Machine Learning in the Search for New Fundamental Physics

Machine Learning in the Search for New Fundamental Physics

7 December 2021

Gregor Kasieczka

Benjamin Nachman

Papers citing "Machine Learning in the Search for New Fundamental Physics"

11 / 11 papers shown

Title
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets Yunqi Cai Jiangnan Li Dong Wang OOD AI4CE 13 0 0 19 Oct 2024
Universal New Physics Latent Space Anna Hallin Gregor Kasieczka Sabine Kraml A. Lessa L. Moureaux Tore von Schwartz David Shih AI4CE 23 0 0 29 Jul 2024
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 8 3 0 13 Jun 2023
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 17 9 0 09 Nov 2022
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics Dominique J. Kösters Bryan A. Kortman I. Boybat Elena Ferro Sagar Dolas ... T. Rasing H. Riel A. Sebastian S. Caron J. Mentink 30 13 0 21 Sep 2022
Machine learning based surrogate models for microchannel heat sink optimization Ante Sikirica L. Grbčić L. Kranjčević TPM AI4CE 11 38 0 20 Aug 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 13 5 0 19 Jul 2022
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 23 36 0 16 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 75 385 0 16 Apr 2018
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. Tull Sang-Yun Oh Pierre Baldi P. Prabhat 25 32 0 28 Jan 2016