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

• A Comparative Study of Self-supervised Speech Representation Based Voice Conversion
• Shape-aware Graph Spectral Learning
• AUTHOR GUIDELINES FOR WASPAA 2021 PROCEEDINGS MANUSCRIPTS
• A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment
• Fluctuation Theorems and Thermodynamic Inequalities for Nonequilibrium Processes Stopped at Stochastic Times
• A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
• HYDEN: Hyperbolic Density Representations for Medical Images and Reports
• When does additional information lead to longer travel time in multi-origin–destination networks?
• Efficient neural supersampling on a novel gaming dataset
• Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
• A Mañé-Manning formula for expanding measures for endomorphisms of ℙk\mathbb{P}^{k}
• Using Restricted Boltzmann Machines to Model Molecular Geometries
• HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
• Yamabe problem in the presence of singular Riemannian Foliations
• An Eigengap Ratio Test for Determining the Number of Communities in Network Data
• Active Exploration for Real-Time Haptic Training
• LaTeX Author Guidelines for CVPR Proceedings
• Least squares estimators for reflected Ornstein–Uhlenbeck processes
• Quantitative injectivity of the Fubini–Study map
• Anosov-Katok constructions for quasi-periodic SL​(2,ℝ)\mathrm{SL}(2,{\mathbb{R}}) cocycles
• Incremental Randomized Smoothing Certification
• A Survey of Multimodal Recommendation
• PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking
• MULTI-LABEL CLASSIFICATION USING LINK PREDICTION
• Electron beam splitting at topological insulator surface states and a proposal for electronic Goos-Hänchen shift measurement
• Existence of smooth solutions to the Landau-Fermi-Dirac equation with Coulomb potential
• COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
• The Local Account of Bell Nonlocality
• On a Functional Definition of Intelligence
• Neolithic stone settlements as locally resonant metasurfaces
• Towards Collective Intelligence in Language Learning Models in Block Worlds
• On the generic degree of two-parameter period mappings
• A Systematic Review of Security in the LoRaWAN Network Protocol
• Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
• Two spectral extremal results for graphs with given order and rank
• Fisher-KPP equation with small data and the extremal process of branching Brownian motion
• Quantum search in a dictionary based on fingerprinting-hashing
• Quantum Hotspots: Mean Fields, Open EFTs, Nonlocality and Decoherence Near Black Holes
• Homotopy Covers of Graphs
• Efficient and effective training of language and graph neural network models
• An Architecture for Distributed Energies Trading in Byzantine-Based Blockchain
• A Study of Twelve Potential Merger Candidate Contact Binary Systems
• A Fuchsian viewpoint on the weak null condition
• A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-Picking
• Partitioning Image Representation in Contrastive Learning
• Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis
• Gradient-based enhancement attacks in biomedical machine learning
• How to Design Autonomous Service Level Agreements for 6G
• Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
• Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data