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.

Submit Your Own Conversion

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

• Constraint on the relativistic motion of fast radio bursts based on the maximal electric field
• Dirac-harmonic maps with the trivial index
• The category of well-filtered dcpo’s is not Γ\Gamma-faithful
• Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
• Shuffle regularization for multiple Eisenstein series of level N\displaystyle N
• A \DIFdelbegin\DIFdelData Quality Enhancement \DIFdelend\DIFaddbegin\DIFaddData-centric \DIFaddendFramework for Improving \DIFdelbegin\DIFdelendDomain-specific \DIFaddbegin \DIFaddendMachine Reading Comprehension Datasets
• Cosmological perturbation theory using generalized Einstein de Sitter cosmologies
• On The Very Bright Dropouts Selected Using the James Webb Space Telescope NIRCam Instrument
• Data-driven Estimation of the Algebraic Riccati Equation for the Discrete-Time Inverse Linear Quadratic Regulator Problem
• Differential Testing of a Verification Framework for Compiler Optimizations (Experience Paper)
• Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
• Thurston’s Bounded image theorem
• On bi-variate poly-Bernoulli polynomials
• Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework
• Rapid genetic screening with high quality factor metasurfaces
• Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution
• Runge–Kutta methods determined from extended phase space methods for Hamiltonian systems
• QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding ††thanks: This paper has been accepted by the 2024 IEEE Workshop on Signal Processing Systems (SiPS), 153-158. More details at https://ieeexplore.ieee.org/abstract/document/10768221/.
• A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media
• On the electromagnetic couplings in superconducting qubit circuits
• Towards Robust Active Feature Acquisition
• Tuning the topological winding number by rolling up graphene
• Chebyshev expansion of spectral functions using restricted Boltzmann machines
• Repurposing SAM for User-Defined Semantics Aware Segmentation
• Performance and utility trade-off in interpretable sleep staging
• Label Distribution Learning from Logical Label
• Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
• CONFORMAL CIRCLES AND LOCAL DIFFEOMORPHISMS
• High-field transport and hot electron noise in GaAs from first principles: role of two-phonon scattering
• On a continued fraction algorithm in finite extensions of ℚp\mathbb{Q}_{p} and its metrical theory
• The number of distinguishing colorings of a Cartesian product graph
• Critical branching as a pure death process coming down from infinity
• Heat kernel estimates for Dirichlet forms degenerate at the boundary
• Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion
• TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement
• Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
• Invertible disformal transformations with higher derivatives
• Scheduling Optimization Techniques for Neural Network Training
• Efficient Neural Light Fields (ENeLF) for Mobile Devices
• CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
• Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
• Benchmarking NetBASILISK: a Network Security Project for Science
• Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
• A Too-Good-to-be-True Prior to Reduce Shortcut Reliance111Preprint. Under consideration at Pattern Recognition Letters.22footnotemark: 2
• The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision
• Simulating Self-Lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves
• Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
• A Hamiltonian model for the macroscopic Maxwell equations using exterior calculus
• Differentially Private Natural Language Models: Recent Advances and Future Directions
• Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers