---
title: "Who cites Variational Inference with Normalizing Flows"
description: "188 papers of the Elamur Research library cite «Variational Inference with Normalizing Flows», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/rezende-2015-variational-inference-normalizing-flows/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Variational Inference with Normalizing Flows](https://md.research.elamur.ai/free/en/papers/rezende-2015-variational-inference-normalizing-flows/) / cited by

# Who cites «Variational Inference with Normalizing Flows»

188 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Variational Inference with Normalizing Flows»](https://md.research.elamur.ai/free/en/papers/rezende-2015-variational-inference-normalizing-flows/)

1. **[Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.*2016 · 2,435 citations*
2. **[WaveGlow: A Flow-based Generative Network for Speech Synthesis](https://md.research.elamur.ai/free/en/papers/prenger-2018-waveglow-flow-based-generative-network/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Ryan Prenger, Rafael Valle, Bryan Catanzaro*2018 · 1,055 citations*
3. [**Denoising Diffusion Implicit Models arXiv:2010.02502**Jiaming Song, Chenlin Meng, Stefano Ermon*2020 · 576 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/)
4. [**Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow arXiv:2209.03003**Xingchao Liu, Chengyue Gong, Qiang Liu*2022 · 315 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-flow-straight-fast-learning-generate/)
5. [**Structured Denoising Diffusion Models in Discrete State-Spaces arXiv:2107.03006**Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.*2021 · 284 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/)
6. **[FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow](https://md.research.elamur.ai/free/en/papers/ma-2019-flowseq-non-autoregressive-conditional-sequence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuezhe Ma, Chunting Zhou, Xian Li, et al.*2019 · 218 citations*
7. **[Compound Probabilistic Context-Free Grammars for Grammar Induction](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 201 citations*
8. [**PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426**Junsong Chen, Jincheng Yu, Chongjian Ge, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/)
9. **[Flow-Based Page Unique Semantic Mapping Architecture for Document Visual Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-flow-based-page-unique-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haosen Wang, Jing Xiao, Chaochao Du, et al.*2026*
10. [**Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展) Acta Automatica Sinica (自动化学报)**Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/)

178 more papers of our library cite it; they have no page here yet.

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