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
- BM UMa: a middle shallow contact binary at pre-transition stage of evolution from W-type to A-type
- The Distribution of Planet Radius in Kepler Multiplanet Systems Depends on Gap Complexity
- Efficient Execution of Quantized Deep Learning Models: A Compiler Approach
- Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
- Generate, Annotate, and Learn: NLP with Synthetic Text
- Comfortability of quantum walks on embedded graphs on surfaces
- Energy-preserving mixed finite element methods for the Hodge wave equation
- Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing
- ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts
- Nonlinear reduced models for state and parameter estimation
- Dual-Update Data-Driven Control of Deformable Mirrors Using Walsh Basis Functions
- Image Search with Text Feedback by Additive Attention Compositional Learning
- Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
- Competing Generalized Wigner Crystal States in Moiré Heterostructures
- TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
- Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
- MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
- Primordial Black Hole Merger Rate in Ellipsoidal-Collapse Dark Matter Halo Models
- An Empirical Analysis on Financial Markets: Insights from the Application of Statistical Physics
- Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
- rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
- DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation
- Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
- Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle “Snow Lion”
- Uydu Görüntülerinden Bina Bölütleme ve Son-İşleme Yöntemlerinin Performansı Building Segmentation on Satellite Images and Performance of Post-Processing Methods
- Shift operators, Cauchy integrals and approximations
- Algorithms for Sparse LPN and LSPN Against Low-noise
- Quantum algorithms for linear and non-linear fractional reaction-diffusion equations
- Entanglement distribution with minimal memory requirements using time-bin photonic qudits
- Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
- Large Arabic Twitter Dataset on COVID-19
- Learning Personal Style from Few Examples
- HI content of massive red spiral galaxies observed by FAST
- SecureBoost+ : Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
- Multi-resolution intra-predictive coding of 3D point cloud attributes
- Explainable and Position-Aware Learning in Digital Pathology
- TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models
- Curves with few bad primes over cyclotomic ℤℓ\mathbb{Z}_{\ell}-extensions
- Proposal for a graphene based nano-electro-mechanical reference piezoresistor
- Iterative two-level algorithm for nonsymmetric or indefinite elliptic problems
- PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing
- Optimal Sparse Recovery with Decision Stumps
- ICASSP 2021 Deep Noise Suppression Challenge
- Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
- Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach
- Explainable Adversarial Attacks on Coarse-to-Fine Classifiers ††thanks: This work was supported by NSF under Awards CCF-2106339 and DMS-2304489, and DARPA under Agreement No. HR0011-24-9-0427.
- DECORE: Deep Compression with Reinforcement Learning
- Jet mixing enhancement with Bayesian optimization, deep learning, and persistent data topology
- A Preliminary Add-on Differential Drive System for MRI-Compatible Prostate Robotic System
- MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
