reasoning

    Northeastern University, Shenyang, China · Kunming University of Science and Technology, Kunming, China · NiuTrans Research, Shenyang, China

  45. GORDON: Graph-based Object-centric Rewards for Decomposition of Long-Horizon Manipulation

    Aug 4, 2026Andrea Protopapa, Davide Buoso, Francesca Pistilli +2Robotic Manipulation PoliciesLong-Horizon Manipulation

    Politecnico di Torino, Turin, Italy. · Interactive Robot Perception & Learning (PEARL) Lab, Computer Science Dept., TU Darmstadt, Germany. · Hessian.AI, Darmstadt, Germany. +1

  46. Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer

    Aug 4, 2026Janis Zenkner, Tobias Sesterhenn, Tim Grams +1Functional Code SolversDecomposition

    Clausthal University of Technology Clausthal-Zellerfeld, Germany

  47. PROGRESS: Coverage-guided RL to Train Search-augmented LLM Agent

    Aug 2, 2026Sudipta Paul, Vijay Srinivasan, Vivek Kulkarni +4Search-Augmented ReasoningDecomposition

    AI Center-Mountain View, Samsung Electronics

  48. Explicit Layer Modeling for Video Object Insertion and Video Layer Decomposition

    Jul 28, 2026Kyujin Han, Seungjoo Shin, Sunghyun ChoLayer-WiseDecomposition

    POSTECH, Republic of Korea

  49. Subjective Risk Decomposition: A New View for Uncertainty Quantification

    Jul 16, 2026Raghad Alamri, Michele Caprio, Gavin BrownUncertainty QuantificationUncertainty

    Department of Computer Science, The University of Manchester · Department of Computer Science, University of Warwick

  50. Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition

    Jul 16, 2026Linyun Xiang, Mark Neerincx, Stephanie TanSummarizationConversational Datasets

    Department of Intelligent Systems, Delft University of Technology

  51. Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI Coordination

    Jul 16, 2026Remo PareschiAbductive ReasoningCausal

    Stake Lab, University of Molise, Italy

  52. Where Does the Noise Come From? A Variance-Components Decomposition of Non-Determinism in LLM Brand Answers

    Jul 14, 2026Dmitrij ŻatuchinLarge Language Model ReliabilityBrand-As-Memory

    Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Wroclaw, Poland; Tallinn, Estonia.

  53. Open-KNEAD: Knowledge-grounded Nutrition Estimation via Agentic Decomposition

    Jul 14, 2026Bruce Coburn, Jingbo Yue, Jinge Ma +3DietMultimodal Large Language Models

    Purdue University, USA

  54. Decomposing Runtime, Kernel, and Quantization Speedups via a Matched FP16 Intermediate: A Hardware-Conditioned Case Study on Four NVIDIA RTX A5000 GPUs

    Jul 13, 2026Weijia Han, Lisha QuMatched Fp16 IntermediateQuantized

    University of Washington

  55. modelDNA: Calibrated Lineage Verification and Merge Decomposition from Sampled Weight Fingerprints

    Jul 12, 2026Muhammad Awais Bin Adil, Saad AamirLineagesFingerprint

    Independent

  56. Decomposition for Bayesian Networks: Local and Parallel Inference

    Jul 6, 2026Pei Heng, Xinyi Hu, Yi SunBayesian NetworksProbabilistic Inference

    Institute of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi, China

  57. A Policy Decomposition Framework for Dynamic Order Fulfillment Operations

    Jul 4, 2026Gal Neria, Michal Tzur, Marlin W. UlmerLogisticsSupply Chain Optimization

    Massachusetts Institute of Technology, Cambridge, 02139, MA, USA · School of Industrial and Intelligent Systems Engineering, Tel Aviv University, Tel Aviv, 6997801, Israel · Otto-von-Guericke Universitat Magdeburg, Magdeburg, Germany

  58. Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +2Latent MotionLatent Dynamics

    Beijing Jiaotong University, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, China

  59. Measuring Dead Directions: Decomposing and Classifying Singular Structure off Canonical Alignment

    Jul 1, 2026Tejas Pradeep ShirodkarDecompositionOrder

    IIIT, Hyderabad

  60. Decompose, Compare, and Decide: Multimodal LLMs are Implicit Few-Shot Learners

    Jun 30, 2026Yunhan Wang, Eshika Khandelwal, Edson Araujo +3Few-Shot LearningImage Classification

    Tuebingen AI Center, University of Tuebingen, Germany