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Mathematics

5,735 papers (8 classified directly here)

Subtopics

Graph Theory (1,376) Statistics (1,273) Probability (1,045) Geometry (720) Information Theory (498) Discrete Mathematics (484) Linear Algebra (480) Numerical Analysis (349) Algebra (68) Signal Processing (67) Topology (41) Functional Analysis (23) Logic (13) Differential Equations (6)

Papers per year

11
57
247
551
246
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'25

Papers (including subtopics)

Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem IJCAI 2025
A Reduction-Based Algorithm for the Clique Interdiction Problem IJCAI 2025
Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora IJCAI 2025
40 Years of Research in Possibilistic Logic – a Survey IJCAI 2025
Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract) IJCAI 2025
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract) IJCAI 2025
Hildoc: Leveraging Hilbert Curve Representation for Accurate and Efficient Document Retrieval IJCNLP 2025
Noise May Drown Out Words but Foster Compositionality: The Advantage of the Erasure and Deletion Noisy Channels on Emergent Communication IJCNLP 2025
How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? IJCNLP 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025
Riemannian Bilevel Optimization JMLR 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Accelerating optimization over the space of probability measures JMLR 2025
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective JMLR 2025
On the Approximation of Kernel functions JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Manifold Fitting under Unbounded Noise JMLR 2025
Composite Goodness-of-fit Tests with Kernels JMLR 2025
Curvature-based Clustering on Graphs JMLR 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data JMLR 2025