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

• AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
• Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
• Constraining the Presence of Companion Planets in Hot Jupiter Planetary System Using TTV Observation from TESS
• Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
• Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
• Making a prototype of Seoul historical sites chatbot using Langchain
• Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
• Leveraging phone-level linguistic-acoustic similarity for utterance-level pronunciation scoring
• Dbar dressing method to nonlinear Schrödinger equation with nonzero boundary conditions
• Block Markov Chains on Trees
• Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning
• Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence
• The deep composition of Uranus and Neptune from in situ exploration and thermochemical modeling
• Seed-to-Seed: Image Translation in Diffusion Seed Space
• Systematics in Asteroseismic Modelling: Application of a Correlated Noise Model for Oscillation Frequencies
• QUACK: Quantum Aligned Centroid Kernel
• Helioseismological determination of the subsurface spatial spectrum of solar convection: Demonstration using numerical simulations
• Determining the Hubble Constant with AGN-assisted Black Hole Mergers
• A method to find approximate solutions of first order systems of non-linear ordinary equations.
• Detecting Out-of-distribution Objects Using Neuron Activation Patterns
• Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation Perspective
• A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators
• Appendix: Gamma-ray flares from the jet of the blazar CTA 102 in 2016–2018
• Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks
• Locality-Sensitive Experience Replay for Online Recommendation
• Symmetric generalized Heckman models
• Automatic catalog of RR Lyrae from ∼\sim14 million VVV light curves: How far can we go with traditional machine-learning?
• Extrinsic Curvature and Conformal Gauss-Bonnet for Four-Manifolds with Corner
• Permutation-Invariant Tabular Data Synthesis
• IJCAI–PRICAI–20 Example on typesetting multiple authors
• Learning Latent Traits for Simulated Cooperative Driving Tasks
• Detecting ionized bubbles around luminous sources during the reionization era using HI 21-cm signal
• PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
• SIGGesture: Generalized Co-Speech Gesture Synthesis via Semantic Injection with Large-Scale Pre-Training Diffusion Models
• A Risk-Ratio-Based Marginal Sensitivity Model for Causal Effects in Observational Studies
• TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio
• Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold’?
• First-principles theory of direct-gap optical emission in hexagonal Ge and its enhancement via strain engineering
• Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
• Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
• Production of axion-like particles via vector boson fusion at future electron-positron colliders
• A Sharp Fourier Inequality and the Epanechnikov Kernel
• Cross-Layer Distillation with Semantic Calibration
• A Distributed Scalable Cross-chain State Channel Scheme Based on Recursive State Synchronization
• Language Cognition and Language Computation – Human and Machine Language Understanding111This paper is originally written in Chinese and published in SCIENTIA SINICA Informationis. Here we translate it into English with an extension of recent work.
• Search for variability in Newton’s constant using local gravitational acceleration measurements
• The steady state of the inclined problem
• Uncertainty Quantification in Continual Open-World Learning
• Symmetric teleparallel geometries
• Frobenius distributions of low dimensional abelian varieties over finite fields