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6 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. SplineWAM: Adaptive Action Horizons for World Action Models via B-Spline Representations

    Sep 30, 2026Jun Guo, Xiaoshen Han, Qiwei Li +7Action ChunksWorld Models

    Tsinghua University · Xiaomi Robotics · Shanghai Jiao Tong University +2

  2. Weighted Spline-Expanded Networks with Distributional Balancing for Continuous Treatment Effects

    Sep 27, 2026Shucheng Liu, Chan Park, Guanhua ChenHeterogeneous Treatment EffectsCovariate Balancing

    University of North Carolina at Chapel Hill · University of Illinois Urbana-Champaign · University of Wisconsin–Madison

  3. Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging

    Sep 15, 2026Naveen MysoreSpatiotemporal FieldsSplines

    University of California, Santa Barbara · Dyssonance AI

  4. Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks

    Sep 14, 2026Masoud Ataei, Mohammad Javad Khojasteh, Vikas DhimanKolmogorov-Arnold NetworksSplines

    Electrical and Computer Engg. University of Maine Orono, ME, USA · Electrical and Microelectronic Engg. Rochester Institute of Technology Rochester, NY, USA

  5. LieSpline-DP: Lie-Group B-Spline Diffusion Policy for Smooth Robot Manipulation

    Sep 14, 2026Erxuan Xie, Bang Liu, Pingyun Nie +3Robotic ManipulationDiffusion Policies

    Shanghai Jiao Tong University

  6. Language-Augmented Semantic Priors for B-Spline Surface Fitting

    Sep 12, 2026Yunzhong Lou, Yusheng Luo, Jiahao Li +2SplinesShape Optimization

    College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China

  7. Equilibria for Networks of Linear Translational Springs

    Sep 2, 2026Luke Oeding, Ethan Clayton, Jackson Elsea +2SplinesEquilibrium

    Auburn University, Department of Mathematics and Statistics, Auburn, AL, USA · New York University, Courant Institute of Mathematical Sciences, New York, NY, USA · Air Force Research Laboratory, Eglin Air Force Base, Florida, USA

  8. InKAN: B-Spline KANs via Truncated Power Form

    Sep 2, 2026Naveen MysoreKolmogorov-Arnold NetworksSplines

  9. HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks

    Aug 12, 2026Zhao Su, Yuxin Xia, Haoran Li +4Kolmogorov-Arnold NetworksHyperbolic Learning

    School of Information Science and Engineering, Lanzhou University · Department of Data Science and AI, Monash University · School of Computing and Information Technology, University of Wollongong +1

  10. Staying True to the Origin: Continuous Image Stylization with Smooth Transitions

    Aug 8, 2026Rui Xu, Hanmo Zhang, Songhua LiuStylizationDiffusion-Based Image Editing

    Shanghai Jiao Tong University

  11. Field Codes for Distributed Coupling Samplers and Certified Empirical Transport

    Jul 29, 2026Hung Mai, Hai Nguyen, Luong Doan +4Optimal Transport ApproachAccelerated Sampling

    1B0Labs, N2TP Technology · 3Nanyang Technological University · 4Phenikaa University, Vietnam

  12. Spline-Based Boundary Representations for Sparse View Reconstruction and Simulation Using Isogeometric Analysis

    Jul 28, 2026Davor Dobrota, Vsevolod Skorokhodov, Chenghao Xu +2SplinesFinite Element Method

    Schindler Lab EPFL, Schindler AG, EPFL Innovation Park, Lausanne, 1015, Vaud, Switzerland. · Chair of Numerical Modelling and Simulation, ´Ecole polytechnique f´ed´erale de Lausanne, Station 8, Lausanne, 1015, Vaud, Switzerland. · Intelligent Maintenance and Operating Systems Lab, ´Ecole polytechnique f´ed´erale de Lausanne, Station 18, Lausanne, 1015, Vaud, Switzerland.

