Separability

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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  1. Nearly Group-Separable Elections

    Sep 27, 2026Piotr Faliszewski, Jan Jabrocki, Stanisław Kaźmierowski +3ElectionsMaximum Independent Set

    AGH University of Krakow, Poland · University of Warsaw, Poland · Charles University, Czechia +3

  2. SPARSER: Sparse Variable Projection by Exploiting Separable Structure in Robotic Perception

    Sep 21, 2026Nikolas R. Sanderson, Andrew Fishberg, Haoyu Han +5Robotic PerceptionSimultaneous Localization And Mapping

    Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI, USA · Institute of Experiential Robotics, Northeastern University, Boston, MA, USA · Aerospace Controls Lab, Massachusetts Institute of Technology, Cambridge, MA, USA +1

  3. TRIPROBE: Probing Task Separability Beyond Classification for XAI

    Sep 16, 2026Amirhossein Sadough, Freek Hens, Aleksa Bokšan +2XaiSeparability

    Machine Learning and Neural Computing Radboud University Nijmegen, Netherlands · Delft University of Technology Delft, Netherlands · Unconventional Computing Lab University of the West of England (UWE) Bristol, United Kingdom

  4. A Systematic Evaluation of the COTQ Provincial Land Cover Product: Structural Consistency, Spectral Separability, and Relative Positioning Against ESA, ESRI, and Google Products

    Sep 15, 2026Étienne Clabaut, Samuel Foucher, Yacine BouroubiLand CoverSentinel-2

    Département de Géomatique Appliquée, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada

  5. Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

    Sep 11, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1ClusteringCluster

    School of Computer and Communication Sciences ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL) Lausanne, 1015, Switzerland · LAMA, UMR-CNRS 8050, Universit´e Gustave Eiffel 5 Bd Descartes, 77454 Marne-la-Vall´ee, France

  6. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Sep 10, 2026Haoming Wang, Ming YuanTensor DecompositionIdentifiability

    Columbia University

  7. Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise

    Sep 8, 2026Sushovan MajhiSeparabilityNeural Representations

    Data Science Program, George Washington University, Washington, D.C., USA.

  8. Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework

    Aug 31, 2026Zhanbo Zhang, Ming Liu, Qing WangMemorizationTopology

    Anhui iFlytek Yinglian Technology Co., Ltd.

  9. Every Layer Counts: An Exponential L2L_2 Depth Hierarchy for ReLU Networks

    Aug 24, 2026Itay SafranRectified Linear Unit NetworksRectified Linear Unit

    Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev

  10. Excess Separability: Nuisance-Controlled Residual-Stream Probing for Benchmark Contamination Detection

    Aug 12, 2026Florian BraunTamper LocalizationModel Auditing

  11. Separating quantum circuits from classical LLMs

    Aug 4, 2026Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1Quantum CircuitsLarge Language Model Quantization

    IBM Research

  12. Exploiting Separability in Multi-Scale Grey-Box Bayesian Optimization

    Aug 4, 2026Joshua E. Hammond, Tyler A. Soderstrom, Brian A. Korgel +1Black-Box OptimizationBayesian Optimization

    McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keaton St. Stop C0400, Austin, Texas 78712, USA · ExxonMobil Technology and Engineering, 22777 Springwoods Village Pkwy, Spring, Texas 77389, USA · Energy Institute, The University of Texas at Austin, 2304 Whitis Ave. Stop C2400, Austin, Texas 78712, USA +1

  13. Measuring Explainer Stability via Attribution Separability

    Aug 3, 2026Eddie Conti, Álvaro Parafita, Axel BrandoExplainabilityBlack Box

    Barcelona Supercomputing Center, Barcelona, Spain

  14. Cheap Probes Predict Expensive Training in 3D-CT Vision--Language Models

    Jul 24, 2026Renjie LiangFrozen EncoderSeparability

    University of Florida, Gainesville, FL, USA

  15. An Iterative Geometric Approach to Optimizing Separating Hyperplanes

    Jul 19, 2026Akos HajnalSupport Vector MachinesConvex Optimization

    Laboratory of Parallel and Distributed Systems Institute for Computer Science and Control (SZTAKI) · John von Neumann Faculty of Informatics Obuda University Budapest, Hungary

  16. Separation Capacity of Scattering Networks on Low-Dimensional Datasets

    Jul 7, 2026Konstantin Häberle, Helmut BölcskeiIntrinsic DimensionalitySeparability

    ETH Zurich

  17. Stability Annealing Selects the Implicit Bias of Smoothed Sign Descent: A Rate-Indexed Barrier Path on Separable Data

    Jul 7, 2026Xiangwu Wang, Chengwei Cao, Yicheng Song +2Mirror DescentAnnealing

    1The University of Hong Kong · University of California, San Diego · 3Beijing University of Aeronautics and Astronautics

  18. Fast, Parallel, Query-Efficient Binary Classification

    Jul 5, 2026Ishani Karmarkar, Liam O'Carroll, Aaron SidfordSeparabilityHigh-Dimensional

    Stanford University

  19. Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability

    Jun 19, 2026Mathieu Cyrille Simon, Pascal Frossard, Christophe De VleeschouwerIdentifiabilityOrthogonality

    1UCLouvain, ICTEAM, Louvain-la-Neuve, Belgium · 2EPFL, LTS4 laboratory, Lausanne, Switzerland.

