arXiv Statistics @arxiv_stats@qoto.org

Generating new concepts with hybrid neuro-symbolic models. (arXiv:2003.08978v1 [cs.LG]) http://arxiv.org/abs/2003.08978

Metric learning: cross-entropy vs. pairwise losses. (arXiv:2003.08983v1 [cs.LG]) http://arxiv.org/abs/2003.08983

Homeostasis phenomenon in predictive inference when using a wrong learning model: a tale of random split of data into training and test sets. (arXiv:2003.08989v1 [math.ST]) http://arxiv.org/abs/2003.08989

Statistical Indicators of the Scientific Publications Importance: a Stochastic Model and Critical Look. (arXiv:2003.08991v1 [math.PR]) http://arxiv.org/abs/2003.08991

Analysing the causal effect of London cycle superhighways on traffic congestion. (arXiv:2003.08993v1 [stat.AP]) http://arxiv.org/abs/2003.08993

Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders. (arXiv:2003.08996v1 [cs.LG]) http://arxiv.org/abs/2003.08996

A Rule Based Expert System to Assess Coronary Artery Disease under Uncertainty. (arXiv:2003.09002v1 [q-bio.QM]) http://arxiv.org/abs/2003.09002

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. (arXiv:2003.08414v1 [cs.LG]) http://arxiv.org/abs/2003.08414

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. (arXiv:2003.08420v1 [cs.LG]) http://arxiv.org/abs/2003.08420

Experimental Design under Network Interference. (arXiv:2003.08421v1 [econ.EM]) http://arxiv.org/abs/2003.08421

Causal Simulation Experiments: Lessons from Bias Amplification. (arXiv:2003.08449v1 [stat.ME]) http://arxiv.org/abs/2003.08449

Train, Learn, Expand, Repeat. (arXiv:2003.08469v1 [cs.LG]) http://arxiv.org/abs/2003.08469

TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. (arXiv:2003.08474v1 [eess.SP]) http://arxiv.org/abs/2003.08474

Self-Supervised Contextual Bandits in Computer Vision. (arXiv:2003.08485v1 [cs.CV]) http://arxiv.org/abs/2003.08485

Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths. (arXiv:2003.08494v1 [cs.LG]) http://arxiv.org/abs/2003.08494

Predicting Performance of Asynchronous Differentially-Private Learning. (arXiv:2003.08500v1 [cs.LG]) http://arxiv.org/abs/2003.08500

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking. (arXiv:2003.08533v1 [stat.ML]) http://arxiv.org/abs/2003.08533

Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems. (arXiv:2003.07859v1 [cs.CR]) http://arxiv.org/abs/2003.07859

NISE Estimation of an Economic Model of Crime. (arXiv:2003.07860v1 [econ.GN]) http://arxiv.org/abs/2003.07860

On Symmetrized Pearson's Type Test in Autoregression with Outliers: Robust Testing of Normality. (arXiv:2003.07878v1 [math.ST]) http://arxiv.org/abs/2003.07878