  13. Smooth Neural Point Processes via B-Splines

    Jul 23, 2026Michele Bellomo, Riccardo Ramaschi, Alberto Dolara +1Determinantal Point ProcessSplines

    Politecnico di Milano Milan, Italy · University College London London, UK

  14. Automatic knot selection in smooth additive models

    Jul 23, 2026Nicolás Carrizosa, Vanesa Guerrero, María DurbánSplinesGeneralized Linear Model

    Department of Statistics, Operations Research and Mathematics Education, Universidad de Oviedo · Department of Statistics, Universidad Carlos III de Madrid

  15. Trainable Spline Representations for Physics-Informed Learning

    Jul 17, 2026Giovanni Canali, Nicola Demo, Gianluigi RozzaParametric Physics-Informed Neural NetworkPhysics-Informed Learning

    Mathematics Area, mathLab, SISSA, via Bonomea 265, I-34136, Trieste, Italy · FAST Computing Srl, via Mazzini 20, I-34136, Trieste, Italy

  16. Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept

    Jul 15, 2026Christian Wittke, Stephan Myschik, Oliver NiggemannQuadrotorInverse Dynamics

    Computer Science in Mechanical Engineering, Helmut Schmidt University, Hamburg, Germany. · Institute for Aeronautical Engineering, University of the Bundeswehr Munich, Bavaria, Germany

  17. B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations

    Jul 10, 2026Xiaoshen Han, Haoyu Xiong, Haonan Chen +4Robotic Manipulation PoliciesSplines

    1Harvard · 2MIT · 3UT Austin

  18. SplineNet: An Isogeometric Deep Learning Method for Complex Shells

    Jul 7, 2026Shizhou Luo, Xiaodong WeiGeometric Deep LearningSplines

    Global College, Shanghai Jiao Tong University, Shanghai, 200240, China.

  19. Efficient Temporal Point Processes via Monotone Alternating Splines

    Jul 2, 2026Cheng Wan, Quyu Kong, Feng ZhouDeterminantal Point ProcessSplines

    Hong Kong University of Science and Technology, Hong Kong · Alibaba Cloud, Hangzhou, China · Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China

  20. NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphics

    Jun 30, 2026Jingye Qiu, Shizhe ZhouDifferentiable RenderingSplines

    Hunan University, Changsha, China

  21. Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution

    Jun 25, 2026Haofei Song, Siyuan Xu, Xintian Mao +3Generative Super-ResolutionSlices

    Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China

  22. Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression

    Jun 22, 2026Yong Yi Bay, Kathleen A. YearickKernel Ridge RegressionGeneral Grid Search Framework

    PhD, University of Illinois at Urbana-Champaign

  23. Curvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration

    Jun 21, 2026Manveen Kaur, Rajmeet Singh, Saeed Mozaffri +1Robust Geometric Model EstimationRgb-Depth Cameras

    Department of Mechanical Engineering University of Windsor Windsor, ON N9B 3P4, Canada · Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, UAE

  24. Arc-Length Parameterized Interpolating Splines

    Jun 19, 2026Dafna K. Matsegora, Stephen M. WattSplinesGeodesic

    Cheriton School of Computer Science, University of Waterloo Waterloo, Ontario, Canada N2L 3G1

  25. Spline Policy: A Structured Representation for Robot Policies

    Jun 5, 2026Mengze Tian, Yiming Li, Sichao Liu +2Robot PoliciesSplines

    Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Idiap Research Institute, Martigny, Switzerland

  26. WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos

    Jun 1, 2026Jongmin Park, Jeonghwan Yun, Minh-Quan Viet Bui +1Scene ReconstructionMonocular Video

    KAIST

  27. Single-Line Drawing Generation via Semantics-Driven Optimization

    Jun 1, 2026Tanguy Magne, Alexandre Binninger, Ruben Wiersma +1SketchesModern Text-To-Image Models

    ETH Zurich, Zurich, Switzerland

  28. TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting

    May 21, 2026Hyeseong Kim, Geonhui Son, Deukhee Lee +1Sparse-ViewScene Reconstruction

    Yonsei University · Korea Institute of Science and Technology

  29. Posterior Contraction of Lévy Adaptive B-spline Regression in Besov Spaces

    May 19, 2026Jeunghun Oh, Sewon Park, Jaeyong LeeSplinesLogarithmic Sobolev Inequalities

    Department of Statistics, Seoul National University. · Department of Statistics, Sookmyung Women’s University.

