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
- Selected topics of quantum computing for nuclear physics
- Geometry and topology of closed geodesics complements in the 3-torus
- Conformer LLMs - Convolution Augmented Large Language Models
- Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots
- QED theory of the nuclear recoil with finite size
- Time-Optimal Control Studies for Additional Food provided Prey-Predator Systems involving Holling Type-III and Holling Type-IV Functional Responses
- ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
- WRI-176 PD-1
- Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data
- Capital Asset Pricing Model with Size Factor and Normalizing by Volatility Index
- FUSSL: Fuzzy Uncertain Self Supervised Learning
- Synthetic half-integer magnetic monopole and single-vortex dynamics in spherical Bose-Einstein condensates
- Regret-Guaranteed Safe Switching with Minimum Cost: LQR Setting with Unknown Dynamics
- On the Wasserstein Distance Between kk-Step Probability Measures on Finite Graphs
- ReFormer: Generating Radio Fakes for Data Augmentation
- Determining an unbounded potential for an elliptic equation with a power type nonlinearity
- Physical Pathways for JWST-Observed Supermassive Black Holes in the Early Universe
- Privacy in Machine Learning
- Improved Discretization Analysis for Underdamped Langevin Monte Carlo
- Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
- GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
- Vortex in superconducting thin-film strips of arbitrary width
- GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
- Deep Motion Blind Video Stabilization
- Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
- Asymptotic repetitive threshold of balanced sequences
- Maneuver-Aware Pooling for Vehicle Trajectory Prediction
- Hybrid improper dipolar density wave in NaLaCoWO6
- Giant enhancement of exciton diffusion near an electronic Mott insulator
- The subconvexity problem for Rankin–Selberg and triple product L-functions
- Coincident gauge for static spherical field configurations in symmetric teleparallel gravity
- Covering entropy for types in tracial W∗\mathrm{W}^{*}-algebras
- Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
- DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
- Non-local thermal transport modeling using the thermal distributor
- Minute ventilation measurement using Plethysmographic Imaging and lighting parameters
- Statistical Foundation of Variational Bayes Neural Networks
- Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
- Ensemble Wrapper Subsampling for Deep Modulation Classification
- Comparative Study of Long Document Classification
- Fragment-orbital-dependent spin fluctuations in the single-component molecular conductor [Ni(dmdt)2]
- Higher dimensional integrable deformations of the modified KdV equation
- The Non-triviality of Dynamical Chern-Simons Gravity and the Standard Model
- TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
- Group Steering: Approaches Based on Power Moments
- Detection Feasibility of H2 in Ultra-hot Jupiter Atmospheres
- Robustly Complete Finite-State Abstractions for Verification of Stochastic Systems
- BCD Reward: Behavior and Context-Driven Reward for Deep Reinforcement Learning in Human-AI Coordination
- Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning
- Modeling Cell Type Developmental Trajectory using Multinomial Unbalanced Optimal Transport