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

• Exploring Wavelet Transformations for Deep Learning-based Machine Condition Diagnosis ††thanks: This study is supported by ASTI-GAA Project MaSense of DOST-ASTI.
• Boundary distribution estimation for precise object detection
• Predicting the Encoding Error of SIRENs
• Cell Population Growth Kinetics in the Presence of Stochastic Heterogeneity of Cell Phenotype
• Nuclear Schiff Moments and CP Violation
• Influence of spherical anisotropy on optical mass sensing in a molecular-plasmonic optomechanical system
• Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI
• Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
• Diverse Concept Proposals for Concept Bottleneck Models
• AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity
• Supplemental Information for “Chemical herding as a multiplicative factor for top-down manipulation of colloids ”
• Probing Neutrino Dipole Portal at COHERENT Experiment
• Enriching Wikidata with Linked Open Data
• ShellCore: Defeating IoT Malware through in-depth Analysis and Detection of IoT Shell Code
• Freehand Sketch Generation from Mechanical Components
• Fast multivariate empirical cumulative distribution function with connection to kernel density estimation
• Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation WARNING: This paper contains model outputs which are offensive in nature.
• Monomial Operators
• Shape of 𝐂𝟏𝟑{}^{\bf 13}{\bf C} studied by the real-time evolution method
• Magnetic domain wall dynamics under external electric field in bilayer CrI3
• ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
• A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
• The Weighted Euler Characteristic Transform for Image Shape Classification
• GaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis
• The proportion of monogenic orders of prime power indices of the pure cubic field
• Gradient Flow Decoding for LDPC Codes
• The Cosmic Web Crystal: Ising model for Large Scale Structures
• Energy-Efficient Trajectory Design for UAV-Enabled Communication Under Malicious Jamming
• Learning Nonlinearity of Boolean Functions – An Experimentation with Neural Networks
• Rethinking Network Pruning— under the Pre-train and Fine-tune Paradigm
• Evaluating the Adversarial Robustness of Detection Transformers
• Bayesian Logarithmic Derivative Type Lower Bounds for Quantum Estimation ††thanks: This work was supported in part by JSPS KAKENHI Grant Numbers JP21K11749, JP24K14816.
• Mirror constructions for K3 surfaces from bimodal singularities
• Multimodal Latent Diffusion Model for Complex Sewing Pattern Generation
• Beating the break-even point with a discrete-variable-encoded logical qubit
• Spatially resolved study of the SS 433/W50 west region with Chandra: X-ray structure and spectral variation of non-thermal emission
• On the training of sparse and dense deep neural networks: less parameters, same performance.
• Rapidly decaying Wigner functions are Schwartz functions
• UADB: Unsupervised Anomaly Detection Booster ††thanks: *The two authors contributed equally to this work. †\daggerCorresponding authors.
• Bayesian Regret Minimization in Offline Bandits
• A generic unitary black-hole evaporation model based on first principles
• A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
• Network Traffic Analysis based IoT Device Identification
• The Cosmological Black Hole
• Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach111Emails: mennahass@aucegypt.edu (MH), n.sakr@columbia.edu (NS), charpentier.arthur@uqam.ca (AC)
• A robust version of the multipartite Hajnal–Szemerédi theorem
• How Do Axisymmetric Black Holes Grow Monopole and Dipole Hair?
• Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
• Towards Trustable Skin Cancer Diagnosis via Rewriting Model’s Decision
• Orbital maneuvers for a space probe around Titania