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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Conversion Results
- Cosmology in Painlevé–Gullstrand coordinates
- W1,pW^{1,p} estimates for Schrödinger equation in the region above a convex graph
- Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
- ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
- A log-log speedup for exponent one-fifth deterministic integer factorisation
- La-MAML: Look-ahead Meta Learning for Continual Learning, ML Reproducibility Challenge 2020
- A novel meta-learning initialization method for physics-informed neural networks
- Short proof of the hypergraph container theorem
- Theoretical Analysis of the Advantage of Deepening Neural Networks
- Computable Stone spaces
- Rogue waves and their patterns for the coupled Fokas-Lenells equations
- A nonlinear semigroup approach to Hamilton-Jacobi equations–revisited
- Mean Field Portfolio Games111We thank the Co-Editor, anonymous Associate Editor, and anonymous referee for many valuable comments and suggestions, which have significantly improved the quality of the paper.
- Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images
- Learning Low Degree Hypergraphs
- Exploration of a new reconstructed structure on GaN(0001) surface by Bayesian optimization
- Artworks Reimagined: Exploring Human-AI Co-Creation through Body Prompting
- On the Robustness, Connectivity and Giant Component Size of Random K-out Graphs
- Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
- DST: Dynamic Substitute Training for Data-free Black-box Attack
- Estimation of the Parameters of Vector Autoregressive (VAR) Time Series Model with Symmetric Stable Noise
- Quantifying and Documenting Inequity in PhD-granting Mathematical Sciences Departments in the United States
- Electronic properties of 2H-stacking bilayer MoS2 measured by terahertz time-domain spectroscopy
- FRACTAL BASINS OF ATTRACTION IN A BINARY QUASAR MODEL
- Nâng cao hiệu quả ước lượng ảnh chiều sâu cho robot lặn kết hợp xử lý ảnh và học máy
- Image simulations for strong and weak gravitational lensing
- Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks
- MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
- Learning Control of Quantum Systems
- Test-time Training for Data-efficient UCDR
- Fast Video Object Segmentation with Temporal Aggregation Network and Dynamic Template Matching
- Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
- The Cauchy Problem for a non Strictly Hyperbolic 3×33\times 3 System of Conservation Laws Arising in Polymer Flooding
- On the moduli spaces of parabolic symplectic/orthogonal bundles on curves
- Model Agnostic Answer Reranking System for Adversarial Question Answering
- Towards User-Focused Cross-Domain Testing: Disentangling Accessibility, Usability, and Fairness
- From local to global asymptotic stabilizability for weakly contractive control systems
- Resonant interaction in chiral, Eshelby-twisted van der Waals atomic layers
- Reconfigurable Intelligent Surfaces: Performance Assessment Through a System-Level Simulator
- TomocuPy: efficient GPU-based tomographic reconstruction with asynchronous data processing
- Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
- Novel Optimization Techniques for Parameter Estimation
- Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
- Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
- Einstein flow with matter sources: stability and convergence
- Gravitational Lensing and Microlensing in Clusters: Clusters as Dark Matter Telescopes
- Online Smoothing for Diffusion Processes Observed with Noise
- Machine Learning architectures for price formation models with common noise
- KM3NeT/ARCA expectations in view of a novel multimessenger study of starburst galaxies
- Electron energization in upstream of collisionless electron/ion shocks produced by interpenetrating plasmas