arXiv Computer Science @arxiv_cs@qoto.org

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

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses. (arXiv:2006.04806v1 [cs.CR]) http://arxiv.org/abs/2006.04806

A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus. (arXiv:2006.04816v1 [cs.SI]) http://arxiv.org/abs/2006.04816

Quantum Legendre-Fenchel Transform. (arXiv:2006.04823v1 [quant-ph]) http://arxiv.org/abs/2006.04823

Evaluation of Quantum Approximate Optimization Algorithm based on the approximation ratio of single samples. (arXiv:2006.04831v1 [quant-ph]) http://arxiv.org/abs/2006.04831

From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. (arXiv:2006.03594v1 [cs.DC]) http://arxiv.org/abs/2006.03594

Blockchain, Fog and IoT Integrated Framework: Review, Architecture and Evaluation. (arXiv:2006.03596v1 [cs.CR]) http://arxiv.org/abs/2006.03596

Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge. (arXiv:2006.03611v1 [q-bio.NC]) http://arxiv.org/abs/2006.03611

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization. (arXiv:2006.03614v1 [cs.RO]) http://arxiv.org/abs/2006.03614

High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. (arXiv:2006.03616v1 [cs.LG]) http://arxiv.org/abs/2006.03616