Sandbox
Welcome to the Sandbox! This page serves as a repository for various LaTeX to HTML conversion results. Below, you will find links to the conversion results submitted by anonymous users. Each link below corresponds to a specific LaTeX document that has been transformed into HTML format. Feel free to browse through these examples to see how different LaTeX documents have been transformed into HTML. These conversions showcase the versatility and capability of our conversion tool in handling diverse LaTeX inputs.
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Conversion Results
- Scalable Neural Data Server: A Data Recommender for Transfer Learning
- Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
- A Portable and Stealthy Inaudible Voice Attack Based on Acoustic Metamaterials
- One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild
- Quintessential Axions from a New Confining Force
- Covariant Hamilton-Jacobi Equation for Pure Gravity
- Some Remarks on Isoparametric Functions in Closed 4-Manifolds
- Improving Knowledge Distillation with Teacher’s Explanation
- Conformal optimization of eigenvalues on surfaces with symmetries
- Near-video frame rate quantum sensing using Hong-Ou-Mandel interferometry
- Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error
- Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
- Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
- Generative Multi-Form Bayesian Optimization
- On the Modulus in Matching Vector Codes
- MULTI-COLOR AND TESS PHOTOMETRIC INVESTIGATION OF FOUR LOW MASS-RATIO CONTACT BINARY SYSTEMS
- Large Deviations in One-Dimensional Random Sequential Adsorption
- New First-Order Algorithms for Stochastic Variational Inequalities
- Tail Asymptotics in any direction of the stationary distribution in a two-dimensional discrete-time QBD process
- Analysis of Temperature-to-Polarization Leakage in BICEP3 and Keck CMB Data from 2016 to 2018
- Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC
- LATex: Leveraging Attribute-based Text Knowledge for Aerial-Ground Person Re-Identification
- Double machine learning to estimate the effects of multiple treatments and their interactions
- (k,q)(k,q)-core decomposition of hypergraphs
- BFT Protocol Forensics
- A Topological Drive for Spacetime Travel
- Automatic Scene-based Topic Channel Construction System for E-Commerce
- On the extremal spectral properties of random graphs
- Time Optimal Qubit Computer
- Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
- Dividing Conflicting Items Fairly
- A Physical Model for the Quasar Luminosity Function evolution between Cosmic Dawn and High Noon
- Analysis of the 𝜸𝒏→𝑲+𝚺−(𝟏𝟑𝟖𝟓)\gamma n\to K^{+}\Sigma^{-}(1385) photoproduction
- Senescence, change, and competition: when the desire to pick one model harms our understanding
- Constructing equivalence bimodules between noncommutative solenoids: a two-pronged approach
- Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead
- Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
- Learning Neural Acoustic Fields
- Paraproducts for bilinear multipliers associated with convex sets
- Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
- On the existence of minimally tough graphs having large minimum degrees
- Fairness-Oriented Multiple RIS-Aided mmWave Transmission: Stochastic Optimization Methods
- Singing Voice Synthesis Based on a Musical Note Position-aware Attention Mechanism
- Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation
- Prototyping and Experimental Results for Environment-Aware Millimeter Wave Beam Alignment via Channel Knowledge Map
- Local Jacquet–Langlands correspondence for regular supercuspidal representations
- A Subjective Quality Evaluation of 3D Mesh with Dynamic Level of Detail in Virtual Reality
- Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
- FeDXL: Provable Federated Learning for Deep X-Risk Optimization
- Unbiased and Efficient Self-Supervised Incremental Contrastive Learning