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

• Collective enhancement in dissipative quantum batteries
• Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
• Domain wall dynamics in the spinor Bose-Einstein condensates
• Non-perturbative analytical diagonalization of Hamiltonians with application to coupling suppression and enhancement in cQED
• Evaporation of black holes in flat space entangled with an auxiliary universe
• AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
• MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
• Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization
• Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
• Network Traffic Analysis based IoT Device Identification
• Bright Star Subtraction Pipeline for LSST: Progress Review
• Patient Aware Active Learning for Fine-Grained OCT Classification
• Defending SVMs Against Poisoning Attacks: The Hardness and DBSCAN Approach
• Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
• Berry-Curvature Exchange Induced Anderson Localization in Large-Chern-Number Quantum Anomalous Hall Effect
• Dynamics of relativistic radio jets in asymmetric environments
• Jailbreaking Attack against Multimodal Large Language Model
• Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
• Constant Acceleration Flow
• Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images
• Physics of liquid crystals in cell biology
• The reflectionless properties of Toeplitz waves and Hankel waves: an analysis via Bessel functions
• Machine learning approach to analyze heavy quark diffusion coefficient in relativistic heavy-ion collisions
• Small scale formations in the incompressible porous media equation
• Double-Signed Fragmented DNSSEC for Countering Quantum Threat
• Autoverse: an Evolvable Game Language for Learning Robust Embodied Agents
• FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
• The Steklov problem and Remainder Estimates for Krein Systems generated by a Muckenhoupt weight
• Anomalous thermal broadening from an infrared catastrophe in two-dimensional quantum antiferromagnets
• The Search for Less Discriminatory Algorithms: Limits and Opportunities
• Resilient Time-Varying Output Formation Tracking of Linear Multi-Agent Systems Against Unbounded FDI Sensor Attacks and Unreliable Digraphs
• SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions
• Efficient Multi-disparity Transformer for Light Field Image Super-resolution
• Semi-Supervised GCN for learning Molecular Structure-Activity Relationships
• PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
• Detecting cognitive decline using speech only: The ADReSSo Challenge
• Mental Health and Sensing
• Generative AI for Space-Air-Ground Integrated Networks
• Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
• A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
• Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
• Bright Type II Supernova 2023ixf in M101: A Quick Analysis of the Early-Stage Spectra and Near-Infrared Light Curves
• A Computational Efficient Maximum Likelihood Direct Position Determination Approach for Multiple Emitters Using Angle and Doppler Measurements
• Pinch-point spectral singularity from the interference of topological loop states
• Learning Performance Maximizing Ensembles with Explainability Guarantees
• The training response law explains how deep neural networks learn
• The physical origin of positive metallicity radial gradients in high-redshift galaxies: insights from the FIRE-2 cosmological hydrodynamic simulations
• Efficient simulation of non-classical liquid-vapour phase-transition flows: a method of fundamental solutions
• On a mixed local-nonlocal evolution equation with singular nonlinearity
• On Comparing Fair Classifiers under Data Bias