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

• Contrastive Identification of Covariate Shift in Image Data
• Noise driven current reversal and stabilisation in the tilted ratchet potential subject to tempered stable Lévy noise
• Learning 2D–3D Correspondences To Solve The Blind Perspective-n-Point Problem
• Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
• ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
• On β\beta-Plurality Points in Spatial Voting Games
• Spin-orbital liquid in Ba3CuSb2O9 stabilized by oxygen holes
• Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
• Charge transport through the multiple end zigzag edge states of armchair graphene nanoribbons and heterojunctions
• DiffusionPhase: Motion Diffusion in Frequency Domain
• ADMM for Nonsmooth Composite Optimization under Orthogonality Constraints
• A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
• How to relate potential outcomes: Estimating individual treatment effects under a given specified partial correlation
• Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
• Gravity Dual of Connes Cocycle Flow
• Theory for Non-Fermi Liquid Temperature Dependence in Resistivity of CexLa1-xCu5.62Au0.38 (x=0.02−0.10x=0.02-0.10) on the Local Quantum Valence Criticality of Ce Impurities
• Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
• Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz
• Fairness-aware Model-agnostic Positive and Unlabeled Learning
• Neural Operator: Graph Kernel Network for Partial Differential Equations
• A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
• Polarized Images of Synchrotron Radiations in Curved Spacetime
• Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
• Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks
• TLMCM Network for Medical Image Hierarchical Multi-Label Classification
• Axion sourcing in dense stellar matter via CP-violating couplings
• Tilings of Benzels via the Abacus Bijection
• Waring and cactus ranks and Strong Lefschetz Property for annihilators of symmetric forms
• Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
• Power-engine-load form for dynamic absolute concentration robustness
• Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models
• Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh
• Captured molecules could make a Bose star visible
• Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
• A Faber-Krahn inequality for mixed local and nonlocal operators
• Barrier methods for Minimal Submanifolds in the Gibbons-Hawking Ansatz
• An example derived from Lorenz attractor
• On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing
• Mask Guided Matting via Progressive Refinement Network
• Magnetic properties and superconductivity in the two-dimensional repulsive Hubbard model
• Active Perception and Representation for Robotic Manipulation
• On shortest products for nonnegative matrix mortality
• Cocycle Stability of Linear Automorphisms and their Jointly Integrable Perturbations
• Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition
• Optimization of Adams-type difference formulas in Hilbert space W2(2,1)​(0,1)W_{2}^{(2,1)}(0,1)
• Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing
• Formulations and scalability of neural network surrogates in nonlinear optimization problems
• Extremely Dense Point Correspondences using a Learned Feature Descriptor
• SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
• Dynamic Adaptation Gains for Nonlinear Systems with Unmatched Uncertainties