A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Kamkari, Hamidreza, Ross, Brendan Leigh, Hosseinzadeh, Rasa, Cresswell, Jesse C., Loaiza-Ganem, Gabriel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Geometric Framework for Understanding Memorization in Generative Models
by: Ross, Brendan Leigh, et al.
Published: (2024)
by: Ross, Brendan Leigh, et al.
Published: (2024)
On Convolutions, Intrinsic Dimension, and Diffusion Models
by: Leung, Kin Kwan, et al.
Published: (2025)
by: Leung, Kin Kwan, et al.
Published: (2025)
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
by: Loaiza-Ganem, Gabriel, et al.
Published: (2024)
by: Loaiza-Ganem, Gabriel, et al.
Published: (2024)
A Geometric Explanation of the Likelihood OOD Detection Paradox
by: Kamkari, Hamidreza, et al.
Published: (2024)
by: Kamkari, Hamidreza, et al.
Published: (2024)
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples
by: Vouitsis, Noël, et al.
Published: (2024)
by: Vouitsis, Noël, et al.
Published: (2024)
TabDPT: Scaling Tabular Foundation Models on Real Data
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
by: Ross, Brendan Leigh, et al.
Published: (2025)
by: Ross, Brendan Leigh, et al.
Published: (2025)
Data-Efficient Multimodal Fusion on a Single GPU
by: Vouitsis, Noël, et al.
Published: (2023)
by: Vouitsis, Noël, et al.
Published: (2023)
Trustworthy AI Must Account for Interactions
by: Cresswell, Jesse C.
Published: (2025)
by: Cresswell, Jesse C.
Published: (2025)
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
by: Balazadeh, Vahid, et al.
Published: (2025)
by: Balazadeh, Vahid, et al.
Published: (2025)
Deep Ensembles Secretly Perform Empirical Bayes
by: Loaiza-Ganem, Gabriel, et al.
Published: (2025)
by: Loaiza-Ganem, Gabriel, et al.
Published: (2025)
Last Layer Empirical Bayes
by: Villecroze, Valentin, et al.
Published: (2025)
by: Villecroze, Valentin, et al.
Published: (2025)
Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
by: Sobieski, Bartlomiej, et al.
Published: (2026)
by: Sobieski, Bartlomiej, et al.
Published: (2026)
RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
by: Tang, Zhenwei, et al.
Published: (2026)
by: Tang, Zhenwei, et al.
Published: (2026)
Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models
by: Roset, Joan Font-Quer, et al.
Published: (2025)
by: Roset, Joan Font-Quer, et al.
Published: (2025)
Conf-Gen: Conformal Uncertainty Quantification for Generative Models
by: Loaiza-Ganem, Gabriel, et al.
Published: (2026)
by: Loaiza-Ganem, Gabriel, et al.
Published: (2026)
Scaling Up Diffusion and Flow-based XGBoost Models
by: Cresswell, Jesse C., et al.
Published: (2024)
by: Cresswell, Jesse C., et al.
Published: (2024)
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
by: Cui, Wei, et al.
Published: (2024)
by: Cui, Wei, et al.
Published: (2024)
Less is More: Local Intrinsic Dimensions of Contextual Language Models
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
by: Gorti, Satya Krishna, et al.
Published: (2024)
by: Gorti, Satya Krishna, et al.
Published: (2024)
Learning Orthonormal Bases for Function Spaces
by: Kamkari, Hamidreza, et al.
Published: (2026)
by: Kamkari, Hamidreza, et al.
Published: (2026)
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
by: Khosrowshahli, Rasa, et al.
Published: (2024)
by: Khosrowshahli, Rasa, et al.
Published: (2024)
Geometry-Guided Adversarial Prompt Detection via Curvature and Local Intrinsic Dimension
by: Yung, Canaan, et al.
Published: (2025)
by: Yung, Canaan, et al.
Published: (2025)
Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension
by: Andriopoulos, George, et al.
Published: (2025)
by: Andriopoulos, George, et al.
Published: (2025)
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
by: Tulchinskii, Eduard, et al.
Published: (2023)
by: Tulchinskii, Eduard, et al.
Published: (2023)
Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease
by: Alavi, Azadeh, et al.
Published: (2026)
by: Alavi, Azadeh, et al.
Published: (2026)
Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
by: Hu, Zizhao, et al.
Published: (2025)
by: Hu, Zizhao, et al.
Published: (2025)
Order-based Structure Learning with Normalizing Flows
by: Kamkari, Hamidreza, et al.
Published: (2023)
by: Kamkari, Hamidreza, et al.
Published: (2023)
Intrinsic Dimension Estimating Autoencoder (IDEA) Using CancelOut Layer and a Projected Loss
by: Oriou, Antoine, et al.
Published: (2025)
by: Oriou, Antoine, et al.
Published: (2025)
Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training
by: Lin, Jinhong, et al.
Published: (2026)
by: Lin, Jinhong, et al.
Published: (2026)
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
by: Zhao, Wanjia, et al.
Published: (2025)
by: Zhao, Wanjia, et al.
Published: (2025)
Miner:Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models
by: Jiang, Shuyang, et al.
Published: (2026)
by: Jiang, Shuyang, et al.
Published: (2026)
Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2026)
by: Chakraborty, Saptarshi, et al.
Published: (2026)
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models
by: Razzhigaev, Anton, et al.
Published: (2023)
by: Razzhigaev, Anton, et al.
Published: (2023)
MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
by: Shin, Minjung, et al.
Published: (2025)
by: Shin, Minjung, et al.
Published: (2025)
Adaptive Path Integral Diffusion: AdaPID
by: Chertkov, Michael, et al.
Published: (2025)
by: Chertkov, Michael, et al.
Published: (2025)
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
by: Camboulin, Charles, et al.
Published: (2024)
by: Camboulin, Charles, et al.
Published: (2024)
Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
by: Osada, Genki
Published: (2026)
by: Osada, Genki
Published: (2026)
Similar Items
-
A Geometric Framework for Understanding Memorization in Generative Models
by: Ross, Brendan Leigh, et al.
Published: (2024) -
On Convolutions, Intrinsic Dimension, and Diffusion Models
by: Leung, Kin Kwan, et al.
Published: (2025) -
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
by: Loaiza-Ganem, Gabriel, et al.
Published: (2024) -
A Geometric Explanation of the Likelihood OOD Detection Paradox
by: Kamkari, Hamidreza, et al.
Published: (2024) -
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples
by: Vouitsis, Noël, et al.
Published: (2024)