Update README.md

Author: Christos Psarras

README.md

@@ -6,32 +6,6 @@ that assess the extent to which said languages translate high-level linear algeb
 For instructions on how to setup the benchmarks and install all languages used (and linking to Intel MKL), please consult the [Wiki](https://github.com/ChrisPsa/LAMP_benchmark/wiki) page.
 
 ## Related Publications
-* [The Linear Algebra Mapping Problem. Current state of linear algebra languages and libraries](https://arxiv.org/abs/1911.09421):
+* [The Linear Algebra Mapping Problem. Current state of linear algebra languages and libraries](https://dl.acm.org/doi/10.1145/3549935)
 
-```bibtex
-@misc{10.48550/arxiv.1911.09421,
-    title        = {The Linear Algebra Mapping Problem. Current state of linear algebra languages and libraries},
-    author       = {Psarras, Christos and Barthels, Henrik and Bientinesi, Paolo},
-    year         = 2019,
-    publisher    = {arXiv},
-    doi          = {10.48550/ARXIV.1911.09421},
-    url          = {https://arxiv.org/abs/1911.09421},
-    copyright    = {arXiv.org perpetual, non-exclusive license},
-    keywords     = {Mathematical Software (cs.MS), Programming Languages (cs.PL), FOS: Computer and information sciences, FOS: Computer and information sciences}
-}
-```
-
-* [Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch](https://arxiv.org/abs/2202.09888)
-
-```bibtex
-@misc{10.48550/arxiv.2202.09888,
-	title        = {Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch},
-	author       = {Sankaran, Aravind and Alashti, Navid Akbari and Psarras, Christos and Bientinesi, Paolo},
-	year         = 2022,
-	publisher    = {arXiv},
-	doi          = {10.48550/ARXIV.2202.09888},
-	url          = {https://arxiv.org/abs/2202.09888},
-	copyright    = {Creative Commons Attribution 4.0 International},
-	keywords     = {Mathematical Software (cs.MS), Machine Learning (cs.LG), Performance (cs.PF), FOS: Computer and information sciences, FOS: Computer and information sciences}
-}
-```
+* [Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch](https://ieeexplore.ieee.org/document/9835658)