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Learning Diffusion at Lightspeed

Learning Diffusion at Lightspeed

18 June 2024
Antonio Terpin
Nicolas Lanzetti
Florian Dorfler
    DiffM
ArXivPDFHTML

Papers citing "Learning Diffusion at Lightspeed"

7 / 7 papers shown
Title
Generative emulation of chaotic dynamics with coherent prior
Generative emulation of chaotic dynamics with coherent prior
Juan Nathaniel
Pierre Gentine
AI4TS
AI4CE
28
0
0
19 Apr 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Sebastian Kaltenbach
P. Koumoutsakos
Bjoern H. Menze
DiffM
20
0
0
14 Apr 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Vincent Guan
Joseph Janssen
Hossein Rahmani
Andrew Warren
Stephen X. Zhang
Elina Robeva
Geoffrey Schiebinger
DiffM
26
2
0
30 Oct 2024
Diffusion Models: A Comprehensive Survey of Methods and Applications
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
221
1,277
0
02 Sep 2022
Riemannian Metric Learning via Optimal Transport
Riemannian Metric Learning via Optimal Transport
Christopher Scarvelis
Justin Solomon
OT
34
11
0
18 May 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Marco Cuturi
Laetitia Meng-Papaxanthos
Yingtao Tian
Charlotte Bunne
Geoff Davis
O. Teboul
OT
143
94
0
28 Jan 2022
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
173
596
0
22 Sep 2016
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