--- title: "Who cites Deep Unsupervised Learning using Nonequilibrium…" description: "256 papers of the Elamur Research library cite «Deep Unsupervised Learning using Nonequilibrium Thermodynamics», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/sohl-dickstein-2015-deep-unsupervised-learning-using-nonequilibrium/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/sohl-dickstein-2015-deep-unsupervised-learning-using-nonequilibrium/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep Unsupervised Learning using Nonequilibrium…](https://md.research.elamur.ai/free/en/papers/sohl-dickstein-2015-deep-unsupervised-learning-using-nonequilibrium/) / cited by # Who cites «Deep Unsupervised Learning using Nonequilibrium Thermodynamics» 256 papers of our library cite it (of the 140,884 whose bibliographies we read) · 18 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/sohl-dickstein-2015-deep-unsupervised-learning-using-nonequilibrium/) 1. [**Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks**Alec Radford, Luke Metz, Soumith Chintala*2015 · 6,519 citations*](https://md.research.elamur.ai/free/en/papers/radford-2015-unsupervised-representation-learning-deep-convolutional/) 2. [**On the Opportunities and Risks of Foundation Models**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,044 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) 3. [**Hierarchical Text-Conditional Image Generation with CLIP Latents**Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.*2022 · 2,599 citations*](https://md.research.elamur.ai/free/en/papers/ramesh-2022-hierarchical-text-conditional-image-generation/) 4. [**Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding**Chitwan Saharia, William Chan, Saurabh Saxena, et al.*2022 · 2,416 citations*](https://md.research.elamur.ai/free/en/papers/saharia-2022-photorealistic-text-image-diffusion-models/) 5. [**Score-Based Generative Modeling through Stochastic Differential Equations**Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al.*2020 · 1,528 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-score-based-generative-modeling-through/) 6. [**Generative Modeling by Estimating Gradients of the Data Distribution**Yang Song, Stefano Ermon*2019 · 1,155 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-generative-modeling-estimating-gradients-data/) 7. [**Classifier-Free Diffusion Guidance**Jonathan Ho, Tim Salimans*2022 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/ho-2022-classifier-free-diffusion-guidance/) 8. [**SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis**Dustin Podell, Zion English, Kyle Lacey, et al.*2023 · 571 citations*](https://md.research.elamur.ai/free/en/papers/podell-2023-sdxl-improving-latent-diffusion-models/) 9. [**Denoising Diffusion Implicit Models**Jiaming Song, Chenlin Meng, Stefano Ermon*2020 · 460 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/) 10. [**Diffusion-LM Improves Controllable Text Generation**Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.*2022 · 421 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/) 11. [**Flow Matching for Generative Modeling**Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, et al.*2022 · 397 citations*](https://md.research.elamur.ai/free/en/papers/lipman-2022-flow-matching-generative-modeling/) 12. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/) 13. [**Structured Denoising Diffusion Models in Discrete State-Spaces**Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.*2021 · 244 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/) 14. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/) 15. [**Large Language Diffusion Models**Shen Nie, Fengqi Zhu, Zebin You, et al.*2025 · 164 citations*](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/) 16. [**Simple and Effective Masked Diffusion Language Models**Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/) 17. [**Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/) 18. [**Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic**Saad Mankarious, Aya Zirikly*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mankarious-2026-style-transfer-bias-mitigation-diffusion/) 238 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/sohl-dickstein-2015-deep-unsupervised-learning-using-nonequilibrium/) — Deep Unsupervised Learning using Nonequilibrium Thermodynamics