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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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.

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Conversion Results

• Data-driven control of nonlinear systems from input-output data*
• End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation
• MTE with Misspecification††thanks: We thank Vitor Possebom, Yixiao Sun, Kaspar Wuthrich, and seminar participants at UC San Diego for helpful comments. All remaining errors are ours.
• Modeling measurements for quantitative imaging subsurface targets ††thanks: This work was supported by the AFOSR Grant FA9550-24-1-0191. A. D. Kim also acknowledges support by NSF Grant DMS-1840265.
• Reservoir Computing with 3D Nanowire Networks
• Mapping poverty at multiple geographical scales
• Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
• A SMART RECYCLING BIN USING WASTE IMAGE CLASSIFICATION AT THE EDGE
• MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
• Submission and Formatting Instructions for International Conference on Machine Learning (ICML 2024)
• Role of bias and tunneling asymmetries in nonlinear Fermi-liquid transport through an SU(NN) quantum dot
• Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
• BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
• NOEMA Observations of CO Emission in Arp 142 and Arp 238
• EgoNCE++: Do Egocentric Video-Language Models Really Understand Hand-Object Interactions?
• Investigation on the Spatiotemporal Structures of Supra-Arcade Spikes
• Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images
• Atoms as Words: A Novel Approach to Deciphering Material Properties using NLP-inspired Machine Learning on Crystallographic Information Files (CIFs).
• 3SD: Self-Supervised Saliency Detection With No Labels
• Veltman, renormalizability, calculability
• Designing for Projection-based Communication between Autonomous Vehicles and Pedestrians
• Involution Matrix Loci and Orbit Harmonics
• Photoassociation spectroscopy of weakly bound R87​b2{}^{87}Rb_{2} molecules near 5​P1/2+5​S1/25P_{1/2}+5S_{1/2} threshold by optical Bragg scattering in Bose-Einstein condensates
• An approach to hummed-tune and song sequences matching
• Fractional quantum Hall effect at ν=2+4/9\nu=2+4/9
• Discovery of the Relativistic Schrödinger equation
• Iterative Edit-Based Unsupervised Sentence Simplification
• Transient Formation of Loops in the Core of an Active Region
• Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
• AUTHOR GUIDELINES FOR ICASSP 2021 PROCEEDINGS MANUSCRIPTS
• From Predictions to Decisions: The Importance of Joint Predictive Distributions
• InvVis: Large-Scale Data Embedding for Invertible Visualization
• Quantum Measurement Adversary
• Double-mode RR Lyrae star — robust distance and metallicity indicators
• Local analysis of fast magnetic reconnection
• A note on graph burning of path forests
• SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet
• Robust Approximate Simulation for Hierarchical Control of Piecewise Affine Systems under Bounded Disturbances
• On weight and variance uncertainty in neural networks for regression tasks
• On normal numbers and self-similar measures
• Phasic Diversity Optimization for Population-Based Reinforcement Learning
• Empowering Segmentation Ability to Multi-modal Large Language Models
• Which Kind Is Better in Open-domain Multi-turn Dialog, Hierarchical or Non-hierarchical Models? An Empirical Study
• Diffusion metamaterials for plasma transport
• On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels
• Exploring and Analyzing Wildland Fire Data via Machine Learning Techniques
• Federated Learning with Instance-Dependent Noisy Label
• CsV3Sb5: a ℤ2\mathbb{Z}_{2} topological kagome metal with a superconducting ground state
• Towards Automated Machine Learning Research
• An approach to implement Reinforcement Learning for Heterogeneous Vehicular Networks