  20. When Language Representations Interact: Separability and Cross-Lingual Effects in LLMs

    Jun 12, 2026Boris Marinov, Angira Sharma, Christian Schroeder de Witt +3Cross-Lingual ConsistencyMultilingual Language Models

    1UCL · University of Oxford

  21. JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

    Jun 11, 2026Tong Wu, Zhiyong Chen, Guo Lu +4Source-Channel CodingRate-Distortion Theory

    Cooperative Medianet Innovation Center, the School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

  22. Directional Linear Separability of Neural Representations: Geometry and Transformations

    Jun 7, 2026Yi Wei, Xuan Qi, Suorong Yang +1SeparabilityNeural Representations

    DITEN University of Genoa, Genoa, Italy · State Key Laboratory of Novel Software Technology School of Artificial Intelligence Nanjing University, Jiangsu, China

  23. Beyond Additive Decompositions: Interpretability Through Separability

    May 29, 2026Jinyang Liu, Munir Eberhardt HiabuShapley Additive ExplanationsInterpretability

    Department of Mathematical Sciences, University of Copenhagen, Denmark.

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

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

    Department of Mathematics University of California, San Diego, USA · ICSI and Department of Statistics University of California, Berkeley, USA · ICSI, LBNL and Department of Statistics University of California, Berkeley, USA

  25. Clinically-Grounded Counterfactual Reasoning for Medical Video Diagnosis

    May 26, 2026Jianzhe Gao, Churan Wang, Weiyi Zhang +5Medical Visual Question AnsweringDiagnosis

  26. Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models

    May 25, 2026Yiwei Xie, Ping Liu, Zheng ZhangText-To-Video Diffusion ModelsConcept Erasure

    The School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China · Department of Computer Science and Engineering, University of Nevada, Reno, NV, USA.

  27. Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts

    May 20, 2026Gene Tangtartharakul, Katherine R. StorrsMixture-Of-Experts ArchitecturesMixture-Of-Experts

    School of Psychology · University of Auckland · Auckland, New Zealand

  28. SAS: Semantic-aware Sampling for Generative Dataset Distillation

    May 18, 2026Mingzhuo Li, Guang Li, Linfeng Ye +4Diffusion-Based Dataset DistillationDataset Distillation

    Hokkaido University, N-14, W-9, Kita-Ku, Sapporo, 060-0814, Japan · University of Toronto, 27 King’s College Circle, Toronto, Ontario M5S 1A1, Canada · The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan

  29. Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

    May 14, 2026Tawsik Jawad, Gowtham Atluri, Vikram RavindraSmall-Sample Electroencephalogram DatasetsSpectral Features

    University of Cincinnati, Cincinnati, OH, USA

  30. Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning

    May 13, 2026Yu Gu, Zijun Yu, Vahid Partovi Nia +1Chain-of-Thought ReasoningSelf-Consistency

    Department of Mathematics and Statistics McGill University Montréal, QC, Canada · Department of Mathematics and Industrial Engineering Polytechnique de Montréal Montréal, QC, Canada

  31. FedHPro: Federated Hyper-Prototype Learning via Gradient Matching

    May 13, 2026Huan Wang, Jun Shen, Haoran Li +6Heterogeneous Federated LearningFederated Learning

    School of Computing and Information Technology, University of Wollongong, Wollongong, Australia · School of Computing and Information Systems, Singapore Management University, Singapore, Singapore · Monash University, Australia +3

  32. A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning

    May 5, 2026Alexandre L. M. LevadaGeometric Machine LearningUnsupervised

    Federal University of São Carlos 13565-905, São Carlos-SP, Brazil

  33. Relocation of compact sets in Rn\mathbb{R}^n by diffeomorphisms and linear separability of datasets in Rn\mathbb{R}^n

    Apr 23, 2026Xiao-Song Yang, Xuan Zhou, Qi ZhouSeparabilityHuman Relocalization

    School of Mathematics and Statistics, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074 Wuhan, P.R. China · Hubei Key Laboratory of Engineering Modeling and Scientific Computing, Huazhong University of Science and Technology, Wuhan 430074, P.R. China

  34. What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity

    Apr 17, 2026Laura Alonso Bartolomé, Jean-Loup Faulon, Xavier HinautBacterial Colony CountingReservoir Computing

    MICALIS, Mnemosyne · University Paris Saclay, INRAE, AgroParisTech, MICALIS Institute, 78350 Jouy-en-Josas, France · Centre Inria de l’Universit´e de Bordeaux, France +4

  35. Separation-Utility Pareto Frontier: An Information-Theoretic Characterization

    Feb 4, 2026Shizhou XuSeparabilityPrivacy-Utility Trade-Offs

    Department of Mathematics University of California Davis Davis, CA 95616, USA

  36. The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning

    Dec 20, 2025Xin LiReplay-Based Continual LearningPlasticity

    Department of Computer Science University at Albany Albany, NY 12222

  37. Phantom-Insight: Adaptive Multi-cue Fusion for Video Camouflaged Object Detection with Multimodal LLM

    Sep 8, 2025Hua Zhang, Changjiang LuoCamouflaged Object DetectionVideo Object Segmentation

    Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences

  38. Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

    Jun 7, 2024Si Yi Meng, Antonio Orvieto, Daniel Yiming Cao +1Step AccuracyGradient Descent

    Department of Computer Science Cornell University Ithaca, NY, USA · ELLIS Institute Tübingen MPI for Intelligent Systems Tübingen AI Center, Germany

  39. Semidefinite programming relaxations and debiasing for MAXCUT-based clustering

    Jan 16, 2024Shuheng ZhouConvex RelaxationMaximum Independent Set

    University of California, Riverside, CA 92521