{"list":"other","total":72,"rows":[{"id":"2202.05262","title":"Locating and Editing Factual Associations in GPT","created":"2022-02-10","cited_by_count":2691},{"id":"2309.08600","title":"Sparse Autoencoders Find Highly Interpretable Features in Language Models","created":"2023-09-15","cited_by_count":1420},{"id":"2211.00593","title":"Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small","created":"2022-11-01","cited_by_count":1165},{"id":"2209.10652","title":"Toy Models of Superposition","created":"2022-09-21","cited_by_count":971},{"id":"2002.09405","title":"Learning to Simulate Complex Physics with Graph Networks","created":"2020-02-21","cited_by_count":880},{"id":"2301.05217","title":"Progress measures for grokking via mechanistic interpretability","created":"2023-01-12","cited_by_count":839},{"id":"1906.01563","title":"Hamiltonian Neural Networks","created":"2019-06-04","cited_by_count":712},{"id":"2404.19756","title":"KAN: Kolmogorov-Arnold Networks","created":"2024-04-30","cited_by_count":649},{"id":"2210.13382","title":"Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task","created":"2022-10-24","cited_by_count":431},{"id":"2306.15626","title":"LeanDojo: Theorem Proving with Retrieval-Augmented Language Models","created":"2023-06-27","cited_by_count":427},{"id":"2003.04630","title":"Lagrangian Neural Networks","created":"2020-03-10","cited_by_count":398},{"id":"2006.11287","title":"Discovering Symbolic Models from Deep Learning with Inductive Biases","created":"2020-06-19","cited_by_count":344},{"id":"2405.14860","title":"Not All Language Model Features Are One-Dimensionally Linear","created":"2024-05-23","cited_by_count":212},{"id":"2406.02918","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","created":"2024-06-05","cited_by_count":179},{"id":"2306.17844","title":"The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks","created":"2023-06-30","cited_by_count":156},{"id":"2006.10782","title":"AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity","created":"2020-06-18","cited_by_count":144},{"id":"2405.06721","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","created":"2024-05-10","cited_by_count":128},{"id":"2405.12832","title":"Wav-KAN: Wavelet Kolmogorov-Arnold Networks","created":"2024-05-21","cited_by_count":122},{"id":"1610.02995","title":"Extrapolation and learning equations","created":"2016-10-10","cited_by_count":110},{"id":"2406.02917","title":"A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks","created":"2024-06-05","cited_by_count":104},{"id":"2405.08790","title":"Kolmogorov-Arnold Networks (KANs) for Time Series Analysis","created":"2024-05-14","cited_by_count":98},{"id":"2405.09783","title":"LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery","created":"2024-05-16","cited_by_count":86},{"id":"2405.19143","title":"DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems","created":"2024-05-29","cited_by_count":84},{"id":"2011.04698","title":"AI Poincar\\'e: Machine Learning Conservation Laws from Trajectories","created":"2020-11-09","cited_by_count":77},{"id":"2406.13155","title":"Convolutional Kolmogorov-Arnold Networks","created":"2024-06-19","cited_by_count":77},{"id":"2407.16674","title":"KAN or MLP: A Fairer Comparison","created":"2024-07-23","cited_by_count":73},{"id":"2202.02306","title":"Rediscovering orbital mechanics with machine learning","created":"2022-02-04","cited_by_count":71},{"id":"2405.07344","title":"TKAN: Temporal Kolmogorov-Arnold Networks","created":"2024-05-12","cited_by_count":71},{"id":"2406.02496","title":"Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability","created":"2024-06-04","cited_by_count":70},{"id":"2406.07456","title":"fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions","created":"2024-06-11","cited_by_count":64},{"id":"2304.14369","title":"Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics","created":"2023-04-27","cited_by_count":57},{"id":"2406.06470","title":"GKAN: Graph Kolmogorov-Arnold Networks","created":"2024-06-10","cited_by_count":53},{"id":"2406.02486","title":"A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting","created":"2024-06-04","cited_by_count":52},{"id":"2406.18380","title":"KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning","created":"2024-06-26","cited_by_count":49},{"id":"1703.02435","title":"Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders","created":"2017-03-07","cited_by_count":47},{"id":"2406.00600","title":"Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing","created":"2024-06-02","cited_by_count":47},{"id":"2406.11173","title":"BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks","created":"2024-06-17","cited_by_count":46},{"id":"2302.00236","title":"Generative