Showing 21–39 of 39 results
/ Date/ Name
Mar 18, 2026Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated NoiseSep 6, 2023Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural NetworksJun 1, 2021Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine LearningMay 20, 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolutionJun 28, 2025A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic PotentialsJul 21, 2025Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoderOct 5, 2024Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node FeaturesNov 5, 2024Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer TherapyMay 20, 2025Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local LossesJan 30, 2024Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional DataJan 3, 2023Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation responseMar 14, 2022Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental DesignOct 5, 2021Adaptive Group Testing with Mismatched ModelsSep 23, 2021Optimal Decision Making in High-Throughput Virtual Screening PipelinesDec 2, 2024Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance SamplingDec 10, 2024Epidemiological Model Calibration via Graybox Bayesian OptimizationMar 1, 2022Multi-Objective Latent Space Optimization of Generative Molecular Design ModelsJun 27, 2025Cost-effective Reduced-Order Modeling via Bayesian Active LearningSep 15, 2023Current and future directions in network biology