KAN 2.0: Kolmogorov-Arnold Networks Meet Science
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Abstract (arXiv)
A major challenge of AI + Science lies in their inherent incompatibility: today's AI is primarily based on connectionism, while science depends on symbolism. To bridge the two worlds, we propose a framework to seamlessly synergize Kolmogorov-Arnold Networks (KANs) and science. The framework highlights KANs' usage for three aspects of scientific discovery: identifying relevant features, revealing modular structures, and discovering symbolic formulas. The synergy is bidirectional: science to KAN (incorporating scientific knowledge into KANs), and KAN to science (extracting scientific insights from KANs). We highlight major new functionalities in the pykan package: (1) MultKAN: KANs with multiplication nodes. (2) kanpiler: a KAN compiler that compiles symbolic formulas into KANs. (3) tree converter: convert KANs (or any neural networks) to tree graphs. Based on these tools, we demonstrate KANs' capability to discover various types of physical laws, including conserved quantities, Lagrangians, symmetries, and constitutive laws.
Key facts. Cited by 116 papers in the map (data through 7 Oct 2026). Builds on 72 of its 101 references that are in the map. First posted on arXiv 19 Aug 2024.
Builds on
72 of 101 references.
References · 72
- 2022Locating and Editing Factual Associations in GPTcited by 2,609
- 2023Sparse Autoencoders Find Highly Interpretable Features in Language Modelscited by 1,359
- 2022Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 smallcited by 1,130
- 2022Toy Models of Superpositioncited by 928
- 2020Learning to Simulate Complex Physics with Graph Networkscited by 867
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50 most cited of 72 All 72 (JSON)
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Citing papers per year: 2024: 28; 2025: 55; 2026: 33.
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- 2024From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learningcited by 73
- 2024A Survey on Kolmogorov-Arnold Networkcited by 67
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- 2024FC-KAN: Function Combinations in Kolmogorov-Arnold Networkscited by 18
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- 2025A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imagingcited by 3
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- 2026Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learningcited by 3
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- 2024Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networkscited by 2
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- 2025Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?cited by 2
- 2025iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Networkcited by 2
- 2025On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimatorscited by 2
- 2025CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networkscited by 2
- 2025Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Valuecited by 2
- 2025Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materialscited by 2
- 2025Softly Symbolifying Kolmogorov-Arnold Networkscited by 2
- 2026Vision KAN: Towards an Attention-Free Backbone for Vision with Kolmogorov-Arnold Networkscited by 2
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- 2024Uncertainty Quantification with Bayesian Higher Order ReLU KANscited by 1
50 most cited of 116 All 116 (JSON)
- 2026Sample-Efficiency of Kolmogorov-Arnold Networks7 Oct 2026
- 2026Kolmogorov--Arnold stability for discontinuous functions7 Sep 2026
- 2026SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials3 Sep 2026
- 2026RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis1 Sep 2026
- 2026Kolmogorov--Arnold against bounded translations31 Aug 2026
- 2026HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks12 Aug 2026
- 2026CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts7 Jul 2026
- 2026Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps3 Jul 2026
- 2026KANLib -- A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation16 Jun 2026
- 2026A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations28 May 2026
- 2026K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph24 May 2026
- 2026Fourier Feature Pyramids for Physics-Informed Neural Networks22 May 2026
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- 2026KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks12 May 2026
- 2026Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces12 May 2026
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- 2026Making Gaussian Kolmogorov-Arnold Networks Reliable and Accurate23 Apr 2026
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- 2026Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning25 Mar 2026
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- 2026SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks19 Mar 2026
- 2026In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks16 Mar 2026
- 2026Demystifying KAN for Vision Tasks: The RepKAN Approach6 Mar 2026
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- 2026Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation3 Feb 2026
- 2026TruKAN: Towards More Efficient Kolmogorov-Arnold Networks Using Truncated Power Functions2 Feb 2026
- 2026Discovering Scaling Exponents with Physics-Informed M"untz-Sz'asz Networks30 Jan 2026
- 2026Vision KAN: Towards an Attention-Free Backbone for Vision with Kolmogorov-Arnold Networks29 Jan 2026
- 2026LabelKAN -- Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning23 Jan 2026
- 2026ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis1 Jan 2026
- 2025Towards Arbitrary Motion Completing via Hierarchical Continuous Representation24 Dec 2025
- 2025DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics23 Dec 2025
- 2025KANEL'E: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation14 Dec 2025
- 2025Optimized Architectures for Kolmogorov-Arnold Networks13 Dec 2025
- 2025KAN-Dreamer: Benchmarking Kolmogorov-Arnold Networks as Function Approximators in World Models8 Dec 2025
- 2025QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory4 Dec 2025
- 2025Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials1 Dec 2025
- 2025Scalable and Interpretable Scientific Discovery via Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN)29 Nov 2025
- 2025Softly Symbolifying Kolmogorov-Arnold Networks27 Nov 2025
- 2025When Swin Transformer Meets KANs: An Improved Transformer Architecture for Medical Image Segmentation6 Nov 2025
- 2025Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT28 Oct 2025
- 2025On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions17 Oct 2025
- 2025PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structure9 Oct 2025
- 2025Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value2 Oct 2025
- 2025Deformable Medical Image Registration with KAN-based Implicit Neural Representations26 Sep 2025
- 2025CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks26 Sep 2025
- 2025On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators24 Sep 2025
50 newest of 116 All 116 (JSON)
- 2024KAN v.s. MLP for Offline Reinforcement Learningcited by 3
- 2024KAN v.s. MLP for Offline Reinforcement Learning15 Sep 2024
- 2024From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learningcited by 73
- 2024A Survey on Kolmogorov-Arnold Networkcited by 67
- 2024Kolmogorov-Arnold Transformercited by 56
- 2024On the expressiveness and spectral bias of KANscited by 36
- 2024KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networkscited by 20
- 2024FC-KAN: Function Combinations in Kolmogorov-Arnold Networkscited by 18
- 2025KANEL'E: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluationcited by 13
- 2024SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networkscited by 12
- 2025LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behaviorcited by 12
- 2025Sub-Sequential Physics-Informed Learning with State Space Modelcited by 10
- 2025A Neural Symbolic Model for Space Physicscited by 10
- 2024Multifidelity Kolmogorov-Arnold Networkscited by 9
12 most cited of 111 All 111 (JSON)
- 2026Sample-Efficiency of Kolmogorov-Arnold Networks7 Oct 2026
- 2026Kolmogorov--Arnold stability for discontinuous functions7 Sep 2026
- 2026SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials3 Sep 2026
- 2026RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis1 Sep 2026
- 2026Kolmogorov--Arnold against bounded translations31 Aug 2026
- 2026HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks12 Aug 2026
- 2026CaLiSym: Learning Symplectic Dynamics of Real-World Systems through Structured Canonical Lifts7 Jul 2026
- 2026Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps3 Jul 2026
- 2026KANLib -- A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation16 Jun 2026
- 2026A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations28 May 2026
- 2026K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph24 May 2026
- 2026Fourier Feature Pyramids for Physics-Informed Neural Networks22 May 2026
12 newest of 111 All 111 (JSON)