Papers
Fri 18 Jul 2025
252 papers
- VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific VisualizationLLM agents and tool use → Multimodal and embodied agents
- Reinforcement learning in pursuit-evasion differential game: safety, stability and robustnessDeep reinforcement learning methods → Safe and constrained RL
- Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory AutomationLLM agents and tool use → Web, search, and research agents
- ADEPTS: A Capability Framework for Human-Centered Agent DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM BenchmarkMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- The Recursive Coherence Principle: A Formal Constraint on Scalable Intelligence, Alignment, and Reasoning ArchitectureLLM reasoning → Reasoning benchmarks and evaluation
- Fail Fast, or Ask: Mitigating the Deficiencies of Reasoning LLMs with Human-in-the-Loop Systems EngineeringLLM reasoning → Test-time compute and efficient thinking
- Adaptive Multi-Agent Reasoning via Automated Workflow GenerationLLM reasoning → Reasoning for agents, planning and code +1
- Influence Functions for Preference Dataset PruningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- ProofCompass: Enhancing Specialized Provers with LLM GuidanceLLM reasoning → Mathematical reasoning
- CLIPTTA: Robust Contrastive Vision-Language Test-Time AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic StudyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Age of Information Minimization in UAV-Enabled Integrated Sensing and Communication SystemsDeep reinforcement learning methods → RL for robot navigation and UAV control
- In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- A Simple "Try Again" Can Elicit Multi-Turn LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- WebGuard: Building a Generalizable Guardrail for Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- DREAMS: Density Functional Theory Based Research Engine for Agentic Materials SimulationLLM agents and tool use → Medical and scientific domain agents
- Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- VLA-Mark: A cross modal watermark for large vision-language alignment modelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Preference-based Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- EdgeVLA: Efficient Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Training-free Token Reduction for Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones +1
- Architecting Human-AI Cocreation for Technical Services -- Interaction Modes and Contingency FactorsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Moodifier: MLLM-Enhanced Emotion-Driven Image EditingMultimodal LLMs / vision-language models → Multimodal emotion understanding
- ParallelTime: Dynamically Weighting the Balance of Short- and Long-Term Temporal DependenciesState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- CSD-VAR: Content-Style Decomposition in Visual Autoregressive ModelsDiffusion models → Image generation, text-to-image and editing
- Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We NeedLLM reasoning → Clinical and biomedical applications
- DiViD: Disentangled Video Diffusion for Static-Dynamic FactorizationDiffusion models → Video generation
- Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning ProblemDeep reinforcement learning methods → Deep RL algorithms and representations
- Safety Certification in the Latent space using Control Barrier Functions and World ModelsWorld models → Latent dynamics models and model-based RL
- When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- InTraVisTo: Inside Transformer Visualisation ToolLLM reasoning → Reasoning benchmarks and evaluation
- Scalable Submodular Policy Optimization via Pruned Submodularity GraphDeep reinforcement learning methods → RL theory and sample complexity
- CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding EducationLLM agents and tool use → Software engineering coding agents
- GRAM-MAMBA: Holistic Feature Alignment for Wireless Perception with Adaptive Low-Rank CompensationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and GuidanceDiffusion models → Inverse problems and image restoration
- Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual QuestionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning Spectral Diffusion Prior for Hyperspectral Image ReconstructionDiffusion models → Inverse problems and image restoration
- Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM FrameworkLLM agents and tool use → Multimodal and embodied agents
- SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data PreparationDeep reinforcement learning methods → RL training of language and agent models
- PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt RefinementDiffusion models → Image generation, text-to-image and editing
- TopicAttack: An Indirect Prompt Injection Attack via Topic TransitionLLM safety and security → Prompt injection and agent security
- LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn DialoguesEfficient LLM inference and serving → KV cache optimization
- CoTasks: Chain-of-Thought based Video Instruction Tuning TasksLLM reasoning → Multimodal reasoning
- Efficient Burst Super-Resolution with One-step DiffusionDiffusion models → Inverse problems and image restoration
- Learning Deblurring Texture Prior from Unpaired Data with Diffusion ModelDiffusion models → Inverse problems and image restoration
- GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retentionDiffusion models → Robustness, privacy and adversarial aspects
- FuSeFL: Fully Secure and Scalable Federated LearningLLM safety and security → Federated unlearning and poisoning
- Understanding Human Daily Experience Through Continuous Sensing: ETRI Lifelog Dataset 2024
- Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators
- Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service
- Rethinking Graph-Based Document Classification: Learning Data-Driven Structures Beyond Heuristic Approaches
- Agent Network Protocol Technical White Paper
- Large Language Models in the Travel Domain: An Industrial Experience
- Leveraging Generative AI to Enhance Synthea Module Development
- Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation
- Intent-Aware Schema Generation And Refinement For Literature Review Tables
- Exoplanet Detection Using Machine Learning Models Trained on Synthetic Light Curves
- Physics-informed transfer learning for SHM via feature selection
- Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction
- BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
- A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
- Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks
- XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
- Quantum-Cognitive Tunnelling Neural Networks for Military-Civilian Vehicle Classification and Sentiment Analysis
- Segmentation-free Goodness of Pronunciation
- Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications
- Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
- Assessing the Reliability of Large Language Models for Deductive Qualitative Coding: A Comparative Study of ChatGPT Interventions
- A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
- Classification of Histopathology Slides with Persistent Homology Convolutions
- Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
- Error-Aware Curriculum Learning for Biomedical Relation Classification
- Text-to-SQL for Enterprise Data Analytics
- DUSTrack: Semi-automated point tracking in ultrasound videos
- Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
- Can LLMs Infer Personality from Real World Conversations?
- Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers
- A Reproducibility Study of Product-side Fairness in Bundle Recommendation
- MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
- Topological Social Choice: Designing a Noise-Robust Polar Distance for Persistence Diagrams
- Fiduciary AI for the Future of Brain-Technology Interactions
- Language Models as Ontology Encoders
- Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries
- Rethinking Individual Fairness in Deepfake Detection
- FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning
- A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
- What Makes You CLIC: Detection of Croatian Clickbait Headlines
- Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
- How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs
- Manimator: Transforming Research Papers into Visual Explanations
- Semantic Segmentation based Scene Understanding in Autonomous Vehicles
- A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials
- LOVO: Efficient Complex Object Query in Large-Scale Video Datasets
- NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images
- MiDeSeC: A Dataset for Mitosis Detection and Segmentation in Breast Cancer Histopathology Images
- APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation
- Fitting Generalized Power Diagrams to 3D Image Data: A Prerequisite for Virtual Materials Testing
All 252
- Bridging MOOCs, Smart Teaching, and AI-Assisted Learning: A Unified Quantitative Model
- Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts
- FAMST: Fast Approximate Minimum Spanning Tree Construction for Large-Scale and High-Dimensional Data
- Hyper-spectral Unmixing algorithms for remote compositional surface mapping: a review of the state of the art
- Linearized Diffusion Map
- Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models
- Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack
- Curriculum-guided multimodal representation learning enables generalizable prediction of nanomaterial-protein interactions
- Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
- Toward Temporal Causal Representation Learning with Tensor Decomposition
- Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
- NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
- Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
- An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
- Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition Assessment
- UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography
- Generative AI-Driven High-Fidelity Human Motion Simulation
- Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track
- C-DOG: Multi-View Multi-instance Feature Association Using Connected δ-Overlap Graphs
- Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration
- The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?
- Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection
- DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
- Glucose-ML: A collection of longitudinal diabetes datasets for development of robust AI solutions
- Edge Intelligence with Spiking Neural Networks
- Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
- Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
- Dynamic gain neuromodulation attenuates the stability gap under joint training
- Foundation Models as Class-Incremental Learners for Dermatological Image Classification
- D2IP: Deep Dynamic Image Prior for 3D Time-sequence Pulmonary Impedance Imaging
- Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks
- A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems
- DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis
- KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models
- QuantEIT: Ultra-Lightweight Quantum-Assisted Inference for Chest Electrical Impedance Tomography
- Conformalized Regression for Continuous Bounded Outcomes
- CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
- Byzantine-resilient federated online learning for Gaussian process regression
- Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
- Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model
- Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations
- On the Fundamental Limitations of Dual Static CVaR Decompositions in Markov Decision Processes
- Photonic Fabric Platform for AI Accelerators
- OrthoInsight: Rib Fracture Diagnosis and Report Generation Based on Multi-Modal Large Models
- Structural Connectome Harmonization Using Deep Learning: The Strength of Graph Neural Networks
- DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation
- Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset
- Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic
- Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images
- A Segmented Robot Grasping Perception Neural Network for Edge AI
- Signs of the Past, Patterns of the Present: On the Automatic Classification of Old Babylonian Cuneiform Signs
- Towards Constraint Temporal Answer Set Programming
- DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation
- Cross-modal Causal Intervention for Alzheimer's Disease Prediction
- Robust Anomaly Detection with Graph Neural Networks using Controllability
- MoDyGAN: Combining Molecular Dynamics With GANs to Investigate Protein Conformational Space
- Exploiting Primacy Effect To Improve Large Language Models
- Frozen Forecasting: A Unified Evaluation
- Shared representations in brains and models reveal a two-route cortical organization during scene perception
- Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
- Preprint: Poster: Did I Just Browse A Website Written by LLMs?
