Showing 1–19 of 19 results
/ Date/ Name
Dec 8, 2020Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data VisualizationMar 20, 2021Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesApr 22, 2022SegDiscover: Visual Concept Discovery via Unsupervised Semantic SegmentationDec 19, 2024Dimension Reduction with Locally Adjusted GraphsMar 10, 2023Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) InferenceJan 30, 2025Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM SystemsNov 24, 2024Navigating the Effect of Parametrization for Dimensionality ReductionFeb 3, 2015Large-angle quasi-self-collimation effect in a rod-type photonic crystalSep 22, 2019Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep LearningJan 19, 2025DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided QuantizationJan 23, 2022Metasurface-dressed two-dimensional on-chip waveguide for free-space light field manipulationJan 14, 2011Blow up solutions to a viscoelastic fluid system and a coupled Navier-Stokes/Phase-Field system in R^2May 21, 2018Variational based Mixed Noise Removal with CNN Deep Learning RegularizationMar 19, 2021Broadband Polarization-Independent Achromatic Metalenses with Unintuitively-Designed Random-Shaped Meta-AtomsApr 1, 2026The Rashomon Effect for Visualizing High-Dimensional DataDec 16, 2010Vanishing viscosity limit for a coupled Navier-Stokes/Allen-Cahn systemJun 6, 2018A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial RegularizationNov 18, 2025It's LIT! Reliability-Optimized LLMs with Inspectable ToolsOct 14, 2025Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development