arXiv Statistics @arxiv_stats@qoto.org

Data Generation for Neural Programming by Example. (arXiv:1911.02624v1 [cs.LG]) http://arxiv.org/abs/1911.02624

Modeling Material Stress Using Integrated Gaussian Markov Random Fields. (arXiv:1911.02629v1 [stat.AP]) http://arxiv.org/abs/1911.02629

A Statistical Analysis of Recent Traffic Crashes in Massachusetts. (arXiv:1911.02647v1 [stat.AP]) http://arxiv.org/abs/1911.02647

Invariance and identifiability issues for word embeddings. (arXiv:1911.02656v1 [stat.ML]) http://arxiv.org/abs/1911.02656

What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. (arXiv:1911.02660v1 [eess.IV]) http://arxiv.org/abs/1911.02660

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. (arXiv:1911.02673v1 [cs.LG]) http://arxiv.org/abs/1911.02673

Generalized Transformation-based Gradient. (arXiv:1911.02681v1 [cs.LG]) http://arxiv.org/abs/1911.02681

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. (arXiv:1911.02007v1 [eess.IV]) http://arxiv.org/abs/1911.02007

Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. (arXiv:1911.02008v1 [math.NT]) http://arxiv.org/abs/1911.02008

A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. (arXiv:1911.02010v1 [math.ST]) http://arxiv.org/abs/1911.02010

Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. (arXiv:1911.02014v1 [eess.IV]) http://arxiv.org/abs/1911.02014

Bias-aware model selection for machine learning of doubly robust functionals. (arXiv:1911.02029v1 [stat.ME]) http://arxiv.org/abs/1911.02029

Efficiently Learning Structured Distributions from Untrusted Batches. (arXiv:1911.02035v1 [cs.DS]) http://arxiv.org/abs/1911.02035

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. (arXiv:1911.02042v1 [cs.LG]) http://arxiv.org/abs/1911.02042

Guided Layer-wise Learning for Deep Models using Side Information. (arXiv:1911.02048v1 [cs.LG]) http://arxiv.org/abs/1911.02048

A Method to Model Conditional Distributions with Normalizing Flows. (arXiv:1911.02052v1 [cs.LG]) http://arxiv.org/abs/1911.02052

Alleviating Label Switching with Optimal Transport. (arXiv:1911.02053v1 [cs.LG]) http://arxiv.org/abs/1911.02053

On Solving the 2-Dimensional Greedy Shooter Problem for UAVs. (arXiv:1911.01419v1 [cs.RO]) http://arxiv.org/abs/1911.01419

Improved BiGAN training with marginal likelihood equalization. (arXiv:1911.01425v1 [stat.ML]) http://arxiv.org/abs/1911.01425

The frontier of simulation-based inference. (arXiv:1911.01429v1 [stat.ML]) http://arxiv.org/abs/1911.01429