Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
by Richard D. P. Grumitt, Minas Karamanis and Uroš Seljak
 
Machine Learning Techniques to Enhance Event Reconstruction in Water Cherenkov Detectors
by Nicholas Prouse, Patrick de Perio and Wojciech Fedorko
 
Status of the muEDM Experiment at PSI
by Kim Siang Khaw, Cheng Chen, Massimo Giovannozzi, Tianqi Hu, Meng Lv, Jun Kai Ng, Angela Papa, Philipp Schmidt-Wellenburg, Bastiano Vitali and Guan Ming Wong
 
Three-Dimensional Visualization of Astronomy Data Using Virtual Reality
by Gilles Ferrand
 
Chromatic Dispersion of Chalcogenide Glass-Based Photonic Crystal Fiber with Ultra-High Numerical Aperture
by Jyoti Chauhan, Yogita Kalra and Ravindra Kumar Sinha
 
Proximal Nested Sampling with Data-Driven Priors for Physical Scientists
by Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price, Xiaohao Cai and Marcelo Pereyra
 
Improving Inferences about Exoplanet Habitability
by Risinie D. Perera and Kevin H. Knuth
 
Measurement of Atmospheric Muon Neutrino Disappearance Using CNN Reconstructions with IceCube
by Shiqi Yu
 
Model-Based and Physics-Informed Deep Learning Neural Network Structures
by Ali Mohammad-Djafari, Ning Chu, Li Wang, Caifang Cai and Liang Yu
 
Nested Sampling for Exploring Lennard-Jones Clusters
by Lune Maillard, Fabio Finocchi, César Godinho and Martino Trassinelli
Views Article
Bayesian Inference and Deep Learning for Inverse Problems
by Ali Mohammad-Djafari, Ning Chu, Li Wang and Liang Yu
Machine Learning Techniques to Enhance Event Reconstruction in Water Cherenkov Detectors
by Nicholas Prouse, Patrick de Perio and Wojciech Fedorko
Comparison of Different Far-UVC Sources with Regards to Intensity Stability, Estimated Antimicrobial Efficiency and Potential Human Hazard in Comparison to a Conventional UVC Lamp
by Ben Sicks, Florian Maiss, Christian Lingenfelder, Cornelia Wiegand and Martin Hessling
Generation of Entangled Photon Pairs from High-Quality-Factor Silicon Microring Resonator at Near-Zero Anomalous Dispersion
by Muneeb Farooq, Francisco Soares and Francisco Diaz
Uncertainty Quantification with Deep Ensemble Methods for Super-Resolution of Sentinel 2 Satellite Images
by David Iagaru and Nina Maria Gottschling
Nested Sampling—The Idea
by John Skilling
Learned Harmonic Mean Estimation of the Marginal Likelihood with Normalizing Flows
by Alicja Polanska, Matthew A. Price, Alessio Spurio Mancini and Jason D. McEwen
Physics-Consistency Condition for Infinite Neural Networks and Experimental Characterization
by Sascha Ranftl and Shaoheng Guan
A BRAIN Study to Tackle Image Analysis with Artificial Intelligence in the ALMA 2030 Era
by Fabrizia Guglielmetti, Michele Delli Veneri, Ivano Baronchelli, Carmen Blanco, Andrea Dosi, Torsten Enßlin, Vishal Johnson, Giuseppe Longo, Jakob Roth, Felix Stoehr, Łukasz Tychoniec and Eric Villard
Three-Dimensional Visualization of Astronomy Data Using Virtual Reality
by Gilles Ferrand
Downloads Article
Three-Dimensional Visualization of Astronomy Data Using Virtual Reality
by Gilles Ferrand
Nested Sampling for Detection and Localization of Sound Sources Using a Spherical Microphone Array
by Ning Xiang and Tomislav Jasa
Uncertainty Quantification with Deep Ensemble Methods for Super-Resolution of Sentinel 2 Satellite Images
by David Iagaru and Nina Maria Gottschling
Preconditioned Monte Carlo for Gradient-Free Bayesian Inference in the Physical Sciences
by Minas Karamanis and Uroš Seljak
Knowledge-Based Image Analysis: Bayesian Evidences Enable the Comparison of Different Image Segmentation Pipelines
by Mats Leif Moskopp, Andreas Deussen and Peter Dieterich
Nested Sampling—The Idea
by John Skilling
Manifold-Based Geometric Exploration of Optimization Solutions
by Guillaume Lebonvallet, Faicel Hnaien and Hichem Snoussi
A BRAIN Study to Tackle Image Analysis with Artificial Intelligence in the ALMA 2030 Era
by Fabrizia Guglielmetti, Michele Delli Veneri, Ivano Baronchelli, Carmen Blanco, Andrea Dosi, Torsten Enßlin, Vishal Johnson, Giuseppe Longo, Jakob Roth, Felix Stoehr, Łukasz Tychoniec and Eric Villard
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
by Richard D. P. Grumitt, Minas Karamanis and Uroš Seljak
The Camera System for the IceCube Upgrade
by Woosik Kang, Jiwoong Lee, Steven Rodan, Carsten Rott and Christoph Tönnis
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