Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN. (arXiv:2005.09634v1 [cs.CV]) http://arxiv.org/abs/2005.09634
A Statistical Model for Imaging Systems. (arXiv:2005.09644v1 [eess.IV]) http://arxiv.org/abs/2005.09644
Exponential ergodicity of mirror-Langevin diffusions. (arXiv:2005.09669v1 [math.ST]) http://arxiv.org/abs/2005.09669
Neural Collaborative Filtering vs. Matrix Factorization Revisited. (arXiv:2005.09683v1 [cs.IR]) http://arxiv.org/abs/2005.09683
A Toolbox for the Radial and Angular Marginalization of Bivariate Normal Distributions. (arXiv:2005.09696v1 [stat.ME]) http://arxiv.org/abs/2005.09696
Sum of Three Cubes via Optimisation. (arXiv:2005.09710v1 [math.NT]) http://arxiv.org/abs/2005.09710
Inference on the Change Point in High Dimensional Dynamic Graphical Models. (arXiv:2005.09711v1 [math.ST]) http://arxiv.org/abs/2005.09711
Treatment recommendation with distributional targets. (arXiv:2005.09717v1 [econ.EM]) http://arxiv.org/abs/2005.09717
Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment. (arXiv:2005.09738v1 [stat.ME]) http://arxiv.org/abs/2005.09738
On a family of discrete log-symmetric distributions. (arXiv:2005.09744v1 [stat.ME]) http://arxiv.org/abs/2005.09744
Achieving Online Regression Performance of LSTMs with Simple RNNs. (arXiv:2005.08948v1 [cs.LG]) http://arxiv.org/abs/2005.08948
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions. (arXiv:2005.08968v1 [q-bio.BM]) http://arxiv.org/abs/2005.08968
B-CONCORD -- A scalable Bayesian high-dimensional precision matrix estimation procedure. (arXiv:2005.09017v1 [stat.ME]) http://arxiv.org/abs/2005.09017
On the number of bins in a rank histogram. (arXiv:2005.09018v1 [stat.AP]) http://arxiv.org/abs/2005.09018
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. (arXiv:2005.09020v1 [cs.LG]) http://arxiv.org/abs/2005.09020
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty. (arXiv:2005.09021v1 [cs.LG]) http://arxiv.org/abs/2005.09021
Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data. (arXiv:2005.09024v1 [stat.AP]) http://arxiv.org/abs/2005.09024
Effective Learning of a GMRF Mixture Model. (arXiv:2005.09030v1 [cs.LG]) http://arxiv.org/abs/2005.09030
Optimal survival trees ensemble. (arXiv:2005.09043v1 [stat.AP]) http://arxiv.org/abs/2005.09043
Learning and Inference in Imaginary Noise Models. (arXiv:2005.09047v1 [stat.ML]) http://arxiv.org/abs/2005.09047
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