---
title: "Jascha Sohl-Dickstein — papers"
description: "Jascha Sohl-Dickstein: 3 papers in the Elamur Research library (2015–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/jascha-sohl-dickstein/"
---
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# Jascha Sohl-Dickstein

3 papers on this site (2015–2023)

- [NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/) — Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al. · 2023
- [Score-Based Generative Modeling through Stochastic Differential Equations](https://md.research.elamur.ai/free/en/papers/song-2020-score-based-generative-modeling-through/) — Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al. · 2020
- [Deep Unsupervised Learning using Nonequilibrium Thermodynamics](https://md.research.elamur.ai/free/en/papers/sohl-2015-dickstein-deep-unsupervised-learning-using-nonequilibrium/) — Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al. · 2015