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5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Lower Bounds for Linear-Oracle Online Learning

    Sep 29, 2026Mohit Sinha\Widetilde{\Mathcal{O}}(\Sqrt{T})$ RegretLower Bounds

  2. Multitask Regression with Pairwise Fusion

    Sep 23, 2026Xiaodong Li, Zhentao LiCoefficientsCollaborative Fusion

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

  3. Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks

    Sep 17, 2026Cheng Jing, Abhishek Verma, Kallol Bera +2Parametric Physics-Informed Neural NetworkNeural Solvers

    Arizona State University · Applied Materials Inc.

  4. Transforming harmonic coefficients for 3D splat compression

    Sep 14, 2026Tam Thuc Do, Philip A. Chou, Gene CheungData Compression MethodsCoefficients

    †York University, Canada · ⋆packet.media

  5. Low-Rank Prompt Learning for Vision-Language Models with Fixed-Token Bases

    Sep 8, 2026Tanvir Muntakim Tonoy, Sajjad Ghiasvand, Mahnoosh Alizadeh +1Multiple Prompt Learning FrameworksContrastive Language-Image Pre-Training Model

    Department of Electrical and Computer Engineering UC Santa Barbara Santa Barbara, CA 93106, USA

  6. Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial

    Jul 20, 2026Tiago Closs, Leandro FarinaCoefficientsPolynomials

    Institute of Informatics, Federal University of Rio Grande do Sul, Avenida Bento Gon¸calves 9500, Porto Alegre, RS, Brazil · Institute of Mathematics and Statistics, Federal University of Rio Grande do Sul, Avenida Bento Gon¸calves 9500, Porto Alegre, RS, Brazil

  7. Chebyshev Manifold Adaptation

    Jul 19, 2026Jiawen LiParameter-Efficient AdaptationApproximation

    School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

  8. A zero-one law for one-shot system identification

    Jul 17, 2026Nicolas Boullé, Diana Halikias, Samuel E. Otto +1System IdentificationCoefficients

    Department of Mathematics, Imperial College London, London, SW7 2AZ, UK · Courant Institute, New York University, New York, NY 10012, USA · Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA +1

  9. Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients

    Jun 23, 2026Yizhou Liu, Jeff GoreScaling LawsExponents

    Massachusetts Institute of Technology Cambridge, MA 02139

  10. A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients

    Jun 23, 2026Yanwei Jia, Du Ouyang, Huyên Pham +1Partial Differential EquationsNonlinear Operators

    Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin, New Territories, Hong Kong SAR · Department of Mathematical Sciences Tsinghua University Beijing, Beijing 100084, China · CMAP Ecole Polytechnique Route de Saclay, Palaiseau 91128, France +1

  11. Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices

    Jun 22, 2026Changxiao Cai, Yuchen Jiao, Gen LiDiffusion SamplingLow-Dimensional Structure

    Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA · Department of Statistics and Data Science, Chinese University of Hong Kong, Hong Kong

  12. Doeblin Curves

    Jun 18, 2026Dongmin Lee, William Lu, Anuran Makur +1CurvesCoefficients

    Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA · Department of Computer Science and the Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA · Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

  13. Limits of spectral learning under noise

    Jun 11, 2026Sabin Roman, Ljupco Todorovski, Saso Dzeroski +2Noisy LabelsCoefficients

    Jožef Stefan Institute, Ljubljana, Slovenia · Faculty of Mathematics and Physics, University of Ljubljana, Slovenia · Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Catalonia +2

  14. Learning Temporal Causal Structure via Smooth Differentiable Optimization

    Jun 2, 2026Tong Zhao, Ce Guo, Wayne Luk +2Causal Discovery MethodsAutoregressive Model

  15. Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment

    Jun 1, 2026Ashwin Singh, Carlos CastilloLogistic RegressionRisk

    TU Wien, Vienna, Austria · ICREA and Universitat Pompeu Fabra, Barcelona, Spain

  16. Data-driven sparse identification of governing PDEs via knockoff filters and multi-criteria trade-offs

    May 26, 2026Pongpisit Thanasutives, Naichang Ke, Yoshinobu KawaharaPartial Differential EquationsFalse Discovery Rate

    1RIKEN Center for Advanced Intelligence Project (AIP) · 2The University of Osaka

  17. IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients

    May 24, 2026Shan Zhong, George BirosFourier Neural OperatorsAlgebraic Multigrid

    Oden Institute for Computational Science and Engineering, The University of Texas at Austin, 201 E 24th St, Austin, 78712, TX, USA · Walker Department of Mechanical Engineering, The University of Texas at Austin, 3012026 E Dean Keeton St, Austin, 78712, TX, USA

  18. Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

    Apr 20, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeCausal Discovery MethodsCausal

    Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1

  19. Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms

    Apr 20, 2026Zhenhua Dang, Lei Zhang, Long Wang +1CoefficientsSystem Identification

  20. Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing

    Apr 18, 2026Samrendra Roy, Syed Bahauddin AlamSystem IdentificationNonlinear Dynamics

    Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign Urbana, IL, USA · Department of Nuclear, Plasma, and Radiological Engineering University of Illinois at Urbana-Champaign National Center for Supercomputing Applications Urbana, IL, USA

  21. Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery

    Apr 17, 2026Andrew KirulutaBasis FunctionsUnsupervised Dictionary Learning

    UC Berkeley, CA

  22. The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery

    Mar 14, 2026Haoyu He, Hao Wang, Jiashan Wang +1SparsityRegularization

    School of Information Science and Technology, ShanghaiTech University, Shanghai, China · Department of Mathematics, University of Washington, Seattle, WA, USA · School of Computer Science and Engineering, Sun Yat-sen University

  23. Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations

    Dec 15, 2021Carlo Marcati, Christoph SchwabNeural ApproximationsCoefficients

    Seminar for Applied Mathematics, ETH Zurich, Switzerland