Mathematics
6,356 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
6
3
11
43
40
56
47
63
82
130
204
219
256
250
325
374
489
556
620
576
651
697
512
144
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Papers (including subtopics)
Probabilistic Exponential Integrators
NeurIPS 2023
Projected Tensor Power Method for Hypergraph Community Recovery
ICML 2023
Properties of Position Matrices and Their Elections
AAAI 2023
Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
ICML 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NeurIPS 2023
Python package for causal discovery based on LiNGAM
JMLR 2023
Quantifying Human Priors over Social and Navigation Networks
ICML 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
NeurIPS 2023
Quantifying Network Similarity using Graph Cumulants
JMLR 2023
Quantum Channel Certification with Incoherent Measurements
COLT 2023
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation
AAAI 2023
Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning
JMLR 2023
Random Assignment of Indivisible Goods under Constraints
IJCAI 2023
Randomized geometric tools for anomaly detection in stock markets
AISTATS 2023
Range-Based Equal Error Rate for Spoof Localization
Interspeech 2023
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions
COLT 2023
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives
CVPR 2023
Reconstructing an Epidemic Outbreak Using Steiner Connectivity
AAAI 2023
Reconstructing Ultrametric Trees from Noisy Experiments
ALT 2023
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
ICML 2023
Reliable Measures of Spread in High Dimensional Latent Spaces
ICML 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
NeurIPS 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis
JMLR 2023
Residual Alignment: Uncovering the Mechanisms of Residual Networks
NeurIPS 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
COLT 2023