A Mathematical Framework for Learning Probability Distributions

22 December 2022

Papers citing "A Mathematical Framework for Learning Probability Distributions"

11 / 11 papers shown

Title
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 74 29 0 13 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 53 1 0 26 Feb 2025
Hamiltonian bridge: A physics-driven generative framework for targeted pattern control Vishaal Krishnan Sumit Sinha L. Mahadevan AI4CE 19 1 0 16 Oct 2024
$$\text{Memory}^3$: Language Modeling with Explicit Memory$ $\text{Memory}^3$ : Language Modeling with Explicit Memory Hongkang Yang Zehao Lin Wenjin Wang Hao Wu Zhiyu Li ... Yu Yu Kai Chen Feiyu Xiong Linpeng Tang Weinan E 48 11 0 01 Jul 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 36 9 0 19 Feb 2024
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016