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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]]. |