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Towards the shortest DRAT proof of the Pigeonhole Principle. (arXiv:2207.11284v1 [cs.LO]) arxiv.org/abs/2207.11284

TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring. (arXiv:2207.11290v1 [cs.LG]) arxiv.org/abs/2207.11290

Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. (arXiv:2207.11293v1 [cs.DC]) arxiv.org/abs/2207.11293

Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. (arXiv:2207.11294v1 [cs.DC]) arxiv.org/abs/2207.11294

Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST). (arXiv:2207.11297v1 [physics.med-ph]) arxiv.org/abs/2207.11297

Improved Generalization Guarantees in Restricted Data Models. (arXiv:2207.10668v1 [cs.CR]) arxiv.org/abs/2207.10668

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases. (arXiv:2207.10670v1 [cs.LG]) arxiv.org/abs/2207.10670

Correcting Model Bias with Sparse Implicit Processes. (arXiv:2207.10673v1 [stat.ML]) arxiv.org/abs/2207.10673

R2P: A Deep Learning Model from mmWave Radar to Point Cloud. (arXiv:2207.10690v1 [cs.CV]) arxiv.org/abs/2207.10690

Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform. (arXiv:2207.10693v1 [cs.RO]) arxiv.org/abs/2207.10693

A machine learning based approach to gravitational lens identification with the International LOFAR Telescope. (arXiv:2207.10698v1 [astro-ph.GA]) arxiv.org/abs/2207.10698

Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. (arXiv:2207.10702v1 [cs.LG]) arxiv.org/abs/2207.10702

Optimal Algorithms for Free Order Multiple-Choice Secretary. (arXiv:2207.10703v1 [cs.DS]) arxiv.org/abs/2207.10703

Learning Physics from the Machine: An Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator. (arXiv:2207.10710v1 [physics.data-an]) arxiv.org/abs/2207.10710

JAWS: Predictive Inference Under Covariate Shift. (arXiv:2207.10716v1 [cs.LG]) arxiv.org/abs/2207.10716

The sparse representation related with fractional heat equations. (arXiv:2207.10078v1 [math.NA]) arxiv.org/abs/2207.10078

On continuum modeling of cell aggregation phenomena. (arXiv:2207.10079v1 [math.NA]) arxiv.org/abs/2207.10079

What Do We Maximize in Self-Supervised Learning?. (arXiv:2207.10081v1 [cs.LG]) arxiv.org/abs/2207.10081

Model Compression for Resource-Constrained Mobile Robots. (arXiv:2207.10082v1 [cs.LG]) arxiv.org/abs/2207.10082

Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss. (arXiv:2207.10083v1 [cs.LG]) arxiv.org/abs/2207.10083

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