- TimeNeRF: Building Generalizable Neural Radiance Fields across Time from Few-Shot Input Views
- The Levers of Political Persuasion with Conversational AI
- Blind Super Resolution with Reference Images and Implicit Degradation Representation
- Political Leaning and Politicalness Classification of Texts
- Self-supervised learning on gene expression data
- Deep Micro Solvers for Rough-Wall Stokes Flow in a Heterogeneous Multiscale Method
- Software architecture and manual for novel versatile CT image analysis toolbox -- AnatomyArchive
- Enhancing LiDAR Point Features with Foundation Model Priors for 3D Object Detection
- PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations
- A Survey of Dimension Estimation Methods
- Using LLMs to identify features of personal and professional skills in an open-response situational judgment test
- Real-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
- Optimizing ASR for Catalan-Spanish Code-Switching: A Comparative Analysis of Methodologies
- Geometry of Knowledge Allows Extending Diversity Boundaries of Large Language Models
- Label Unification for Cross-Dataset Generalization in Cybersecurity NER
- PositionIC: Unified Position and Identity Consistency for Image Customization
- SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
- Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation
- A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data
- Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments
- The Challenge and Reward of Fair Play in Narrative: A Computational Approach
- The Expressions of Depression and Anxiety in Chinese Psycho-counseling: Usage of First-person Singular Pronoun and Negative Emotional Words
- Conformal Data Contamination Tests for In-distribution Data Acquisition
- Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
- Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models
- When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction
- RAG-based Architectures for Drug Side Effect Retrieval in LLMs
- Team of One: Cracking Complex Video QA with Model Synergy
- SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing
- On-the-Fly Fine-Tuning of Foundational Neural Network Potentials: A Bayesian Neural Network Approach
- Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database
- One Step Closer: Creating the Future to Boost Monocular Semantic Scene Completion
- An Enhanced Model-based Approach for Short Text Clustering
- Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI
- Converting T1-weighted MRI from 3T to 7T quality using deep learning
- SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering
- Feature Engineering is Not Dead: Reviving Classical Machine Learning with Entropy, HOG, and LBP Feature Fusion for Image Classification
- From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning
- Dual-Center Graph Clustering with Neighbor Distribution
- MolPIF: A Parameter Interpolation Flow Model for Molecule Generation
- OntView: What you See is What you Meant
- Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis
- PRIDE -- Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMs
- Search-Optimized Quantization in Biomedical Ontology Alignment
- SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification
- Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning
- DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs
- An End-to-End DNN Inference Framework for the SpiNNaker2 Neuromorphic MPSoC
- The Judge Variable: Challenging Judge-Agnostic Legal Judgment Prediction
- Adversarial Training Improves Generalization Under Distribution Shifts in Bird Sound Classification
- Point of Interest Recommendation: Pitfalls and Viable Solutions
- Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box
- Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
- Augmented Reality in Cultural Heritage: A Dual-Model Pipeline for 3D Artwork Reconstruction
- Bi-GRU Based Deception Detection using EEG Signals
- Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
- LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
- Learning Deformable Body Interactions With Adaptive Spatial Tokenization
- GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
- Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
- A study of EHVI vs fixed scalarization for molecule design
- Binarizing Physics-Inspired GNNs for Combinatorial Optimization
- Tight Bounds for Answering Adaptively Chosen Concentrated Queries
- Gaussian kernel-based motion measurement
- Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
- HeCoFuse: Cross-Modal Complementary V2X Cooperative Perception with Heterogeneous Sensors
- MaskHOI: Robust 3D Hand-Object Interaction Estimation via Masked Pre-training
- KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs
- Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration
- When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework
- CU-ICU: Customizing Unsupervised Instruction-Finetuned Language Models for ICU Datasets via Text-to-Text Transfer Transformer
- Combining model tracing and constraint-based modeling for multistep strategy diagnoses
- Buggy rule diagnosis for combined steps through final answer evaluation in stepwise tasks
- EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation
- Improved particle swarm optimization algorithm: multi-target trajectory optimization for swarm drones
- A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
- Differential Privacy in Kernelized Contextual Bandits via Random Projections
- State Space Models Naturally Produce Time Cell and Oscillatory Behaviors and Scale to Abstract Cognitive Functions
- Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
- Moving Object Detection from Moving Camera Using Focus of Expansion Likelihood and Segmentation
- Bridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety
- FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
- Tri-Learn Graph Fusion Network for Attributed Graph Clustering
- Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters
- Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
- Off-Policy Evaluation and Learning for Matching Markets
- BreastSegNet: Multi-label Segmentation of Breast MRI
- Improving Low-Cost Teleoperation: Augmenting GELLO with Force
- NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
- TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting