Showing 1–20 of 25 results
/ Date/ Name
Feb 7, 2024A self-consistent data-driven model for determining stellar parameters from optical and near-IR spectraApr 24, 2020Systematic Evaluation of Backdoor Data Poisoning Attacks on Image ClassifiersDec 2, 2020A Study of Few-Shot Audio ClassificationMar 13, 2018Protein Mutation Stability Ternary Classification using Neural Networks and Rigidity AnalysisMar 13, 2018Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly DetectionDec 6, 2025PRIMRose: Insights into the Per-Residue Energy Metrics of Proteins with Double InDel Mutations using Deep LearningDec 12, 2024Emulating the Global Change Analysis Model with Deep LearningSep 14, 2019Metric-Based Few-Shot Learning for Video Action RecognitionSep 17, 2024DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion ModelsNov 23, 2020DeepClimGAN: A High-Resolution Climate Data GeneratorJul 29, 2021Fine-Grained Classroom Activity Detection from Audio with Neural NetworksDec 18, 2020Untangling the Galaxy III: Photometric Search for Pre-main Sequence Stars with Deep LearningJul 28, 2021Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with PerceiversApr 12, 2024Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System ModelsOct 2, 2017Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data StreamsApr 1, 2026Probabilistic neural network approach to determining parameters of eclipsing binariesApr 29, 2021Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial NetworksFeb 19, 2020APOGEE Net: Improving the derived spectral parameters for young stars through deep learningJan 10, 2022APOGEE Net: An expanded spectral model of both low mass and high mass starsApr 23, 2023DiffESM: Conditional Emulation of Earth System Models with Diffusion Models