Localisation And Imaging Methods for Moving Target Ghost Imaging Radar Based On Correlation Intensity Weighting. (arXiv:2207.07649v1 [eess.IV]) http://arxiv.org/abs/2207.07649
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. (arXiv:2207.07650v1 [cs.LG]) http://arxiv.org/abs/2207.07650
Learning inducing points and uncertainty on molecular data. (arXiv:2207.07654v1 [physics.chem-ph]) http://arxiv.org/abs/2207.07654
FLOWGEN: Fast and slow graph generation. (arXiv:2207.07656v1 [cs.LG]) http://arxiv.org/abs/2207.07656
First Order Logic and Twin-Width in Tournaments and Dense Oriented Graphs. (arXiv:2207.07683v1 [cs.LO]) http://arxiv.org/abs/2207.07683
Node Graph Optimization Using Differentiable Proxies. (arXiv:2207.07684v1 [cs.GR]) http://arxiv.org/abs/2207.07684
3PO: Programmed Far-Memory Prefetching for Oblivious Applications. (arXiv:2207.07688v1 [cs.OS]) http://arxiv.org/abs/2207.07688
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia. (arXiv:2207.07689v1 [cs.LG]) http://arxiv.org/abs/2207.07689
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts. (arXiv:2207.07690v1 [cs.LG]) http://arxiv.org/abs/2207.07690
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction. (arXiv:2207.07693v1 [cs.HC]) http://arxiv.org/abs/2207.07693
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech. (arXiv:2207.07118v1 [cs.CL]) http://arxiv.org/abs/2207.07118
Design of VR Engine Assembly Teaching System. (arXiv:2207.07119v1 [cs.HC]) http://arxiv.org/abs/2207.07119
Between-Tactor Display Using Dynamic Tactile Stimuli. (arXiv:2207.07120v1 [cs.HC]) http://arxiv.org/abs/2207.07120
Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces. (arXiv:2207.07121v1 [eess.SY]) http://arxiv.org/abs/2207.07121
Learning port-Hamiltonian systems -- algorithms. (arXiv:2207.07124v1 [cs.CE]) http://arxiv.org/abs/2207.07124
Node Replication: Theory And Practice. (arXiv:2207.07143v1 [cs.LO]) http://arxiv.org/abs/2207.07143
Bug Fix Time Optimization Using Matrix Factorization and Iterative Gale-Shaply Algorithms. (arXiv:2207.07149v1 [cs.SE]) http://arxiv.org/abs/2207.07149
Making Linear MDPs Practical via Contrastive Representation Learning. (arXiv:2207.07150v1 [cs.LG]) http://arxiv.org/abs/2207.07150
Streaming complexity of CSPs with randomly ordered constraints. (arXiv:2207.07158v1 [cs.DS]) http://arxiv.org/abs/2207.07158
Case study on quantum convolutional neural network scalability. (arXiv:2207.07160v1 [cs.ET]) http://arxiv.org/abs/2207.07160
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