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

• Deep Learning without Weight Symmetry
• Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β\beta-VAE
• Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
• Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
• Understanding Players’ Interaction Patterns with Mobile Game App UI via Visualizations
• MedJEx: A Medical Jargon Extraction Model with Wiki’s Hyperlink Span and Contextualized Masked Language Model Score
• Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation
• Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
• Automation of Application-level Caching in a Seamless Way
• Proposed Fermi-surface reservoir-engineering and application to realizing unconventional Fermi superfluids in a driven-dissipative non-equilibrium Fermi gas
• Graph Neural Networks with Learnable Structural and Positional Representations
• Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
• Engineering the Cost Function of a Variational Quantum Algorithm for Implementation on Near-Term Devices
• Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
• Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
• Constraining Primordial Black Hole Fraction at the Galactic Centre using radio observational data
• Trace-Distance based End-to-End Entanglement Fidelity with Information Preservation in Quantum Networks
• AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
• Hitchin map for the moduli space of Λ\Lambda-modules in positive characteristic
• Equivalence between validity of the pp-Poincaré inequality and finiteness of the strict pp-capacitary inradius.
• scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data
• Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
• Bosonic fractional quantum Hall conductance in shaken honeycomb optical lattices without flat bands
• Quaternion-based machine learning on topological quantum systems
• Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
• On the regularity of optimal potentials in control problems governed by elliptic equations
• Efficient Diversity-Driven Ensemble for Deep Neural Networks
• A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors
• Translating Workflow Nets to Process Trees: An Algorithmic Approach
• Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization
• On Multiple-Antenna Techniques for Physical-Layer Range Security in the Terahertz Band
• Analysing Guarantees in Australian Senate Outcomes
• Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
• Topological charge pumping in excitonic insulators
• Configuration-interaction approach to nuclear fission
• Presented at Physics Beyond Relativity 2019 conference Prague, Czech Republic, October 20, 2019 (invited presentation) Logical Analysis of Relativity Theory
• Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization
• Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
• A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
• Audio Content Analysis
• FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
• Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
• Micro Energy-Water-Hydrogen Nexus: Data-driven Real-time Optimal Operation ††thanks: This work is supported by U.S. National Science Foundation under Award CBET#2124849.
• A Lagrangian Dual-based Theory-guided Deep Neural Network
• Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
• Hadronic decays of Higgs boson at NNLO matched with parton shower
• Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
• Dynamic Regret for Online Composite Optimization
• Spin liquid behavior of a three-dimensional magnetic system Ba3NiIr2O9 with SS = 1
• Computer-assisted proofs of Hopf bubbles and degenerate Hopf bifurcations