Adversarial Symmetry Discovery","created":"2023-02-01","cited_by_count":42},{"id":"2406.01034","title":"Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation","created":"2024-06-03","cited_by_count":42},{"id":"2406.14916","title":"Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks","created":"2024-06-21","cited_by_count":40},{"id":"2305.08746","title":"Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability","created":"2023-05-04","cited_by_count":38},{"id":"2407.17611","title":"Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks","created":"2024-07-24","cited_by_count":38},{"id":"2406.17630","title":"KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search","created":"2024-06-25","cited_by_count":37},{"id":"2406.02583","title":"Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials","created":"2024-05-30","cited_by_count":35},{"id":"2406.14495","title":"rKAN: Rational Kolmogorov-Arnold Networks","created":"2024-06-20","cited_by_count":35},{"id":"2406.19662","title":"Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems","created":"2024-06-28","cited_by_count":35},{"id":"2003.13679","title":"Detecting Symmetries with Neural Networks","created":"2020-03-30","cited_by_count":34},{"id":"2406.07869","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","created":"2024-06-12","cited_by_count":34},{"id":"2406.09087","title":"Suitability of KANs for Computer Vision: A preliminary investigation","created":"2024-06-13","cited_by_count":34},{"id":"2003.04299","title":"Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks","created":"2020-03-09","cited_by_count":33},{"id":"2406.13597","title":"GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks","created":"2024-06-19","cited_by_count":32},{"id":"2406.18354","title":"Kolmogorov-Arnold Graph Neural Networks","created":"2024-06-26","cited_by_count":32},{"id":"2109.09721","title":"Machine-learning hidden symmetries","created":"2021-09-20","cited_by_count":31},{"id":"2406.14529","title":"A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data","created":"2024-06-20","cited_by_count":25},{"id":"2405.07488","title":"Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks","created":"2024-05-13","cited_by_count":24},{"id":"2407.17790","title":"Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation","created":"2024-07-25","cited_by_count":22},{"id":"2407.14882","title":"Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise","created":"2024-07-20","cited_by_count":17},{"id":"2406.01646","title":"iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets","created":"2024-06-03","cited_by_count":16},{"id":"2007.10784","title":"OccamNet: A Fast Neural Model for Symbolic Regression at Scale","created":"2020-07-16","cited_by_count":14},{"id":"2210.13447","title":"Precision Machine Learning","created":"2022-10-24","cited_by_count":14},{"id":"2407.13044","title":"DropKAN: Regularizing KANs by masking post-activations","created":"2024-07-17","cited_by_count":14},{"id":"2407.20100","title":"F-KANs: Federated Kolmogorov-Arnold Networks","created":"2024-07-29","cited_by_count":14},{"id":"2405.14399","title":"Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks","created":"2024-05-23","cited_by_count":13},{"id":"2406.11914","title":"Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition","created":"2024-06-16","cited_by_count":13},{"id":"2208.14995","title":"Discovering Conservation Laws using Optimal Transport and Manifold Learning","created":"2022-08-31","cited_by_count":12},{"id":"2406.02875","title":"Leveraging KANs For Enhanced Deep Koopman Operator Discovery","created":"2024-06-05","cited_by_count":10},{"id":"2406.09931","title":"SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms","created":"2024-06-14","cited_by_count":10},{"id":"2407.20265","title":"COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs","created":"2024-07-24","cited_by_count":10},{"id":"2102.04008","title":"Discovering conservation laws from trajectories via machine learning","created":"2021-02-08","cited_by_count":8},{"id":"2310.07711","title":"Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks","created":"2023-10-11","cited_by_count":7},{"id":"2407.21176","title":"DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks","created":"2024-07-30","cited_by_count":7},{"id":"2404.02896","title":"Comment on \"Machine learning conservation laws from differential equations\"","created":"2024-04-03","cited_by_count":3}],"next_cursor":null}