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DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). (arXiv:1911.09145v1 [cs.LG]) arxiv.org/abs/1911.09145

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. (arXiv:1911.09158v1 [cs.LG]) arxiv.org/abs/1911.09158

Bayesian optimization with local search. (arXiv:1911.09159v1 [stat.ML]) arxiv.org/abs/1911.09159

Deep Active Learning: Unified and Principled Method for Query and Training. (arXiv:1911.09162v1 [cs.LG]) arxiv.org/abs/1911.09162

Instrumental Variables: to Strengthen or not to Strengthen?. (arXiv:1911.09171v1 [stat.ME]) arxiv.org/abs/1911.09171

Autoregressive Modeling of Forest Dynamics. (arXiv:1911.09182v1 [q-bio.QM]) arxiv.org/abs/1911.09182

Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease. (arXiv:1911.08504v1 [stat.AP]) arxiv.org/abs/1911.08504

Gromov-Wasserstein Factorization Models for Graph Clustering. (arXiv:1911.08530v1 [cs.LG]) arxiv.org/abs/1911.08530

A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems. (arXiv:1911.08531v1 [stat.AP]) arxiv.org/abs/1911.08531

Robust Learning of Discrete Distributions from Batches. (arXiv:1911.08532v1 [cs.LG]) arxiv.org/abs/1911.08532

Prediction Focused Topic Models for Electronic Health Records. (arXiv:1911.08551v1 [cs.LG]) arxiv.org/abs/1911.08551

Towards Reducing Bias in Gender Classification. (arXiv:1911.08556v1 [cs.LG]) arxiv.org/abs/1911.08556

Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation. (arXiv:1911.08567v1 [cs.LG]) arxiv.org/abs/1911.08567

Representation Learning with Multisets. (arXiv:1911.08577v1 [cs.LG]) arxiv.org/abs/1911.08577

A Configuration-Space Decomposition Scheme for Learning-based Collision Checking. (arXiv:1911.08581v1 [cs.RO]) arxiv.org/abs/1911.08581

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. (arXiv:1911.07844v1 [cs.CV]) arxiv.org/abs/1911.07844

Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data. (arXiv:1911.07849v1 [cs.CV]) arxiv.org/abs/1911.07849

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