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

• Attention Guided Semantic Relationship Parsing for Visual Question Answering
• Causally-Aware Unsupervised Feature Selection Learning
• Monitoring quantum Otto engines
• 𝒩=1{\cal N}=1 conformal duals of gauged EnE_{n} MN models
• Tight-binding model of Pt-based jacutingaites as combination of the honeycomb and kagome lattices
• A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs
• Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
• Penrose junction conditions with Λ\Lambda: Geometric insights into low-regularity metrics for impulsive gravitational waves
• Fermionic Sign Structure of High-order Feynman diagrams in a Many-fermion System
• Characterizing Multipartite Non-Gaussian Entanglement for Three-Mode Spontaneous Parametric Down-Conversion Process
• Variability and the Size-Luminosity Relation of the Intermediate-Mass Active Galactic Nucleus in NGC 4395
• Optimal finite elements for ergodic stochastic two-scale elliptic equations
• Mathematical Analysis of FLASH Effect Models Based on Theoretical Hypotheses
• Kernel Quantization for Efficient Network Compression
• Digital twin, physics-based model, and machine learning applied to damage detection in structures
• Cross-Layer Design for Neuro-Symbolic AI: From Workload Characterization to Hardware Acceleration
• Combinatorial proofs and refinements of three partition theorems of Andrews
• A Quantitative Portrait of Wikipedia’s High-Tempo Collaborations during the 2020 Coronavirus Pandemic
• A Focused Study on Sequence Length for Dialogue Summarization
• Multidimensional Uncertainty-Aware Evidential Neural Networks
• Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog
• The Overlap Gap Property: a Topological Barrier to Optimizing over Random Structures
• GENERALIZATION OF THE KUTTA-JOUKOWSKI THEOREM FOR THE HYDRODYNAMIC FORCES ACTING ON A QUANTIZED VORTEX
• Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference
• A possible 250-second X-ray quasi-periodicity in the fast blue optical transient AT2018cow
• Automated Federated Learning in Mobile Edge Networks — Fast Adaptation and Convergence
• On the Number of Almost Envy-Free Allocations
• A Unifying Approximate Method of Multipliers for Distributed Composite Optimization
• Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
• Leaking Secrets through Modern Branch Predictors in the Speculative World
• DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
• New Hadrons Discovered at BESIII
• Unsupervised quantum machine learning for fraud detection
• Discovering Traveling Companions using Autoencoders
• Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach
• Rationally Inattentive Path-Planning via RRT*
• A Novel Reversible Data Hiding Scheme Based on Asymmetric Numeral Systems
• Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
• A majorized PAM method with subspace correction for low-rank composite factorization model
• Stochastic loss reserving with mixture density neural networks
• Learning to Regrasp by Learning to Place
• Quantum algorithm for position weight matrix matching
• Formal deformations of algebraic spaces and generalizations of the motivic Igusa-zeta function.
• IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
• Hierarchical-Absolute Reciprocity Calibration for Millimeter-wave Hybrid Beamforming Systems
• Experimental observation of anomalous supralinear response of single-photon detectors
• AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
• The equivalence between Stein variational gradient descent and black-box variational inference
• Stock Market Prediction via Deep Learning Techniques: A Survey
• Towards Efficient Neural Scene Graphs by Learning Consistency Fields