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Review of Low-Voltage Load Forecasting: Methods, Applications, and Recommendations. (arXiv:2106.00006v1 [stat.OT]) arxiv.org/abs/2106.00006

PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. (arXiv:2106.00058v1 [cs.LG]) arxiv.org/abs/2106.00058

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. (arXiv:2106.00072v1 [stat.ML]) arxiv.org/abs/2106.00072

Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference. (arXiv:2106.00075v1 [stat.ML]) arxiv.org/abs/2106.00075

Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective. (arXiv:2106.00092v1 [cs.LG]) arxiv.org/abs/2106.00092

On some properties of the bimodal normal distribution and its bivariate version. (arXiv:2106.00097v1 [math.ST]) arxiv.org/abs/2106.00097

Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. (arXiv:2106.00120v1 [cs.LG]) arxiv.org/abs/2106.00120

Explanations for Monotonic Classifiers. (arXiv:2106.00154v1 [cs.LG]) arxiv.org/abs/2106.00154

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider. (arXiv:2105.14027v1 [hep-ph]) arxiv.org/abs/2105.14027

DeepMoM: Robust Deep Learning With Median-of-Means. (arXiv:2105.14035v1 [stat.ML]) arxiv.org/abs/2105.14035

Bayes-optimal prediction with frequentist coverage control. (arXiv:2105.14045v1 [math.ST]) arxiv.org/abs/2105.14045

Targeted Deep Learning: Framework, Methods, and Applications. (arXiv:2105.14052v1 [cs.LG]) arxiv.org/abs/2105.14052

How much telematics information do insurers need for claim classification?. (arXiv:2105.14055v1 [stat.AP]) arxiv.org/abs/2105.14055

Distribution-free inference for regression: discrete, continuous, and in between. (arXiv:2105.14075v1 [math.ST]) arxiv.org/abs/2105.14075

Gotta Go Fast When Generating Data with Score-Based Models. (arXiv:2105.14080v1 [cs.LG]) arxiv.org/abs/2105.14080

Specification tests for GARCH processes. (arXiv:2105.14081v1 [econ.EM]) arxiv.org/abs/2105.14081

Support vector machines and linear regression coincide with very high-dimensional features. (arXiv:2105.14084v1 [cs.LG]) arxiv.org/abs/2105.14084

Variational Inference for Latent Space Models for Dynamic Networks. (arXiv:2105.14093v1 [stat.ME]) arxiv.org/abs/2105.14093

Comparing Models for Extracting the Backbone of Bipartite Projections. (arXiv:2105.13396v1 [cs.SI]) arxiv.org/abs/2105.13396

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