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

• A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
• A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints
• Many equiprojective polytopes
• Mercury: Accelerating DNN Training By Exploiting Input Similarity
• Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
• Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check
• Real-time Path Planning of Driver-less Mining Trains with Time-dependent Physical Constraints
• TAP-Net: Transport-and-Pack using Reinforcement Learning
• ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
• Joint Data Association, NLOS Mitigation, and Clutter Suppression for Networked Device-Free Sensing in 6G Cellular Network
• Effective temperature in approximate quantum many-body states
• Differentiable Factor Graph Optimization for Learning Smoothers
• A Geometrical Method for the Smoluchowski Equation on the Sphere
• A Learning Framework for nn-bit Quantized Neural Networks toward FPGAs
• Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy
• A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems
• Energy-saving sub-optimal sliding mode control with bounded actuation
• Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
• Optical Observations of the Nearby Type Ia Supernova 2021hpr
• Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
• Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization
• Label Contrastive Coding based Graph Neural Network for Graph Classification
• Oscillator strengths and excited-state couplings for double excitations in time-dependent density functional theory
• An Algorithm For Checking Injectivity Of Specialization Maps From Elliptic Surfaces
• On the narrow spectral feature at ∼\sim3 TeV in the MAGIC spectrum of Mrk 501
• Boundary feature fusion network for tooth image segmentation
• Collective inference of the truth of propositions from crowd probability judgments
• Search for exotic neutrino-electron interactions using solar neutrinos in XMASS-I
• Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
• AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling
• MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
• Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
• Differential equations defined by Kreĭn-Feller operators on Riemannian manifolds
• Star formation around three co-moving HAeBe stars in the Cepheus Flare
• Robust training approach of neural networks for fluid flow state estimations
• Mixture Proportion Estimation Beyond Irreducibility
• Attraction tames two-dimensional melting: from continuous to discontinuous transitions
• Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
• Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
• SS-transform in finite free probability
• Ultrafast dynamics in relativistic Mott insulators
• Efficient diffraction control using a tunable active-Raman gain medium
• Couplings of torsional and shear oscillations in a neutron star crust
• Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
• CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution
• An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
• Hypocycloid motion in the Melvin magnetic universe
• GACL: Exemplar-Free Generalized Analytic Continual Learning
• HP-GMN: Graph Memory Networks for Heterophilous Graphs
• Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling