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11/28/2022
Hierarchy-guided Model Selection for Time Series Forecasting
Generalizability of time series forecasting models depends on the qualit...
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12/04/2021
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
Reinforcement learning has lead to considerable break-throughs in divers...
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10/04/2021
Learning to shortcut and shortlist order fulfillment deciding
With the increase of order fulfillment options and business objectives t...
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06/09/2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves
The field of Deep Learning is rich with empirical evidence of human-like...
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04/08/2021
Gi and Pal Scores: Deep Neural Network Generalization Statistics
The field of Deep Learning is rich with empirical evidence of human-like...
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04/01/2021
Towards creativity characterization of generative models via group-based subset scanning
Deep generative models, such as Variational Autoencoders (VAEs), have be...
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01/25/2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Probabilistic forecasting of high dimensional multivariate time series i...
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12/14/2020
Practical application improvement to Quantum SVM: theory to practice
Quantum machine learning (QML) has emerged as an important area for Quan...
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01/23/2020
Machine learning based co-creative design framework
We propose a flexible, co-creative framework bringing together multiple ...
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02/06/2019