Fetching the paper…
Reading the bibliography…
Discrete diffusion models have seen a surge of attention with applications on naturally discrete data such as language and graphs.
Über die analytischen methoden in der wahrscheinlichkeitsrechnung
Andrei Kolmogoroff · 1931
Earlier work this paper cites.
Exact stochastic simulation of coupled chemical reactions
Daniel T Gillespie · 1977
Earlier work this paper cites.
Exact methods for the transient analysis of nonhomogeneous continuous time markov chains
Andy Rindos, Steven Woolet, Ioannis Viniotis, and Kishor Trivedi · 1995
Earlier work this paper cites.
Approximate accelerated stochastic simulation of chemically reacting systems
Daniel T Gillespie · 2001
Earlier work this paper cites.
Some extensions of score matching
Aapo Hyvärinen · 2007
Earlier work this paper cites.
On the consistency of multiclass classification methods
Ambuj Tewari and Peter L Bartlett · 2007
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Interpretation and generalization of score matching
Siwei Lyu · 2009
Earlier work this paper cites.
Continuous-time Markov chains: An applications-oriented approach
William J Anderson · 2012
Earlier work this paper cites.
Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching
Colin Raffel · 2016
Earlier work this paper cites.
Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment, 2017
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, and Yi-Hsuan Yang · 2017
Earlier work this paper cites.
Conditional molecular design with deep generative models
Seokho Kang and Kyunghyun Cho · 2018
Cited alongside, same era.
Neural discrete representation learning, 2018
Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2018
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Exploring the role of loss functions in multiclass classification
Ahmet Demirkaya, Jiasi Chen, and Samet Oymak · 2020
Cited alongside, same era.
Taming transformers for high-resolution image synthesis, 2020
Patrick Esser, Robin Rombach, and Björn Ommer · 2020
Cited alongside, same era.
Structured denoising diffusion models in discrete state-spaces
Jacob Austin, Daniel D Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg · 2021
Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
Later among the works it cites.
Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Later among the works it cites.
Diffusion-lm improves controllable text generation
Xiang Li, John Thickstun, Ishaan Gulrajani, Percy S Liang, and Tatsunori B Hashimoto · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Later among the works it cites.
On the importance of noise scheduling for diffusion models
Ting Chen · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
Argmax flows and multinomial diffusion: Learning categorical distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, and Max Welling · 2021
Cited alongside, same era.
Structure-based de novo drug design using 3d deep generative models
Yibo Li, Jianfeng Pei, and Luhua Lai · 2021
Cited alongside, same era.
A continuous time framework for discrete denoising models
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, and Arnaud Doucet · 2022
Cited alongside, same era.
Maskgit: Masked generative image transformer, 2022
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T. Freeman · 2022
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel
Cited in the paper.
Later among the works it cites.
OpenAI · 2023
Later among the works it cites.
Score-based continuous-time discrete diffusion models
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, and Hanjun Dai · 2023
Later among the works it cites.
Text-to-image diffusion model in generative ai: A survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, and In So Kweon · 2023
Later among the works it cites.
A reparameterized discrete diffusion model for text generation
Lin Zheng, Jianbo Yuan, Lei Yu, and Lingpeng Kong · 2023
Later among the works it cites.
Discrete diffusion modeling by estimating the ratios of the data distribution
Aaron Lou, Chenlin Meng, and Stefano Ermon · 2024
Closest in time.