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@@ -22,7 +22,7 @@ This repository contains code supporting the following publications:
 4. Landajuela et al. 2022 **A Unified Framework for Deep Symbolic Regression.** *NeurIPS 2022* [Paper](https://openreview.net/forum?id=2FNnBhwJsHK)  
 5. Landajuela et al. 2021 **Improving exploration in policy gradient search: Application to symbolic optimization.** *Math-AI @ ICLR 2021.* [Paper](https://mathai-iclr.github.io/papers/papers/MATHAI_16_paper.pdf)
 6. Kim et al. 2020 **An interactive visualization platform for deep symbolic regression.** *IJCAI 2020.* [Paper](https://www.ijcai.org/Proceedings/2020/0763.pdf)
-7. Petersen et al. 2021 **Incorporating domain knowledge into neural-guided search via *in situ* priors and constraints** *AutoML @ ICML 2021.* [Paper]()
+7. Petersen et al. 2021 **Incorporating domain knowledge into neural-guided search via *in situ* priors and constraints** *AutoML @ ICML 2021.* [Paper](https://openreview.net/forum?id=yAis5yB9MQ)
 8. Kim et al. 2021 **Distilling Wikipedia mathematical knowledge into neural network models.** *Math-AI @ ICLR 2021.* [Paper](https://mathai-iclr.github.io/papers/papers/MATHAI_15_paper.pdf)
 9. Silva et al. 2022 **Leveraging Language Models to Efficiently Learn Symbolic Optimization Solutions** *ALA Workshop 2022.* [Paper](https://ala2022.github.io/papers/ALA2022_paper_24.pdf)
 10. Glatt et al. 2022 **Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters** *AI for Design and Manufacturing (ADAM) @ AAAI 2022.* [Paper](https://openreview.net/forum?id=u_ghY9PnAyZ)