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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Do you have a LaTeX document you want to convert? Use our conversion tool to upload your LaTeX file and see it transformed into HTML instantly. Your results will be added to this page for others to explore and learn from.

Please note that conversion content is user-generated and may not have been reviewed for accuracy. If you find any issues or have suggestions for improvements, feel free to contact us.

Conversion Results

• CatGCN: Graph Convolutional Networks with Categorical Node Features
• groupoids derived from the simple elliptic singularities
• Decoherence and thermalization of Unruh-DeWitt detector in arbitrary dimensions
• STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
• Improved Subsampled Randomized Hadamard Transform for Linear SVM
• Black holes: Timing and spectral properties and evolution
• Satellite knots and trivializing bands
• A method for constructing graphs with the same resistance spectrum
• An arbitrary order mixed finite element method with boundary value correction for the Darcy flow on curved domains
• Relativistic Hydrostatic Structure Equations and Analytic Multilayer Stellar Model
• Piano Skills Assessment
• Global Modeling of Nebulae With Particle Growth, Drift, and Evaporation Fronts. III. Redistribution of Refractories and Volatiles
• Calibrated Multivariate Regression with Localized PIT Mappings
• NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
• Observationally constrained accelerating cosmological model with higher power of non-metricity and squared trace
• Constraints on real scalar inflation from preheating of LATTICEEASY
• Label Augmentation for Neural Networks Robustness
• Max Weight Independent Set in sparse graphs with no long claws111Parts of this work appeared in the proceedings of SODA 2021 [1] and STACS 2024 [3]
• Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry
• Fast Reinforcement Learning with Incremental Gaussian Mixture Models
• Vortex pairs and dipoles on closed surfaces
• Partial Wasserstein Covering
• Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound
• Covid-19 Pandemic Data Analysis using Tensor Methods ††thanks: Submitted to the editors December 29, 2022. \fundingThis work was funded by National Science Foundation under Grant No. DMS-1439786 and Grant No. MCB-2126374.
• Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for ‘Green’ 6G Networks
• Direct statistical simulation of Lorenz96 system in model reduction approaches
• Optimal Control of Multi-Agent Systems with Processing Delays
• High-order Fusion Graph Contrastive Learning for Recommendation
• Model BVP Problem for the Helmholtz equation in a nonconvex angle with periodic boundary data
• ON INEQUALITIES BETWEEN UNKNOTTING NUMBERS AND CROSSING NUMBERS OF SPATIAL EMBEDDINGS OF TRIVIALIZABLE GRAPHS AND HANDLEBODY-KNOTS
• Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN
• On the properties of acyclic sign-skew-symmetric cluster algebras
• BigColor: Colorization using a Generative Color Prior for Natural Images
• Strassen’s Matrix Multiplication Algorithm Is Still Faster
• Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
• On the first three minimum Mostar indices of tree-like phenylenes
• Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration ††thanks: This work was supported in part by grants from Hong Kong RGC under the contracts HKU 17204619, 17208920 and 17207621.
• Response Theory Identifies Reaction Coordinates and Explains Critical Phenomena in Noisy Interacting Systems
• Ram Pressure Stripping and ISM disc Truncation : Prediction vs. Observation
• YouTube SFV+HDR Quality Dataset
• Operational Solar Flare Prediction Model Using Deep Flare Net
• Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
• Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
• LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
• Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms††thanks: This research was supported in part by the National Science Foundation through grant DMS-1745654 and DMS-1760374.
• Stochastic loss reserving with mixture density neural networks
• Entropy and stability of hyperbolic manifolds
• A Computer Vision Method for Estimating Velocity from Jumps
• Observations of Energized Electrons in the Martian Magnetosheath
• Quantum Heat Transformers