conftrace_

low-dimensional manifold

13 papers

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Co-occurring keywords

manifold learning (403) curse of dimensionality (61) convolutional neural network (4226) convolutional residual network (4) weight decay (50) latent space (854) metric space (87) deformable object (49) data quality (130) approximation theory (77)

Papers

AIM: Manifold-based Data Filtering for Representation Finetuning AAAI 2026
Category-Agnostic Neural Object Rigging CVPR 2025
Exploring Topological Properties in Artificial Neural Networks AAAI 2025
Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models NIPS 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NIPS 2024
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023
A composable machine-learning approach for steady-state simulations on high-resolution grids NIPS 2022
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks NIPS 2018
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples CVPR 2014