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Representation Learning

18,863 papers

Papers per year

Papers

Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025
Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025
Autoencoders in Function Space JMLR 2025
Boosting Causal Additive Models JMLR 2025
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025
Early Alignment in Two-Layer Networks Training is a Two-Edged Sword JMLR 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025
Linear Separation Capacity of Self-Supervised Representation Learning JMLR 2025
Operator Learning for Hyperbolic PDEs JMLR 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data JMLR 2025
Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025
On Probabilistic Embeddings in Optimal Dimension Reduction JMLR 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval JMLR 2025
Towards Unified Native Spaces in Kernel Methods JMLR 2025
Substitute Adjustment via Recovery of Latent Variables JMLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
Geometric Operator Learning with Optimal Transport JMLR 2025
Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025
Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025
Continuum Attention for Neural Operators JMLR 2025
GloCOM: A Short Text Neural Topic Model via Global Clustering Context NAACL 2025