Related publications by CLARIPHY collaborators

• Safety of Quark/Gluon Jet Classification, A. Romero, D. Whiteson, M. Fenton, J. Collado and P. Baldi, arXiv 2103.09103 (16 Mar 2021) [1 citation].
• Efficient sampling of constrained high-dimensional theoretical spaces with machine learning, J. Hollingsworth, M. Ratz, P. Tanedo and D. Whiteson, arXiv 2103.06957 (11 Mar 2021) [5 citations].
• Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices, S. Akar, G. Atluri, T. Boettcher, M. Peters, H. Schreiner et. al., arXiv 2103.04962 (08 Mar 2021).
• Software Training in HEP, S. Malik, S. Meehan, K. Lieret, M. Evans, M. Villanueva et. al., arXiv 2103.00659 (28 Feb 2021).
• Learning to Isolate Muons, J. Collado, K. Bauer, E. Witkowski, T. Faucett, D. Whiteson et. al., arXiv 2102.02278 (03 Feb 2021) [1 citation].
• Foundations of a Fast, Data-Driven, Machine-Learned Simulator, J. Howard, S. Mandt, D. Whiteson and Y. Yang, arXiv 2101.08944 (21 Jan 2021) [4 citations].
• Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs, A. Heintz, V. Razavimaleki, J. Duarte, G. DeZoort, I. Ojalvo et. al., arXiv 2012.01563 (30 Nov 2020) [9 citations].
• Learning to Identify Electrons, J. Collado, J. Howard, T. Faucett, T. Tong, P. Baldi et. al., arXiv 2011.01984 (03 Nov 2020) [1 citation].
• Mapping Machine-Learned Physics into a Human-Readable Space, T. Faucett, J. Thaler and D. Whiteson, Phys.Rev.D 103 036020 (2021) (22 Oct 2020) [12 citations].
• Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks, M. Fenton, A. Shmakov, T. Ho, S. Hsu, D. Whiteson et. al., arXiv 2010.09206 (19 Oct 2020) [6 citations].
• FPGAs-as-a-Service Toolkit (FaaST), D. Rankin, J. Krupa, P. Harris, M. Acosta Flechas, B. Holzman et. al., arXiv 2010.08556 (16 Oct 2020) [4 citations].
• Sparse autoregressive models for scalable generation of sparse images in particle physics, Y. Lu, J. Collado, D. Whiteson and P. Baldi, Phys.Rev.D 103 036012 (2021) (23 Sep 2020) [4 citations].
• Bayesian Neural Networks for Fast SUSY Predictions, B. Kronheim, M. Kuchera, H. Prosper and A. Karbo, Phys.Lett.B 813 136041 (2021) (13 Jul 2020) [1 citation].
• Accelerating Deep Neural Networks for Real-time Data Selection for High-resolution Imaging Particle Detectors, Y. Jwa, G. Guglielmo, L. Carloni and G. Karagiorgi, Unknown (01 Jun 2019) [1 citation].
• A Roadmap for HEP Software and Computing R&D for the 2020s, J. Albrecht, A. Alves, G. Amadio, G. Andronico, N. Anh-Ky et. al., Comput.Softw.Big Sci. 3 7 (2019) (18 Dec 2017) [98 citations].
• Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics, P. Elmer, M. Neubauer and M. Sokoloff, arXiv 1712.06592 (18 Dec 2017) [7 citations].