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
- Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
- Transmit Optimization for Multi-functional MIMO Systems Integrating Sensing, Communication, and Powering
- Denoising-Aware Contrastive Learning for Noisy Time Series
- Joint Featurewise Weighting and Lobal Structure Learning for Multi-view Subspace Clustering
- Analysis of Vehicular Safety Messaging in Cellular Networks
- Robustness of controlled Hamiltonian approaches to unitary quantum gates
- Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
- Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia
- Balance Divergence for Knowledge Distillation
- HooliGAN: Robust, High Quality Neural Vocoding
- Surface Reconstruction from Point Clouds: A Survey and a Benchmark
- Long-Range Repulsion Between Chromosomes in Mammalian Oocyte Spindles
- Uncovering Gender Bias within Journalist-Politician Interaction in Indian Twitter
- How to describe collective decay of uncoupled modes in the input-output formalism
- Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction
- Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance
- Optimal Control Studies on Age Structural Modeling of COVID-19 in Presence of Saturated Medical Treatment of Holling Type III
- Random-gate-voltage induced Al’tshuler-Aronov-Spivak effect in topological edge states
- Nematic fluctuations in the non-superconducting iron pnictide BaFe1.9-xNi0.1CrxAs2
- A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
- Anomalous Induced Density of Supercritical Coulomb Impurities in Graphene Under Strong Magnetic Fields
- Dust Accretion onto Exoplanets
- Equilibrium shapes and floatability of static and vertically vibrated heavy liquid drops on the surface of a lighter fluid
- Asymptotic pseudodifferential calculus and the rescaled bundle
- Automatic Map Generation for Autonomous Driving System Testing
- A Dual Iterative Refinement Method for Non-rigid Shape Matching
- Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
- Large-scale turbulent driving regulates star formation in high-redshift gas-rich galaxies
- A time-modulated Hawkes process to model the spread of COVID-19 and the impact of countermeasures111The simulation code and data used in this work are available under GPL v3 on GitHub: https://github.com/michelegaretto/covid.git
- Exact theory for the Rezzolla-Zhidenko metric and self-consistent calculation of quasinormal modes
- Thermonuclear 17O(nn,γ\gamma)18O reaction rate and its astrophysical implications
- Multi-stage image denoising with the wavelet transform
- TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
- HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets
- Off-Belief Learning
- Efficient discovery of multiple minimum action pathways using Gaussian process
- Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
- Homotopy types of gauge groups of PU(p)\mathrm{PU}(p)-bundles over spheres
- Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism
- PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis
- Far from equilibrium dynamics of tracer particles embedded in a growing multicellular spheroid
- PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning
- Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
- Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
- Detecting structured sources in noisy images via Minkowski maps
- Electronic Correlation Effects on Stabilizing a Perfect Kagome Lattice and Ferromagnetic Fluctuation in LaRu3Si2
- Observation of interaction-induced mobility edge in a disordered atomic wire
- Underwater Image Quality Assessment: A Perceptual Framework Guided by Physical Imaging
- Rethinking the role of normalization and residual blocks for spiking neural networks
- Different coalescence sources of light nuclei production in Au-Au collisions at sNN=3\sqrt{s_{NN}}=3 GeV