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

• Scheduling Optimization Techniques for Neural Network Training
• Efficient Neural Light Fields (ENeLF) for Mobile Devices
• CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
• Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
• Benchmarking NetBASILISK: a Network Security Project for Science
• Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
• A Too-Good-to-be-True Prior to Reduce Shortcut Reliance111Preprint. Under consideration at Pattern Recognition Letters.22footnotemark: 2
• The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision
• Simulating Self-Lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves
• Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
• A Hamiltonian model for the macroscopic Maxwell equations using exterior calculus
• Differentially Private Natural Language Models: Recent Advances and Future Directions
• Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers
• Probabilistic RRT Connect with intermediate goal selection for online planning of autonomous vehicles
• Minimizing Nature’s Cost: Exploring Data-Free Physics-Informed Neural Network Solvers for Fluid Mechanics Applications
• Low-Dissipation Central-Upwind Schemes for Compressible Multifluids
• Universal covering groups of unitary groups of von Neumann algebras
• Causa prima: cosmology meets causal discovery for the first time
• Explainable AI meets Healthcare: A Study on Heart Disease Dataset
• CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks ††thanks: This work is supported in part by NSF-2112471 (AI-EDGE). Symbol ∗ denotes co-primary authors, who have contributed equally to this work.
• Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics
• AdvDrop: Adversarial Attack to DNNs by Dropping Information
• Strategic Pseudo-Goal Perturbation for Deadlock-Free Multi-Agent Navigation in Social Mini-Games
• Author Guidelines for the British Machine Vision Conference 2024
• Data Driven Grapheme-to-Phoneme Representations for a Lexicon-Free Text-to-Speech
• Can near-to-mid infrared spectral energy distribution quantitatively trace protoplanetary disk evolution?
• Answerability Fields: Answerable Location Estimation via Diffusion Models
• “Stop Asian Hate!”: Refining Detection of Anti-Asian Hate Speech during the COVID-19 Pandemic
• \system: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems
• Main signless Laplacian eigenvalues of quasi-threshold graphs
• Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing
• Simultaneous Neural Network Approximation for Smooth Functions
• On the Optimal Bounds for Noisy Computing
• A Survey of Deep Learning and Foundation Models for Time Series Forecasting
• Pandemic Data Quality Modelling: A Bayesian Approach
• A Deforestation of Reducts: Refocusing
• Rheological behaviour and flow dynamics of Vitreous Humour substitutes used in eye surgery during saccadic eye movements
• Effect of Vaccination to COVID-19 Disease Progression
• Learning to Detect Every Thing in an Open World
• A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
• Energy Efficient SDN and SDR Joint Adaptation of CPU Utilization Based on Experimental Data Analytics
• GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning
• Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
• Gi and Pal Scores: Deep Neural Network Generalization Statistics
• Newly detected open clusters in the Galactic disk using Gaia EDR3
• Degree-Similar Graphs
• Collapse of Neutrino Wave Functions under Penrose Gravitational Reduction
• Exploring calibration algorithms to maximize the null depth in KPIC’s vortex fiber nulling mode
• Toward Automatic Group Membership Annotation for Group Fairness Evaluation ††thanks: Supported by Institute for Financial Services Analytics at the University of Delaware
• MLJ Information Sheet for the submission ”Feature Ranking for Semi-supervised Learning”