Showing 21–40 of 104 results
/ Date/ Name
Nov 9, 2023Neural Network Methods for Radiation Detectors and ImagingOct 5, 2023Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations LearningOct 4, 2023Rainbow: a colorful approach on multi-passband light curve estimationSep 12, 2023Mass ratio of single-line spectroscopic binaries with visual orbits using Bayesian inference and suitable priorsSep 11, 2023Reaction coordinate flows for model reduction of molecular kineticsJul 18, 2023Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learningJun 13, 2023Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsJun 9, 2023Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for Early DESI dataMay 16, 2023Demonstration of Sub-micron UCN Position Resolution using Room-temperature CMOS SensorMar 31, 2023LyAl-Net: A high-efficiency Lyman-$α$ forest simulation with a neural networkJan 12, 2023Closely estimating the entropy of sparse graph modelsJan 11, 2023Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data ProcessingDec 16, 2022An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative trainingJul 3, 2022Low probability states, data statistics, and entropy estimationJul 1, 2022Gradients of O-information: low-order descriptors of high-order dependenciesApr 11, 2022Machine learning based event classification for the energy-differential measurement of the $^\text{nat}$C(n,p) and $^\text{nat}$C(n,d) reactionsMar 24, 2022Democratizing LHC Data Analysis with ADL/CutLangMar 18, 2022Analysis Description Language: A DSL for HEP AnalysisOct 25, 2021Applications and Techniques for Fast Machine Learning in ScienceOct 16, 2021Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing Flows