arXiv Statistics @arxiv_stats@qoto.org

Making Good on LSTMs Unfulfilled Promise. (arXiv:1911.04489v1 [cs.LG]) http://arxiv.org/abs/1911.04489

Bayesian Prediction of Volleyball Sets Using the Truncated Skellam and the Ordered Multinomial Models. (arXiv:1911.04541v1 [stat.AP]) http://arxiv.org/abs/1911.04541

Geometry-Aware Neural Rendering. (arXiv:1911.04554v1 [cs.CV]) http://arxiv.org/abs/1911.04554

Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices. (arXiv:1911.04559v1 [cs.LG]) http://arxiv.org/abs/1911.04559

A Lattice and Random Intermediate Point Sampling Design for Animal Movement. (arXiv:1911.04561v1 [stat.AP]) http://arxiv.org/abs/1911.04561

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. (arXiv:1911.04574v1 [cs.LG]) http://arxiv.org/abs/1911.04574

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. (arXiv:1911.04587v1 [cs.LG]) http://arxiv.org/abs/1911.04587

Evaluating Combinatorial Generalization in Variational Autoencoders. (arXiv:1911.04594v1 [cs.LG]) http://arxiv.org/abs/1911.04594

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. (arXiv:1911.04597v1 [cs.LG]) http://arxiv.org/abs/1911.04597

Optimizing Millions of Hyperparameters by Implicit Differentiation. (arXiv:1911.02590v1 [cs.LG]) http://arxiv.org/abs/1911.02590

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (arXiv:1911.02613v1 [cs.LG]) http://arxiv.org/abs/1911.02613

Map Enhanced Route Travel Time Prediction using Deep Neural Networks. (arXiv:1911.02623v1 [cs.LG]) http://arxiv.org/abs/1911.02623

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