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Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments

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Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments

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Learning Algorithms in the Limit

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases

Advances in Algorithms for Sampling, Optimization and Inference in Disordered Systems

Ground-based image deconvolution with Swin Transformer UNet

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Learning sparse features can lead to overfitting in neural networks

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

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Brain networks subserving functional core processes of emotions identified with componential modeling

Persistent Homology with Improved Locality Information for more Effective Delineation

Runtime Replacement of Machine Learning Modules in Fpga-based Systems

ResLogit: A residual neural network logit model for data-driven choice modelling

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Decoupling Backpropagation using Constrained Optimization Methods