arXiv Statistics @arxiv_stats@qoto.org

Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. (arXiv:1911.10241v1 [q-bio.QM]) http://arxiv.org/abs/1911.10241

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. (arXiv:1911.10244v1 [cs.LG]) http://arxiv.org/abs/1911.10244

Non-parametric targeted Bayesian estimation of class proportions in unlabeled data. (arXiv:1911.10246v1 [stat.ME]) http://arxiv.org/abs/1911.10246

3rd-order Spectral Representation Method: Part II -- Ergodic Multi-variate random processes with fast Fourier transform. (arXiv:1911.10251v1 [math.ST]) http://arxiv.org/abs/1911.10251

Bounding Singular Values of Convolution Layers. (arXiv:1911.10258v1 [cs.LG]) http://arxiv.org/abs/1911.10258

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. (arXiv:1911.10273v1 [cs.LG]) http://arxiv.org/abs/1911.10273

Training Modern Deep Neural Networks for Memory-Fault Robustness. (arXiv:1911.10287v1 [cs.LG]) http://arxiv.org/abs/1911.10287

On comparison of estimators for proportional error nonlinear regression models in the limit of small measurement error. (arXiv:1911.09680v1 [math.ST]) http://arxiv.org/abs/1911.09680

Parallelising MCMC via Random Forests. (arXiv:1911.09698v1 [stat.CO]) http://arxiv.org/abs/1911.09698

A Unified Framework for Lifelong Learning in Deep Neural Networks. (arXiv:1911.09704v1 [cs.LG]) http://arxiv.org/abs/1911.09704

Local Spectral Clustering of Density Upper Level Sets. (arXiv:1911.09714v1 [math.ST]) http://arxiv.org/abs/1911.09714

Communication-Efficient and Byzantine-Robust Distributed Learning. (arXiv:1911.09721v1 [cs.LG]) http://arxiv.org/abs/1911.09721

EvAn: Neuromorphic Event-based Anomaly Detection. (arXiv:1911.09722v1 [stat.ML]) http://arxiv.org/abs/1911.09722

Information-Theoretic Confidence Bounds for Reinforcement Learning. (arXiv:1911.09724v1 [stat.ML]) http://arxiv.org/abs/1911.09724

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. (arXiv:1911.09737v1 [cs.LG]) http://arxiv.org/abs/1911.09737

Controlling False Discovery Rate Using Gaussian Mirrors. (arXiv:1911.09761v1 [stat.ME]) http://arxiv.org/abs/1911.09761

Mixture survival models methodology: an application to cancer immunotherapy assessment in clinical trials. (arXiv:1911.09765v1 [stat.AP]) http://arxiv.org/abs/1911.09765

Iterative Peptide Modeling With Active Learning And Meta-Learning. (arXiv:1911.09103v1 [q-bio.BM]) http://arxiv.org/abs/1911.09103

On Universal Features for High-Dimensional Learning and Inference. (arXiv:1911.09105v1 [cs.LG]) http://arxiv.org/abs/1911.09105

OmniFold: A Method to Simultaneously Unfold All Observables. (arXiv:1911.09107v1 [hep-ph]) http://arxiv.org/abs/1911.09107