conftrace_

Mathematics

6,356 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Graph Theory (1,461) Statistics (1,367) Probability (1,250) Geometry (791) Information Theory (548) Linear Algebra (534) Discrete Mathematics (489) Numerical Analysis (381) Signal Processing (114) Algebra (74) Differential Equations (54) Topology (49) Functional Analysis (35) Logic (16)

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489

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Papers (including subtopics)

R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NeurIPS 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024 Random matrix theory improved Fréchet mean of symmetric positive definite matrices ICML 2024 Random Subgraph Detection Using Queries JMLR 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Recursive Estimation of Conditional Kernel Mean Embeddings JMLR 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas ICML 2024 Repelling Random Walks ICLR 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma NeurIPS 2024 Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources COLING 2024 Resolution Limit of Single-Photon LiDAR CVPR 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 Risk Estimation in a Markov Cost Process: Lower and Upper Bounds ICML 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries NeurIPS 2024 Robust Graph Matching when Nodes are Corrupt ICML 2024 Robustly Learning Single-Index Models via Alignment Sharpness ICML 2024 Robust Principal Component Analysis using Density Power Divergence JMLR 2024 Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024