Key papers

• AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations (2025)
  Chi Zhang et al.
  5.82
• DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design (2025)
  Weizheng Zhang et al.
  5.29
• EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning (2026)
  Przemys{\l}aw Rola
  5.01
• Representing Flow Fields with Divergence-Free Kernels for Reconstruction (2025)
  Xingyu Ni et al.
  4.87
• Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization (2022)
  Ngan Nguyen et al.
  4.52
• Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis (2026)
  Haksoo Lim et al.
  4.39
• Metric-Guided Synthetic Image Data Rendering for Deep Learning compatible with Agentic AI (2026)
  Martina Radoynova et al.
  4.39
• Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration (2025)
  Yi-Tang Chen et al.
  3.70
• Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models (2026)
  Xu Han et al.
  3.51
• Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations (2025)
  Yuan Ni et al.
  3.04
• Mechanisms of Width Scaling in Normalized Residual Networks: The Effective Alignment Dimension (2026)
  Jinhao Zhang et al.
  2.00
• ScaleResfusion: Residual Rectified Flow based on Residual Vector Field (2026)
  Zhenning Shi et al.
  2.00
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  2.00
• Dual-Domain Manifold Modeling for Hyperspectral Image Fusion (2026)
  Chengxin Xie et al.
  2.00
• Multi-Scale Structural Features for Continual, Comprehensible Visual Recognition in a Developmental Learning Framework (2026)
  Zeki Doruk Erden
  2.00
• Parallel Decoding Distillation for Fast Image and Video Generation (2026)
  Neta Shaul et al.
  2.00
• NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics (2026)
  Qizhen Ying et al.
  1.94
• FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation (2026)
  Mingfeng Lin et al.
  1.89
• RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation (2026)
  Yuhao Huang and Shih-Hsin Wang and Andrea L. Bertozzi and Bao Wang
  1.72
• Variational Green's Functions for Volumetric PDEs (2026)
  Joao Teixeira et al.
  1.72
• Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields (2026)
  Tianyu Xiong et al.
  1.72
• Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion (2025)
  Rui Chen et al.
  1.61
• Machine Learning for Scientific Visualization: Ensemble Data Analysis (2025)
  Hamid Gadirov
  1.56
• Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation (2025)
  Abhay Kumar Dwivedi et al.
  1.50
• Learning-based density-equalizing map (2025)
  Yanwen Huang et al.
  1.28
• Dimensionality reduction for homological stability and global structure preservation (2025)
  Alexander Kolpakov et al.
  1.11
• IDLat: An Importance-Driven Latent Generation Method for Scientific Data (2022)
  Jingyi Shen et al.
  —
• HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation (2023)
  Qi Wu et al.
  —
• Directional diffusion models for graph representation learning (2023)
  Run Yang et al.
  —
• Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks (2023)
  Chaoyu Liu et al.
  —
• PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data (2023)
  Jingyi Shen and Han-Wei Shen
  —
• Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces (2024)
  Jiahong Wang et al.
  —
• Denoising Fisher Training For Neural Implicit Samplers (2024)
  Weijian Luo and Wei Deng
  —