  30. Optimizing 4D Wires for Sparse 3D Abstraction

    May 12, 2026Dong-Yi Wu, Tong-Yee Lee3D GeometryDifferentiable Rendering

    National Cheng Kung University Tainan, Taiwan

  31. Robust Basis Spline Decoupling for the Compression of Transformer Models

    May 11, 2026Joppe De Jonghe, Van Tien Pham, Mariya IshtevaTensor DecompositionTransformer Architectures

    aNUMA, Department of Computer Science, KU Leuven, Kleinhoefstraat 4, Geel, 2440, Antwerpen, België · bUniversité Paris-Saclay, CEA, List, Palaiseau, F-91120, France

  32. Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting

    May 7, 2026Naveen MysoreKolmogorov-Arnold NetworksSplines

    University of California, Santa Barbara

  33. Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer

    May 6, 2026Alexander Hsu, Zhaiming Shen, Wenjing Liao +1In-Context LearningTransformer Architectures

    Department of Mathematics, Purdue University · School of Mathematics, Georgia Institute of Technology

  34. Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning

    May 6, 2026Tushar Das, Subrata Dutta, Sarmistha Neogy +1SplinesEquivariant Learning

    National Institute of Technology Jamshedpur · Jadavpur University · Machine Vision and Intelligence Lab National Institute of Technology Jamshedpur

  35. UVTran: Accurate Hole-Filling Parameterization with Transformers

    Apr 27, 2026JunFeng ZhangSplinesTransformer Architectures

    a

  36. LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

    Apr 23, 2026Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-TelloKolmogorov-Arnold NetworksDeep Learning Architectures

    Cinvestav, Unidad Guadalajara · Av. del Bosque 1145, El Bajio · Zapopan, Jalisco, 45017, Mexico +3

  37. A Complementary Visualisation Suite for Empirical Performance Analysis: Tempographs, Histograms, Ridgeline Plots, Stacked Bar Charts, and Combination Charts Applied to Beethoven's Piano and Cello Sonatas

    Apr 18, 2026Ignasi SoleBeethovenVisualization

  38. A B-Spline Function Based 3D Point Cloud Unwrapping Scheme for 3D Fingerprint Recognition and Identification

    Apr 17, 2026Mohammad Mogharen Askarin, Jiankun Hu, Min Wang +2Point CloudsFingerprint

    School of Systems and Computing, UNSW Canberra, ACT 2600, Australia · Information Systems, University of Canberra, ACT 2617, Australia · School of Information and Communication Technology, Griffith University, Queensland 4222, Australia +1

  39. SimpleProc: Fully Procedural Synthetic Data from Simple Rules for Multi-View Stereo

    Apr 6, 2026Zeyu Ma, Alexander Raistrick, Jia DengLarge-Scale 3D Editing DatasetSynthetic Data

    Princeton University

  40. Parallel Reference-Centric Continuous-Time Relative Localization with Augmented Clamped Non-Uniform B-Splines

    Feb 25, 2026Jiadong Lu, Zhehan Li, Tao Han +4Simultaneous Localization And MappingSplines

    State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, China. · Huzhou Institute of Zhejiang University, Huzhou, 313000, China. · The School of Automation and Intellegent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China. +1

  41. Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing

    Feb 2, 2026Egor Serov, Ilya Kuleshov, Alexey ZaytsevNeural Ordinary Differential EquationsLearning-Based Control

    Applied AI Institute · Risk AI Research Lab

  42. QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks

    Nov 24, 2025Kazi Ahmed Asif Fuad, Lizhong ChenQuantization-Aware TrainingKolmogorov-Arnold Networks

    Department of EECS · Oregon State University · Corvallis, OR 97331

  43. Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding

    Sep 10, 2025Tam Thuc Do, Philip A. Chou, Gene CheungPoint CloudsDeep Unfolding Networks

    department of EECS, York University, 4700 Keele Street, Toronto, M3J 1P3, Canada