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.

Submit Your Own Conversion

Do you have a LaTeX document you want to convert? Use our conversion tool to upload your LaTeX file and see it transformed into HTML instantly. Your results will be added to this page for others to explore and learn from.

Please note that conversion content is user-generated and may not have been reviewed for accuracy. If you find any issues or have suggestions for improvements, feel free to contact us.

Conversion Results

• CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
• ViR: the Vision Reservoir
• Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
• Supplementary Materials of Hint-Aug: Drawing Hints from Vision Foundation Models towards Boosted Few-shot Parameter-Efficient ViT Tuning
• Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting Software
• LASSO-Based Multiple-Line Outage Identification In Partially Observable Power Systems
• Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
• DC Current Generation and Power Feature in Strongly Driven Floquet-Bloch Systems
• Time-invariant prefix-free source coding for MIMO LQG control
• The Trusted Edge
• Lightweight Online Separation of the Sound Source of Interest through BLSTM-Based Binary Masking
• Effects of external flow on resonant absorption of coronal loop kink oscillations driven by an external fast wave: Selective excitation problem
• Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
• Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
• AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
• Unconditionally energy stable discontinuous Galerkin schemes for the Cahn-Hilliard equation
• Covariant Chiral Kinetic Equation in Non-Abelian Gauge field from “covariant gradient expansion”
• Explicit Visual Prompts for Visual Object Tracking
• Time-changed Feller’s Brownian motions are birth-death processes
• Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees
• Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
• A magnetic Weyl semimetallic phase in thin films of Eu2Ir2O7
• Inference via robust optimal transportation: theory and methods
• Curriculum Audiovisual Learning
• Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
• Domain Adaptation for Offline Reinforcement Learning with Limited Samples
• Properties of the accretion ring in an X-ray binary, and accretion and excretion two-layer flows from it
• T-PickSeer: Visual Analysis of Taxi Pick-up Point Selection Behavior
• Hardware-Conscious Stream Processing: A Survey
• DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
• Circumventing the Ricci-inverse no-go theorem with complexifiable singularities: a novel dark energy model In memory of Prof. A.Vitturi, for his kind and always helpful soul.
• Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes
• Does the Sastry transition control cavitation in simple liquids?
• Multi-Adversarial Safety Analysis for Autonomous Vehicles
• Application of superalgebra homology groups to distinguish Engel-like structures
• StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-identification
• MVD: A Multi-Lingual Software Vulnerability Detection Framework
• Coarsening of topological defects in 2D polar active matter
• Euclidean Capacitated Vehicle Routing in Random Setting: A 1.551.55-Approximation Algorithm
• Simulation of Graph Algorithms with Looped Transformers
• Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
• RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
• Deep Learning for Community Detection: Progress, Challenges and Opportunities
• ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
• RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
• Asymptotic theory of CC-pseudo-cones111This paper was supported by the NSFC (No. 12371060), the Shaanxi Fundamental Science Research Project for Mathematics and Physics (No. 22JSZ012) and the Excellent Graduate Training Program of SNNU (No. LHRCCX23142).
• Self-Improving Voronoi Construction for a Hidden Mixture of Product Distributions††thanks: Research of Cheng and Wong are supported by Research Grants Council, Hong Kong, China (project no. 16200317).
• SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
• Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches
• Evolution of weights on a connected finite graph