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

• Semantic-Aware Local-Global Vision Transformer
• POAR: Towards Open Vocabulary Pedestrian Attribute Recognition
• Online Learning for Recommendations at Grubhub
• A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal
• First constraints on Helium He3+{}^{+}{\rm He}^{3} evolution in z=3−4z=3-4 using the 8.67GHz hyperfine transition
• Entropy Production in Dissipationless Hydrodynamics with an order parameter
• Pauli nonlocality and the nucleon effective mass
• Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
• Mapping Topics in 100,000 Real-life Moral Dilemmas
• The Splashback Mass Function in the Presence of Massive Neutrinos
• Nearly-Optimal Consensus Tolerating Adaptive Omissions: Why is a Lot of Randomness Needed?
• Quantum Information Processing With Integrated Silicon Carbide Photonics
• Spotting structural defects in crystals from the topology of vibrational modes
• Text-to-Image Generation Via Energy-Based CLIP
• Cosmological 21cm line observations to test scenarios of super-Eddington accretion on to black holes being seeds of high-redshifted supermassive black holes
• Diverse Policies Converge in Reward-free Markov Decision Processes
• High-efficiency photoelectric detector based on monolayer black phosphorus PN homojunction
• Superconducting Properties of La(2{}_{2}(Cu1-xNix)5As3O2: A μ\rm\muSR Study
• Spherical volume and spherical Plateau problem
• CP Phases in 2HDM and Effective Potential: A Geometrical View
• Disentangling Drift- and Control- Vector Fields for Interpretable Inference of Control-affine Systems
• Stutter-Solver: End-to-end Multi-lingual Dysfluency Detection
• Measurement of Branching Fractions of Singly Cabibbo-suppressed Decays 𝚲c+→𝚺𝟎​K+\Lambda_{c}^{+}\rightarrow\Sigma^{0}K^{+} and 𝚺+​KS𝟎\Sigma^{+}K_{S}^{0}
• Moiré band theory for M-valley twisted transition metal dichalcogenides
• Prolog for Verification, Analysis and Transformation Tools
• Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
• Sensitivity kernels for inferring Lorentz stresses from normal-mode frequency splittings in the Sun
• Shaping Advice in Deep Reinforcement Learning
• Dynamical non-linear optical response in time-periodic quantum systems
• Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
• Efficient Algorithms for Boundary Defense with Heterogeneous Defenders
• Signed Heights of Knotoids
• Minimum Cost Multicuts for Incorrect Landmark Edge Detection in Pose-graph SLAM
• Limit Cycle Oscillations, response time and the time-dependent solution to the Lotka-Volterra Predator-Prey model
• Bijections for Ranked Tree-Child Networks
• Exploring Global and Local Information for Anomaly Detection with Normal Samples
• A linearized framework and a new benchmark for model selection for fine-tuning
• Ensemble averaged Madelung energies of finite volumes and surfaces
• U-Net with ResNet Backbone for Garment Landmarking Purpose
• Before the Page time: maximum entanglements or the return of the monster?
• t-SOT FNT: streaming multi-talker ASR with text-only domain adaptation capability
• A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
• Coherent one-way quantum conference key agreement based on twin field
• S​O​(2)×S​O​(3)SO(2)\times SO(3)-invariant Ricci solitons and ancient flows on 𝕊4\mathbb{S}^{4}
• Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
• Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
• CnGAN: Generative Adversarial Networks for Cross-network User Preference Generation for Non-overlapped Users
• Realizable Hyperuniform and Nonhyperuniform Particle Configurations with Targeted Spectral Functions via Effective Pair Interactions
• Alternating Minimization for Computed Tomography with Unknown Geometry Parameters.
• Molecular optomechanics in the anharmonic regime: from nonclassical mechanical states to mechanical lasing