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

• Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
• Chemical tuning of a honeycomb magnet through a critical point
• Large bubble drives melting in circular DNA
• Towards end-to-end ASP computation
• How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
• Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
• Revisiting Prompt Pretraining of Vision-Language Models
• Entanglement swapping and swapped entanglement
• Simple Modular invariant model for Quark, Lepton, and flavored-QCD axion
• A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
• Massive relativistic compact stars from SU(3) symmetric quark models
• New insight in the 2-flavor Schwinger model based on lattice simulations
• Point Cloud Structural Similarity-based Underwater Sonar Loop Detection
• Compound matrices in systems and control theory
• Simulation of attosecond transient soft X-ray absorption in solids using generalized Kohn-Sham real-time TDDFT
• Gradient Kernel Regression
• The correlation between WISE 12 µm emission and molecular gas tracers on sub-kpc scales in nearby star-forming galaxies
• Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition
• Numerical computation of second order vacuum perturbations of Kerr black holes
• Embedding classical dynamics in a quantum computer
• Empowering Computing and Networks Convergence System with Distributed Cooperative Routing
• Network-Level Adversaries in Federated Learning
• Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs
• Bivariational Principle for an Antisymmetrized Product of Nonorthogonal Geminals Appropriate for Strong Electron Correlation
• Understanding the robustness of deep neural network classifiers for breast cancer screening
• Infinite-dimensional reservoir computing
• DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing
• Combined Machine Learning and Physics-Based Forecaster for Intra-day and 1-Week Ahead Solar Irradiance Forecasting Under Variable Weather Conditions
• Linear Combinatorial Semi-Bandit with Causally Related Rewards
• Estimation problems for some perturbations of the independence copula.
• PRIORITY-BASED POST-PROCESSING BIAS MITIGATION USING UNFAIRNESS QUOTIENT
• Simulating the performance of aperture mask designs for SCALES
• ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation
• Robust Lower Bounds for Graph Problems in the Blackboard Model of Communication
• Optimal Regularity for Fully Nonlinear Nonlocal Equations with Unbounded Source Terms
• Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching
• A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data
• SiamMOT: Siamese Multi-Object Tracking
• Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets
• TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
• A decoupled, stable, and linear FEM for a phase-field model of variable density two-phase incompressible surface flow
• Voice Privacy with Smart Digital Assistants in Educational Settings††thanks: A version of this paper will appear in ITS 2021.
• Enforcing Consistency in Weakly Supervised Semantic Parsing
• Uniqueness of phase retrieval from three measurements
• Dispersive estimates for 1D matrix Schrödinger operators with threshold resonance
• Variational setting for cracked beams and shallow arches
• Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
• LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
• Maximum Correntropy Ensemble Kalman Filter
• Incremental Object Grounding Using Scene Graphs