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

• High order conservative schemes for the generalized Benjamin-Ono equation in the unbounded domain
• The maximal subgroups of the Monster
• Sensitivity tests of cosmic velocity fields to massive neutrinos
• The origin channels of hierarchical binary black hole mergers in the LIGO-Virgo-KAGRA O1, O2, and O3 runs
• Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network
• Algebraic Approximation of Cohen-Macaulay Algebras
• Phase Diagram and Snap-Off Transition for Twisted Party Balloons
• Boundary conditions of general black hole perturbations
• Batch Sequential Adaptive Designs for Global Optimization
• Dynamic Prediction of Full-Ocean Depth SSP by Hierarchical LSTM: An Experimental Result
• Streaming Bilingual End-to-End ASR model using Attention over multiple softmax
• Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
• Can a Machine Feel Vibrations?: A Framework for Vibrotactile Sensation and Emotion Prediction via a Neural Network
• Learning DFAs from Confidence Oracles
• Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning
• Nonparametric Inference for Balance in Signed Networks
• Surface and curvature properties of charged strangelets in compact objects
• A virtually 2-step nilpotent group with polynomial geodesic growth
• A Decomposition-Based Approach for Evaluating Inter-Annotator Disagreement in Narrative Analysis
• WER–BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm
• Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
• Algebraic approach to stability results for Erdős-Ko-Rado theorem
• Mapping the Timescale Organization of Neural Language Models
• SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
• Numerical Ergodicity of Stochastic Allen–Cahn Equation driven by Multiplicative White Noise
• Quantum combinatorial designs and kk-uniform states
• On Friedman’s Property
• ReMamba: Equip Mamba with Effective Long-Sequence Modeling
• Classifying Cancer Stage with Open-Source Clinical Large Language Models* *Note: This manuscript has been accepted to the IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024).
• A proof of a trace formula by Richard Melrose
• Measurement-based quantum computation utilizing the graph states of Bose-Einstein condensates and continuous variables
• Human-centric Spatio-Temporal Video Grounding via the Combination of Mutual Matching Network and TubeDETR
• Cherenkov Wakefield Radiation from an Open End of a Three-Layer Dielectric Capillary
• Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
• MassMIND: Massachusetts Maritime INfrared Dataset
• Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
• It’s COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
• Exposing Bias in Online Communities through Large-Scale Language Models
• One-time Pad Encryption Model for Non-local Correlations
• Application-Driven AI Paradigm for Person Counting in Various Scenarios
• A note on graph burning of path forests
• SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
• Variations in the Radius Distribution of Single- and Compact Multiple-transiting Planets
• Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles††thanks: Work supported by NSF CCF grants 2007527 and 2007754.
• Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
• Improved bound on the number of cycle sets
• Derived categories of Quot schemes of locally free quotients via categorified Hall products
• Effective Virtual Reality Teleoperation of an Upper-body Humanoid with Modified Task Jacobians and Relaxed Barrier Functions for Self-Collision Avoidance
• Error Diffusion Halftoning Against Adversarial Examples
• Breaking the 𝒪​(n)\mathcal{O}(n)-Barrier in the Construction of Compressed Suffix Arrays and Suffix Trees