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Deep Learning for SciVis
[VIS’26] FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles
[VIS’26] A Few-Shot Learning Framework for Time-Varying Scientific Data Generation via Conditional Diffusion Model
[VIS’26] A Study of Data Augmentation for Learning-Driven Scientific Visualization
[VIS’26] VQ-ANR: Attention Neural Representation with Vector Quantization for Time-Varying Ensemble Data Exploration
[VIS’26] EnsembleNGP: Exploring Time-Varying Ensemble Data via Parameter and Spatial Space Decomposition
[VIS’26] From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data
[VIS’26] Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization using Reconstruction Neural Networks
[VIS’26] ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
[VIS’26] Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality
[TVCG’26] Label-aware Gaussian Splatting for Medical Volume Visualization in Mixed Reality
[PacificVis’26] FLUID: A Neural Operator-based Framework for Learning Multi-Fidelity of Unstructured Data
[PacificVis’26] Volume Encoding Gaussians: Transfer Function-Agnostic 3D Gaussians for Volume Rendering
[EuroVis’26] Volume Data Reconstruction and Uncertainty Quantification in an Implicit Neural Representation via Multi-Task Learning
Uncertainty/Ensemble Visualization and Analysis
[VIS’26] Coherent Visualization of 2D Scalar Field Contour Ensembles With Probabilistic Latent Space Modeling
[VIS’26] MAGIC: Marching Cubes Isosurface Uncertainty Visualization for Gaussian Uncertain Data with Spatial Correlation
[VIS’26] Seeing Through the Forecast Clutter: Communicating Climate Forecast Distributions with Weighted Multiple Forecast Visualizations
[VIS’26] Mixed Uncertainty in One View: Co-Visualizing Statistical Variability and Qualitative Confidence
[VIS’26] A General Approach to Visualizing Uncertainty in Statistical Graphics
[TVCG’26] LoGCC: Local-to-Global Correlation Clustering for Scalar Field Ensembles
[PacificVis’26] Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events
[PacificVis’26] Probabilistic Inclusion Depth for Fuzzy Contour Ensemble Visualization
[PacificVis’26] REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization
[PacificVis’26] Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Decision Making
[EuroVis’26] QVis: Query-based Visual Analysis of Multiscale Patterns in Spatiotemporal Ensembles
[EuroVis’26] Glyph-Based Multiscale Visualization of Turbulent Multi-Physics Statistics
Topology-based Analysis & Scientific Data Reduction
[VIS’26] Topological Analysis of Kernel Density Estimates via Uncertainty-Aware Morse Complexes and Coresets
[VIS’26] Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression
[VIS’26] EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed and GPU-Parallel Lossy Compression
[VIS’26] FZ-VIS: A Visual Analytics Framework for Quantities-of-Interest-Aware Scientific Lossy Compression
[VIS’26] Robust Barycenters of Persistence Diagrams
[VIS’26] Region-Aware Wasserstein Distances of Persistence Diagrams and Merge Trees
[VIS’26] Spatio-Temporal Kernel Density Estimation for Streaming Time-Varying Data
[TVCG’26] Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
[TVCG’26] Distributed Topological Data Analysis of Tetrahedral Meshes With Apache Spark
[PacificVis’26] A Topology-Preserving Coreset for Kernel Regression in Scientific Visualization
[EuroVis’26] Geometry-Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications
[EuroVis’26] Time-varying Extremum Graphs
[EuroVis’26] TT4D: Tensor-Train-based 4D Time-Dependent Volume Rendering
XAI for Science Deep Learning Models
[VIS’26] Probe-Driven Visual Analytics for Diagnosing and Enhancing Physical Knowledge in Air Quality Forecasting Models
[VIS’26] SigTime: Learning and Visually Explaining Time Series Signatures
[TVCG’26] ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
[TVCG’26] PeCE: A Visual Analytics Paradigm for Enhancing Counterfactual Explanations
[EuroVis’26] Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
LLM/Agent x Vis
[VIS’26] SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
[VIS’26] HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
[VIS’26] VACP: Visual Analytics Context Protocol
[VIS’26] Automatic Transfer Function Design via MLLM-Assisted 2D Semantic Decomposition
[VIS’26] UrbanTrace: LLM-Assisted Discovery and Semantics-Aware Integration of Spatial Data
[VIS’26] Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations
[VIS’26] Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Exploration, Explanation, and Verification Agents
[VIS’26] VizPilot: Automated Onboarding for SVG-based Composite Visualizations using Multimodal LLMs
[TVCG’26] Exploring Multimodal Prompt for Visualization Authoring With Large Language Models
[TVCG’26] Disentangling Visual and Factual Correctness in LVLMs’ Visualization Literacy
[TVCG’26] VisTR: Visualizations as Representations for Time-Series Table Reasoning
[PacificVis’26] From Static to Interactive: Authoring Interactive Visualizations via Natural Language
[PacificVis’26] Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement
[PacificVis’26] StoryLensEdu: Personalized Learning Report Generation through Narrative-Driven Multi-Agent Systems
[EuroVis’26] Can LLMs Simulate Target Users in Visualization Case Studies?
Others (VA, EducationVis, GeoVis, etc.)
[VIS’26] A Task-Driven Framework for Multiscale Ocean Flow Dynamics through Integrated Simulation and Visualization
[VIS’26] Visibility Optimization for Direct and Indirect Volume Rendering using Level Set Propagation
[VIS’26] Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation
[VIS’26] “Listening to the City, Seeing the Planet”: Integrating Environmental Complaints and AlphaEarth for Multi-Scale Visual Analytics
[VIS’26] ForestVis: Visualization of 3D Forestry Point Clouds
[VIS’26] Read, Critique, or Sketch? Investigating Alternative Visualization Literacy Assessment Modalities
[TVCG’26] The Influence of Between- and Within-Map Lightness Variation on Decision Making With Hazard Maps
[TVCG’26] DrainScope: Visual Analytics of Urban Drainage System
[TVCG’26] GeoAuthor: Linking Text and Visualization for Geographic Article Authoring
[TVCG’26] VizQStudio: Iterative Visualization Literacy MCQs Design With Simulated Students
[TVCG’26] Expanding Access to Science Participation: A FAIR Framework for Petascale Data Visualization and Analytics
[TVCG’26] Generating Coherent Visualization Sequences for Multivariate Data by Causal Graph Traversal
[TVCG’26] Trajectory Vorticity - Computation and Visualization of Rotational Trajectory Behavior in an Objective Way
[EuroVis’26] A Scalable System for Visual Analysis of Ocean Data
[EuroVis’26] Engagement vs. Understanding: Comparing Immersive Virtual Reality and Desktop Displays for Climate Data Visualization
[EuroVis’26] The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality
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