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arXiv
🗒Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formul...
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arXiv
🗒Progressive Learning and Disentanglement of Hierarchical Representations.
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arXiv
🗒Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the need...
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arXiv
🗒Triplet Online Instance Matching Loss for Person Re-identification.
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arXiv
🗒A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint.
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arXiv
🗒Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications.
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arXiv
🗒Data-driven super-parameterization using deep learning: Experimentation with multi-scale...
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arXiv
🗒Smoothing Graphons for Modelling Exchangeable Relational Data.
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arXiv
🗒2-Dimensional Palindromes with $k$ Mismatches.
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arXiv
🗒Fundamental Issues Regarding Uncertainties in Artificial Neural Networks.
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arXiv
🗒TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems.
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arXiv
🗒Flavour anomalies from a split dark sector.
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arXiv
🗒Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions.
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arXiv
🗒On Maximizing Information Reliability in Wireless Powered Cooperative Networks.
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arXiv
🗒Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social...
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arXiv
🗒Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge...
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arXiv
🗒Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization an...
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arXiv
🗒A Sample Complexity Separation between Non-Convex and Convex Meta-Learning.
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arXiv
🗒IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study.
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arXiv
🗒Device Heterogeneity in Federated Learning: A Superquantile Approach.
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