Machine Learning in the Search for New Fundamental Physics

7 December 2021

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

33 / 33 papers shown

Title
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 29 4 0 24 Oct 2024
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets Yunqi Cai Jiangnan Li Dong Wang OOD AI4CE 26 0 0 19 Oct 2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example Johannes Erdmann F. Mausolf Jan Lukas Späh 36 4 0 05 Aug 2024
Universal New Physics Latent Space Anna Hallin Gregor Kasieczka Sabine Kraml A. Lessa L. Moureaux Tore von Schwartz David Shih AI4CE 28 0 0 29 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 29 42 0 09 Jul 2024
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 45 9 0 16 May 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 30 3 0 13 Mar 2024
OmniJet- $α$ : The first cross-task foundation model for particle physics Joschka Birk Anna Hallin Gregor Kasieczka AI4CE 35 22 0 08 Mar 2024
Chaining thoughts and LLMs to learn DNA structural biophysics Tyler D. Ross Ashwin Gopinath AI4CE 31 2 0 02 Mar 2024
A cyclical route linking fundamental mechanism and AI algorithm: An example from tuning Poisson's ratio in amorphous networks Changliang Zhu Chenchao Fang Zhipeng Jin Baowen Li Xiangying Shen Lei Xu 6 5 0 06 Dec 2023
Machine learning in physics: a short guide F. A. Rodrigues PINN AI4CE 11 7 0 16 Oct 2023
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence T. Shaik Xiaohui Tao Haoran Xie Lin Li Jianming Yong Yuefeng Li AI4TS 24 2 0 18 Sep 2023
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation T. Golling Samuel Klein R. Mastandrea Benjamin Nachman J. A. Raine OOD AI4CE 11 4 0 12 Sep 2023
Scattering with Neural Operators Sebastian Mizera AI4CE 27 9 0 28 Aug 2023
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert Ryan Cory-Wright Cristina Cornelio S. Dash Bachir El Khadir L. Horesh 11 9 0 18 Aug 2023
Non-parametric Hypothesis Tests for Distributional Group Symmetry Ke-Li Chiu Benjamin Bloem-Reddy 11 7 0 28 Jul 2023
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 21 3 0 13 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection Vinicius Mikuni Benjamin Nachman DiffM 19 16 0 06 Jun 2023
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics Jia-Qi Yang Yucheng Xu Jianwei Shen Ke-Bin Fan De-Chuan Zhan Yang Yang 26 1 0 30 May 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 6 67 0 06 Mar 2023
Resonant Anomaly Detection with Multiple Reference Datasets Mayee F. Chen Benjamin Nachman Frederic Sala 25 5 0 20 Dec 2022
Feature Selection with Distance Correlation Ranit Das Gregor Kasieczka David Shih 21 14 0 30 Nov 2022
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 30 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 43 13 0 21 Sep 2022
Machine learning based surrogate models for microchannel heat sink optimization Ante Sikirica L. Grbčić L. Kranjčević TPM AI4CE 19 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 26 5 0 19 Jul 2022
Learning topological defects formation with neural networks in a quantum phase transition Han-Qing Shi Hai-Qing Zhang 24 2 0 14 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 25 185 0 04 Apr 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 13 17 0 11 Mar 2022
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 34 37 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 323 4,203 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 75 386 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 32 32 0 28 Jan 2016