ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.20292
  4. Cited By
An analytic theory of creativity in convolutional diffusion models
v1v2 (latest)

An analytic theory of creativity in convolutional diffusion models

28 December 2024
Mason Kamb
Surya Ganguli
    DiffM
ArXiv (abs)PDFHTML

Papers citing "An analytic theory of creativity in convolutional diffusion models"

14 / 14 papers shown
Title
Elucidating the representation of images within an unconditional diffusion model denoiser
Elucidating the representation of images within an unconditional diffusion model denoiser
Zahra Kadkhodaie
Stéphane Mallat
Eero P. Simoncelli
DiffM
61
0
0
02 Jun 2025
GuessBench: Sensemaking Multimodal Creativity in the Wild
GuessBench: Sensemaking Multimodal Creativity in the Wild
Zifeng Zhu
Shangbin Feng
Herun Wan
Ningnan Wang
Minnan Luo
Yulia Tsvetkov
MLLMCoGeVLM
82
0
0
01 Jun 2025
What Do You Need for Diverse Trajectory Stitching in Diffusion Planning?
What Do You Need for Diverse Trajectory Stitching in Diffusion Planning?
Quentin Clark
Florian Shkurti
768
0
0
23 May 2025
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Alessandro Favero
Antonio Sclocchi
Matthieu Wyart
DiffM
79
0
0
22 May 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan
Chen Henry Wu
Charles Ding
Aditi Raghunathan
119
0
0
21 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models
Generalization through variance: how noise shapes inductive biases in diffusion models
John J. Vastola
DiffM
486
5
0
16 Apr 2025
Diffusion Models for Cayley Graphs
Michael R. Douglas
Cristofero Fraser-Taliente
83
0
0
07 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
Bin Wu
Wuxuan Shi
Jinqiao Wang
Mang Ye
CLLVLM
89
0
0
06 Mar 2025
On the Interpolation Effect of Score Smoothing
On the Interpolation Effect of Score Smoothing
Zhengdao Chen
DiffM
145
1
0
26 Feb 2025
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min Lin
Ye Wang
DiffMTDI
343
55
0
21 Feb 2025
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
Alessandro Favero
Antonio Sclocchi
Francesco Cagnetta
Pascal Frossard
Matthieu Wyart
DiffMCoGe
110
6
0
17 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
189
1
0
09 Feb 2025
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
145
0
0
04 Feb 2025
Closed-Form Diffusion Models
Closed-Form Diffusion Models
Christopher Scarvelis
Haitz Sáez de Ocáriz Borde
Justin Solomon
DiffM
189
12
0
19 Oct 2023
1