arXiv Statistics @arxiv_stats@qoto.org

The Surprising Power of Graph Neural Networks with Random Node Initialization. (arXiv:2010.01179v1 [cs.LG]) http://arxiv.org/abs/2010.01179

Deep FPF: Gain function approximation in high-dimensional setting. (arXiv:2010.01183v1 [cs.LG]) http://arxiv.org/abs/2010.01183

Covariate Shift Adaptation in High-Dimensional and Divergent Distributions. (arXiv:2010.01184v1 [stat.ML]) http://arxiv.org/abs/2010.01184

Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. (arXiv:2010.01185v1 [cs.IT]) http://arxiv.org/abs/2010.01185

Neighbourhood Distillation: On the benefits of non end-to-end distillation. (arXiv:2010.01189v1 [cs.LG]) http://arxiv.org/abs/2010.01189

Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network. (arXiv:2010.01197v1 [q-fin.ST]) http://arxiv.org/abs/2010.01197

$f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning. (arXiv:2010.01207v1 [cs.LG]) http://arxiv.org/abs/2010.01207

Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces. (arXiv:2010.00636v1 [cs.LG]) http://arxiv.org/abs/2010.00636

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. (arXiv:2010.00654v1 [cs.LG]) http://arxiv.org/abs/2010.00654

Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey. (arXiv:2010.00661v1 [cs.CR]) http://arxiv.org/abs/2010.00661

Implicit Rank-Minimizing Autoencoder. (arXiv:2010.00679v1 [cs.LG]) http://arxiv.org/abs/2010.00679

Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure. (arXiv:2010.00692v1 [stat.ME]) http://arxiv.org/abs/2010.00692

Performance Analysis and Optimization of NOMA with HARQ for Short Packet Communications in Massive IoT. (arXiv:2010.00708v1 [eess.SP]) http://arxiv.org/abs/2010.00708

Faster Binary Embeddings for Preserving Euclidean Distances. (arXiv:2010.00712v1 [cs.IT]) http://arxiv.org/abs/2010.00712

When to Impute? Imputation before and during cross-validation. (arXiv:2010.00718v1 [stat.ML]) http://arxiv.org/abs/2010.00718

Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library. (arXiv:2010.00724v1 [cs.MS]) http://arxiv.org/abs/2010.00724

Individual-centered partial information in social networks. (arXiv:2010.00729v1 [stat.ME]) http://arxiv.org/abs/2010.00729

RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. (arXiv:2010.00029v1 [cs.LG]) http://arxiv.org/abs/2010.00029

Sampling possible reconstructions of undersampled acquisitions in MR imaging. (arXiv:2010.00042v1 [eess.IV]) http://arxiv.org/abs/2010.00042

Non-parametric regression for networks. (arXiv:2010.00050v1 [stat.ME]) http://arxiv.org/abs/2010.00050