On the asymptotics of wide networks with polynomial activations. (arXiv:2006.06687v1 [cs.LG]) http://arxiv.org/abs/2006.06687
End-to-end Sinkhorn Autoencoder with Noise Generator. (arXiv:2006.06704v1 [cs.LG]) http://arxiv.org/abs/2006.06704
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. (arXiv:2006.06705v1 [cs.LG]) http://arxiv.org/abs/2006.06705
Learning to Learn Kernels with Variational Random Features. (arXiv:2006.06707v1 [cs.LG]) http://arxiv.org/abs/2006.06707
CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data. (arXiv:2006.05993v1 [cs.OH]) http://arxiv.org/abs/2006.05993
Binary Classification with Classical Instances and Quantum Labels. (arXiv:2006.06005v1 [quant-ph]) http://arxiv.org/abs/2006.06005
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. (arXiv:2006.06015v1 [cs.CV]) http://arxiv.org/abs/2006.06015
Revisiting visual-inertial structure from motion for odometry and SLAM initialization. (arXiv:2006.06017v1 [cs.CV]) http://arxiv.org/abs/2006.06017
Modeling and Simulation of COVID-19 Pandemic for Cincinnati Tri-State Area. (arXiv:2006.06021v1 [cs.SI]) http://arxiv.org/abs/2006.06021
The Numerical Unified Transform Method for Initial-boundary Value Problems on the Half-line. (arXiv:2006.06024v1 [math.NA]) http://arxiv.org/abs/2006.06024
Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges. (arXiv:2006.06026v1 [cs.CL]) http://arxiv.org/abs/2006.06026
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features. (arXiv:2006.06028v1 [cs.CV]) http://arxiv.org/abs/2006.06028
Learning normalizing flows from Entropy-Kantorovich potentials. (arXiv:2006.06033v1 [cs.LG]) http://arxiv.org/abs/2006.06033
Leveraging Bitcoin Testnet for Bidirectional Botnet Command and Control Systems. (arXiv:2006.06036v1 [cs.CR]) http://arxiv.org/abs/2006.06036
Developing Excel Thought Leadership. (arXiv:2006.04793v1 [cs.CY]) http://arxiv.org/abs/2006.04793
Abstracting spreadsheet data flow through hypergraph redrawing. (arXiv:2006.04794v1 [cs.SE]) http://arxiv.org/abs/2006.04794
Yield Loss Reduction and Test of AI and Deep Learning Accelerators. (arXiv:2006.04798v1 [cs.DC]) http://arxiv.org/abs/2006.04798
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors. (arXiv:2006.04802v1 [cs.LG]) http://arxiv.org/abs/2006.04802
A two-level solution to fight against dishonest opinions in recommendation-based trust systems. (arXiv:2006.04803v1 [cs.IR]) http://arxiv.org/abs/2006.04803
Optimal Transport Graph Neural Networks. (arXiv:2006.04804v1 [stat.ML]) http://arxiv.org/abs/2006.04804
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