K. Cranmer
- Machine learning and the physical sciences
2019/03/25 by Giuseppe Carleo, J. I. Cirac, Ignacio Cirac +7 · 2 voices · 108 citations
Materials Science · Computer Science · Physics and Astronomy · #Machine Learning in Materials Science #Quantum Computing Algorithms and Architecture #Quantum many-body systems
- Discovering Symbolic Models from Deep Learning with Inductive Biases
2020/06/19 by Miles Cranmer, Cranmer, Miles, Alvaro Sanchez-Gonzalez +14 · 2 voices · 46 citations
Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #Model Reduction and Neural Networks #Neural Networks and Applications #astro-ph.CO #astro-ph.IM #cs.LG #physics.comp-ph #stat.ML
- Simulation Intelligence: Towards a New Generation of Scientific Methods
2021/12/06 by Alexander Lavin, Lavin, Alexander, David Krakauer +49 · 2 voices · 7 citations
Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications #cs.AI #cs.CE #cs.LG #cs.MS
- Review of Particle Physics
2024/08/01 by S. Navas, C. Amsler, Th. Gutsche +290 · 1 voice · 62 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dark Matter and Cosmic Phenomena #Particle physics theoretical and experimental studies
- Mining gold from implicit models to improve likelihood-free inference
2018/05/30 by Johann Brehmer, Gilles Louppe, Juan Pavez +2 · 1 voice · 10 citations
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Fault Detection and Control Systems #Machine Learning and Algorithms #Mineral Processing and Grinding #cs.LG #hep-ph #physics.data-an #stat.ML
- Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
2015/06/06 by K. Cranmer, Cranmer, Kyle, Juan Pavez +3 · 33 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Algorithms and Data Compression #Bayesian Methods and Mixture Models
- Searching for ultra-high energy cosmic rays with smartphones
2014/10/10 by Daniel Whiteson, D. Whiteson, Michael Mulhearn +6 · 1 voice · 2 citations
Physics and Astronomy · #Astrophysics and Cosmic Phenomena #Dark Matter and Cosmic Phenomena #Particle Detector Development and Performance
- Review of Particle Physics
2022/08/01 by Particle Data Group, Ronald Workman, Volker Burkert +97 · 15 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dark Matter and Cosmic Phenomena
- Exploring the Quantum Universe: Pathways to Innovation and Discovery in Particle Physics
2023/06/07 by Shoji Asai, S. Asai, Amalia Ballarino +52 · 1 voice · 16 citations
Physics and Astronomy · #Dark Matter and Cosmic Phenomena
- Flows for simultaneous manifold learning and density estimation
2020/03/31 by Johann Brehmer, K. Cranmer, Kyle Cranmer +2 · 1 voice · 8 citations
Computer Science · #Computational Physics and Python Applications #Generative Adversarial Networks and Image Synthesis #Time Series Analysis and Forecasting #cs.LG #stat.ML
- Aspects of scaling and scalability for flow-based sampling of lattice QCD
2022/11/14 by Ryan Abbott, Michael S. Albergo, Abbott, Ryan +23 · 11 citations
Decision Sciences · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Machine Learning (cs.LG) #Scientific Computing and Data Management #Statistical Mechanics (cond-mat.stat-mech) #Theoretical and Computational Physics
- Hamiltonian Graph Networks with ODE Integrators
2019/09/27 by Alvaro Sanchez-Gonzalez, Álvaro Sánchez‐González, Sanchez-Gonzalez, Alvaro +7 · 1 voice · 7 citations
Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.LG #physics.comp-ph
- Modeling Smooth Backgrounds and Generic Localized Signals with Gaussian Processes
2017/09/17 by Meghan Frate, K. Cranmer, Frate, Meghan +7 · 6 citations
Physics and Astronomy · Computer Science · #Scientific Research and Discoveries #Gaussian Processes and Bayesian Inference #Computational Physics and Python Applications
- Normalizing flows for lattice gauge theory in arbitrary space-time dimension
2023/05/03 by Ryan Abbott, Michael S. Albergo, Abbott, Ryan +25 · 7 citations
Physics and Astronomy · Mathematics · #Particle physics theoretical and experimental studies #Probability and Statistical Research #Quantum Chromodynamics and Particle Interactions
- Power-Constrained Limits
2011/05/16 by G. Cowan, Cowan, Glen, K. Cranmer +5 · 3 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Experiment (hep-ex) #Scientific Measurement and Uncertainty Evaluation #Scientific Research and Discoveries #Statistics and Probability (physics.data-an)
- Likelihood-free inference with an improved cross-entropy estimator
2018/08/02 by Markus Stoye, Stoye, Markus, Johann Brehmer +7 · 4 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods
- Sampling QCD field configurations with gauge-equivariant flow models
2022/08/07 by Ryan Abbott, Michael S. Albergo, Abbott, Ryan +25 · 3 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis with R #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Particle physics theoretical and experimental studies
- Hierarchical clustering in particle physics through reinforcement\n learning
2020/11/16 by Johann Brehmer, Sebastian Macaluso, Brehmer, Johann +5 · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Scientific Computing and Data Management
- Configurable calorimeter simulation for AI applications
2023/03/03 by F. A. Di Bello, Di Bello, Francesco Armando, Anton Charkin-Gorbulin +21 · 1 citation
Decision Sciences · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Particle Detector Development and Performance #Radiation Effects in Electronics #Scientific Computing and Data Management
- LHC EFT WG Report: Experimental Measurements and Observables
2022/11/15 by N. F. Castro, K. Cranmer, Castro, N. +17 · 1 citation
Physics and Astronomy · Computer Science · #Particle physics theoretical and experimental studies #Distributed and Parallel Computing Systems #High-Energy Particle Collisions Research
- AI for Science: An Emerging Agenda
2023/03/07 by Philipp Berens, K. Cranmer, Berens, Philipp +7 · 1 citation
Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computers and Society (cs.CY) #FOS: Computer and information sciences