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research_details [2020/10/26 02:15]
jthaler [Data Science and Machine Learning]
research_details [2021/01/20 01:50] (current)
jthaler [Data Science and Machine Learning]
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 Machine learning has impacted many scientific fields, and particle physics is no exception. ​ In my research, I aim to enhance the search for new phenomena at colliders by merging the performance of deep learning algorithms with the robustness of "deep thinking"​ approaches. Machine learning has impacted many scientific fields, and particle physics is no exception. ​ In my research, I aim to enhance the search for new phenomena at colliders by merging the performance of deep learning algorithms with the robustness of "deep thinking"​ approaches.
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 +  * **E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once**. \\ Benjamin Nachman and Jesse Thaler. \\ [[https://​arxiv.org/​abs/​2101.07263|arXiv:​2101.07263]].
  
   * **Mapping Machine-Learned Physics into a Human-Readable Space**. \\ Taylor Faucett, Jesse Thaler, and Daniel Whiteson. ​ \\ [[https://​arxiv.org/​abs/​2010.11998|arXiv:​2010.11998]].   * **Mapping Machine-Learned Physics into a Human-Readable Space**. \\ Taylor Faucett, Jesse Thaler, and Daniel Whiteson. ​ \\ [[https://​arxiv.org/​abs/​2010.11998|arXiv:​2010.11998]].
research_details.txt ยท Last modified: 2021/01/20 01:50 by jthaler