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

• Towards fully two-dimensional spintronic devices
• The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation
• Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
• Stellar cycle and evolution of polar spots in an M+WD binary
• Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
• Unveiling the nature of polar-ring galaxies from deep imaging
• Solutions of the equation an+(an−1+⋯(a2+(a1+xr1)r2⋯)rn=bxa_{n}+(a_{n-1}+\cdots(a_{2}+(a_{1}+x^{r_{1}})^{r_{2}}\cdots)^{r_{n}}=b\,x
• On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
• Spiderweb array: A sparse spin-qubit array
• Network Estimation by Mixing: Adaptivity and More ††thanks: Both authors contributed equally to this work.
• 300 GHz wireless link based on an integrated Kerr soliton comb
• MODELING URBAN TRANSPORT CHOICES: INCORPORATING SOCIOCULTURAL ASPECTS
• StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
• Machine learning potentials for complex aqueous systems made simple
• Efficient Encoders for Streaming Sequence Tagging
• Tachyonic media in analogue models of special relativity
• Entropons as collective excitations in active solids
• Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
• A Chandra Survey of z≥4.5z\geq 4.5 Quasars
• Fractional Modeling in Action: A Survey of Nonlocal Models for Subsurface Transport, Turbulent Flows, and Anomalous Materials
• A Novel Audio Representation using Space Filling Curves
• On the Effective Capacity of IRS-assisted Wireless Communication
• Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
• Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
• Electronic polarization in non-Bloch band theory
• ASAM: Boosting Segment Anything Model with Adversarial Tuning
• Digital Sub-millimeter Bubble-Jets
• FEM on nonuniform meshes for nonlocal Laplacian: Semi-analytic Implementation in One Dimension
• The spectra of Laplace operators on covering simplicial complexes
• Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling
• PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems
• HEAT EQUATION ON THE HYPERGRAPH CONTAINING VERTICES WITH GIVEN DATA
• Deconfounded Visual Grounding
• Contrastive Multi-Task Dense Prediction
• CustomizedFinGPT Search Agents Using Foundation Models
• Fully heavy pentaquarks
• Towards quantum 3D imaging devices: the Qu3D project
• A simple quantum simulation algorithm with near-optimal precision scaling
• Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
• Network processes on clique-networks with high average degree: the limited effect of higher-order structure
• Contextual quantum metrology
• Dual Representation Learning for Out-of-distribution Detection
• AN INFORMATION-THEORETIC APPROACH FOR AUTOMATICALLY DETERMINING THE NUMBER OF STATE GROUPS WHEN AGGREGATING MARKOV CHAINS
• Tristar: An Adaptive and Efficient Transaction Isolation Tailor for Database Backend Applications
• Use of Excess Power Method and Convolutional Neural Network in All-Sky Search for Continuous Gravitational Waves
• Maximization of Communication Network Throughput using Dynamic Traffic Allocation Scheme
• A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition
• Solar calibration of the convective mixing length for use with the ÆSOPUS opacities in MESA
• Learning to Coordinate via Multiple Graph Neural Networks
• Flood hazard model calibration using multiresolution model output