Showing 1–20 of 26 results
/ Date/ Name
Jan 7, 2025Evaluating Image Caption via Cycle-consistent Text-to-Image GenerationAug 5, 20206VecLM: Language Modeling in Vector Space for IPv6 Target GenerationApr 20, 2022SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention NetworkJul 2, 2024LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisSep 24, 2025BioBO: Biology-informed Bayesian Optimization for Perturbation DesignJan 24, 2019Learning Global Pairwise Interactions with Bayesian Neural NetworksApr 20, 2022A Comprehensive Study of Accelerating IPv6 DeploymentApr 21, 20226GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement LearningMay 16, 2024Harmonizing Generalization and Personalization in Federated Prompt LearningApr 5, 2025TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic RepresentationFeb 24, 2020Informative Bayesian Neural Network Priors for Weak SignalsJan 31, 2022Deconfounded Representation Similarity for Comparison of Neural NetworksOct 31, 2017Correlations and Clustering in Wholesale Electricity MarketsJul 4, 2022Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approachApr 20, 20226GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target GenerationJan 11, 2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model SystemsJun 25, 2024Enabling Regional Explainability by Automatic and Model-agnostic Rule ExtractionMar 6, 2025InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network InferenceMay 28, 2025Geometric Hyena Networks for Large-scale Equivariant LearningNov 5, 2025Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models