Cover Image

Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Loaiza-Ganem, Gabriel, Ross, Brendan Leigh, Hosseinzadeh, Rasa, Caterini, Anthony L., Cresswell, Jesse C.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
by: Kamkari, Hamidreza, 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)

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)

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
by: Ross, Brendan Leigh, et al.
Published: (2025)

TabDPT: Scaling Tabular Foundation Models on Real Data
by: Ma, Junwei, et al.
Published: (2024)

Deep Ensembles Secretly Perform Empirical Bayes
by: Loaiza-Ganem, Gabriel, et al.
Published: (2025)

Trustworthy AI Must Account for Interactions
by: Cresswell, Jesse C.
Published: (2025)

Data-Efficient Multimodal Fusion on a Single GPU
by: Vouitsis, Noël, et al.
Published: (2023)

Last Layer Empirical Bayes
by: Villecroze, Valentin, et al.
Published: (2025)

RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
by: Tang, Zhenwei, et al.
Published: (2026)

Conf-Gen: Conformal Uncertainty Quantification for Generative Models
by: Loaiza-Ganem, Gabriel, et al.
Published: (2026)

Retrieval & Fine-Tuning for In-Context Tabular Models
by: Thomas, Valentin, et al.
Published: (2024)

Generative Model Inversion Through the Lens of the Manifold Hypothesis
by: Peng, Xiong, 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)

Scaling Up Diffusion and Flow-based XGBoost Models
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)

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
by: Huang, Wei, et al.
Published: (2026)

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
by: Farghly, Tyler, et al.
Published: (2025)

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
by: Peng, Yuanzhe, et al.
Published: (2025)

El sistema penal en la encrucijada ante el reto de la inteligencia artificial
by: Mario Caterini
Published: (2022)

La ética económica y la responsabilidad penal
by: Mario Caterini
Published: (2015)

Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models
by: Kanai, Sekitoshi, et al.
Published: (2024)

The Master Key Filters Hypothesis: Deep Filters Are General
by: Babaiee, Zahra, et al.
Published: (2024)

Understanding Human Actions through the Lens of Executable Models
by: Rubavicius, Rimvydas, et al.
Published: (2026)

Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
by: Khosrowshahli, Rasa, et al.
Published: (2024)

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction
by: Dutta, Senjuti, et al.
Published: (2024)

Conditional Deep Generative Models for Belief State Planning
by: Bigeard, Antoine, et al.
Published: (2025)

Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling
by: Tiblias, Federico, et al.
Published: (2025)

mHC: Manifold-Constrained Hyper-Connections
by: Xie, Zhenda, et al.
Published: (2025)

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
by: Jiang, Yifan, et al.
Published: (2026)

Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
by: Malashin, Roman, et al.
Published: (2025)

Deep Manifold Part 1: Anatomy of Neural Network Manifold
by: Ma, Max Y., et al.
Published: (2024)

Analyzing Memorization in Large Language Models through the Lens of Model Attribution
by: Menta, Tarun Ram, et al.
Published: (2025)

Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
by: Bai, Jiaxin, et al.
Published: (2023)

Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game
by: Merino, Tim, et al.
Published: (2024)

Hypothesis Search: Inductive Reasoning with Language Models
by: Wang, Ruocheng, et al.
Published: (2023)

ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)