Showing 1–20 of 32 results
/ Date/ Name
Nov 18, 2024Variable Rate Neural Compression for Sparse Detector DataJul 24, 2019Deep convolutional neural networks for uncertainty propagation in random fieldsJul 8, 2019Bayesian deep learning with hierarchical prior: Predictions from limited and noisy dataAug 13, 2025FM4NPP: A Scaling Foundation Model for Nuclear and Particle PhysicsJan 21, 2024Continuous Field Reconstruction from Sparse Observations with Implicit Neural NetworksFeb 23, 2022A Bayesian Deep Learning Approach to Near-Term Climate PredictionMay 20, 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolutionMar 26, 2019Dynamics of random pressure fields over bluff bodies: a dynamic mode decomposition perspectiveApr 11, 2020Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale PerspectiveDec 18, 2024Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsSep 6, 2025TPCpp-10M: Simulated proton-proton collisions in a Time Projection Chamber for AI Foundation ModelsFeb 7, 2025GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying ConfoundingJan 3, 2023Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation responseFeb 23, 2022A Deep Finite Difference Emulator for the Fast Simulation of Coupled Viscous Burgers' EquationJan 25, 2022A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear SloshingJun 7, 2023Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensingDec 2, 2024Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance SamplingNov 26, 2025Dynamical Implicit Neural RepresentationsApr 1, 2025Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter ExplorationApr 16, 2025SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields