Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks

25 November 2021

Papers citing "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks"

22 / 22 papers shown

Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 44 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 91 1 0 21 Feb 2025
A Relative Homology Theory of Representation in Neural Networks Kosio Beshkov 99 0 0 17 Feb 2025
Improving Deep Regression with Tightness Shihao Zhang Yuguang Yan Angela Yao OOD 84 0 0 13 Feb 2025
Grokking at the Edge of Numerical Stability Lucas Prieto Melih Barsbey Pedro A.M. Mediano Tolga Birdal 42 3 0 08 Jan 2025
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 40 2 0 26 Apr 2024
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD Benjamin Dupuis Paul Viallard 18 3 0 01 Dec 2023
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression Xuxing Chen Krishnakumar Balasubramanian Promit Ghosal Bhavya Agrawalla 30 7 0 02 Oct 2023
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 20 1 0 20 Jul 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity Sarah Sachs T. Erven Liam Hodgkinson Rajiv Khanna Umut Simsekli 25 3 0 04 Jul 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 24 6 0 06 Jun 2023
Local Intrinsic Dimensional Entropy Rohan Ghosh Mehul Motani 23 2 0 05 Apr 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
Generalization Bounds with Data-dependent Fractal Dimensions Benjamin Dupuis George Deligiannidis Umut cSimcsekli AI4CE 37 12 0 06 Feb 2023
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion Chengli Tan Jiang Zhang Junmin Liu 35 1 0 09 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 19 11 0 19 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 42 127 0 11 Apr 2022
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms A. Camuto George Deligiannidis Murat A. Erdogdu Mert Gurbuzbalaban Umut cSimcsekli Lingjiong Zhu 30 29 0 09 Jun 2021
Weakly Supervised Learning of Rigid 3D Scene Flow Zan Gojcic Or Litany A. Wieser Leonidas J. Guibas Tolga Birdal 3DPC 119 91 0 17 Feb 2021
Cycle Registration in Persistent Homology with Applications in Topological Bootstrap Yohai Reani O. Bobrowski 106 24 0 03 Jan 2021
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks Umut Simsekli Ozan Sener George Deligiannidis Murat A. Erdogdu 44 55 0 16 Jun 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016