---
title: "Who cites Discovering Symbolic Models — 22 citing papers"
description: "22 papers of the Elamur Research library cite «Discovering Symbolic Models from Deep Learning with Inductive Biases», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Discovering Symbolic Models from Deep Learning…](https://md.research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/) / cited by

# Who cites «Discovering Symbolic Models from Deep Learning with Inductive Biases»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Discovering Symbolic Models from Deep Learning with Inductive Biases»](https://md.research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/)

1. [**Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl arXiv:2305.01582**Miles Cranmer (Princeton University, Flatiron Institute)*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/university-2023-interpretable-machine-learning-science/)
2. [**End-to-end symbolic regression with transformers arXiv:2204.10532**Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kamienny-2022-end-end-symbolic-regression-transformers/)
3. **[Symbolic Regression with a Learned Concept Library](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.*2024 · 23 citations*
4. **[Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems](https://md.research.elamur.ai/free/en/papers/kramer-2023-automated-scientific-discovery-equation/) [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)**Stefan Kramer, Mattia Cerrato, Jannis Brugger, et al.*2023 · 13 citations*
5. [**Neuro-Symbolic Artificial Intelligence: Current Trends arXiv:2105.05330**Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/sarker-2021-neuro-symbolic-artificial-intelligence/)
6. [**SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training arXiv:2310.02227**Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/meidani-2023-snip-bridging-mathematical-symbolic-numeric/)
7. [**Neurosymbolic Programming for Science arXiv:2210.05050**Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sun-2022-neurosymbolic-programming-science/)

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

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