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
- The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing
- MuLan: A Joint Embedding of Music Audio and Natural Language
- DNN2LR: Automatic Feature Crossing for Credit Scoring
- Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
- Constraining energy-momentum-squared gravity by binary pulsar observations
- Scattering for critical radial Neumann waves outside a ball
- Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
- A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
- Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
- Twist polynomials of delta-matroids
- Fluctuation-response theorem for Kullback-Leibler divergences to quantify causation
- Perceptual Quality Assessment of Colored 3D Point Clouds
- Sensing Performance of Cooperative Joint Sensing-Communication UAV Network
- Port-Hamiltonian systems and monotonicity
- New upper bounds for spherical codes and packings
- Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
- Optimizing Scalable Targeted Marketing Policies with Constraints
- Video Summarization Overview
- DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
- Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
- Few-Shot Continual Learning via Flat-to-Wide Approaches
- Social Cost of Carbon: What Do the Numbers Really Mean?
- Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
- Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
- Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
- Quantum Theory of Wave Scattering from Electromagnetic Time Interfaces
- Poster: Committee Moderation on Encrypted Messaging Platforms††thanks: This work was supported by NSF grant 1814753.
- RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
- Hyperspectral imaging for dynamic thin film interferometry
- Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis
- Generic nondegeneracy for solutions of the Allen-Cahn equation under a volume constraint in closed manifolds
- Analog Gated Recurrent Neural Network for Detecting Chewing Events
- Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
- Supplementary Materials for “Slicing-free Inverse Regression in High-Dimensional Sufficient Dimension Reduction”
- PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection
- Low-Mass dark matter (in)direct detection with inelastic scattering
- Sequence-to-Sequence Contrastive Learning for Text Recognition
- Parameter estimation and long-range dependence of the fractional binomial process
- Gaussian and Bootstrap Approximations for Suprema of Empirical Processes
- Variational Leakage: The Role of Information Complexity in Privacy Leakage
- Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability
- Electromagnetic evanescent field associated with surface acoustic wave: Response of metallic thin films
- Kernel-Distance-Based Covariate Balancing
- 2-dimensional Shephard groups
- Computational predictions of hydrogen-assisted fatigue crack growth
- Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
- Double-Private Distributed Estimation Algorithm Using Differential Privacy and a Key-Like Proportionate Matrix with Its Performance Analysis
- Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse
- A Data-driven Hierarchical Control Structure for Systems with Uncertainty
- Large deviations for backward stochastic differential equations driven by GG-Brownian motion