conftrace_

manifold hypothesis

10 papers

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Co-occurring keywords

neural network (6616) approximation theory (77) wasserstein distance (417) hardness result (7) deep generative model (143) transformer neural network (25) score-based generative model (30) word embedding (1764) word sense induction (28) cryptographic hardness (6)

Papers

Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025
Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity JMLR 2025
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
Topological Singularity Detection at Multiple Scales ICML 2023
Implicit Manifold Gaussian Process Regression NIPS 2023
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NIPS 2022
Intrinsic Dimension Estimation Using Wasserstein Distance JMLR 2022
Topology of Word Embeddings: Singularities Reflect Polysemy COLING 2020