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

• Revisiting the Robust Generalization of Adversarial Prompt Tuning
• SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention
• Investigation of the Relationship Between Localization Accuracy and Sensor Array
• Revisiting Document Representations for Large-Scale Zero-Shot Learning
• Federated Learning: Issues in Medical Application
• Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition
• Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
• Verification and Parameter Synthesis for Real-Time Programs using Refinement of Trace Abstraction111A preliminary version of this work appeared in [13].
• Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
• End-to-End Lyapunov-Based Eclipse-Feasible Low-Thrust Transfer Trajectories to NRHO
• Search for an axion-like particle in radiative J/ψJ/\psi decays
• Galclaim: A tool to identify host galaxy of astrophysical transient sources
• Numerical schemes for reconstructing profiles of moving sources in (time-fractional) evolution equations
• Optimal Deterministic Group Testing Algorithms to Estimate the Number of Defectives
• Generic triviality of automorphism groups of complete intersections
• A Survey of Deep Learning Techniques for Dynamic Branch Prediction
• Methods for Accelerating Geospatial Data Processing Using Quantum Computers
• Fleet Size and Spill for UAM Operation under Uncertain Demand ††thanks: *This research was funded by Supernal, grant number 052838-002.
• Arithmetic Kei Theory
• Reputation-Driven Peer-to-Peer Live Streaming Architecture for Preventing Free-Riding
• Tight Bounds on the Effective Complex Permittivity of Isotropic Composites and Related Problems
• AI-Driven Stylization of 3D Environments
• MultiEarth 2022 Deforestation Challenge - ForestGump
• Generative Software Engineering
• On the Euler characteristics for quandles
• A new method for binary classification of proteins with Machine Learning
• Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
• Monotone operator methods for a class of nonlocal multi-phase variable exponent problems
• Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
• Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters
• Continuous-variable pairwise entanglement based on optoelectromechanical system
• Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions
• Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images
• Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
• On the vanishing of twisted LL-functions of elliptic curves over rational function fields
• TräumerAI: Dreaming Music with StyleGAN
• On Sparsity in Overparametrised Shallow ReLU Networks
• Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
• A Deep Reinforcement Learning Blind AI in DareFightingICE
• Mixing it Right: A Comparison of Sampling Strategies to Create a Benchmark for Dialectal Sentiment Classification of Google Place Reviews
• Sub-Feller Semigroups Generated by Pseudodifferential Operators on Symmetric Spaces of Noncompact Type
• Hitting Times for Continuous-Time Imprecise-Markov Chains
• A Physiological-Model-Based Neural Network Framework for Blood Pressure Estimation from Photoplethysmography Signals
• Posterior Convergence of Nonparametric Binary and Poisson Regression Under Possible Misspecifications
• Smoothed Concordance-Assisted Learning for Optimal Treatment Decision in High Dimensional Data
• Inconsistency-Based Data-Centric Active Open-Set Annotation
• Improving the Robustness to Data Inconsistency between Training and Testing for Code Completion by Hierarchical Language Model
• Functional quantization of rough volatility and applications to volatility derivatives
• Replication Study and Benchmarking of Real-Time Object Detection Models
• High Performance W-stacking for Imaging Radio Astronomy Data: a Parallel and Accelerated Solution