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10/25/2022
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
The interplay between Machine Learning (ML) and Constrained Optimization...
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03/03/2021
Deep Learning for Virus-Spreading Forecasting: a Brief Survey
The advent of the coronavirus pandemic has sparked the interest in predi...
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05/20/2020
An Analysis of Regularized Approaches for Constrained Machine Learning
Regularization-based approaches for injecting constraints in Machine Lea...
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05/19/2020
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey
Deep Learning (DL) models proved themselves to perform extremely well on...
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02/25/2020
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
Methods for taking into account external knowledge in Machine Learning m...
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02/25/2020
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Given enough data, Deep Neural Networks (DNNs) are capable of learning c...
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02/24/2020
Injective Domain Knowledge in Neural Networks for Transprecision Computing
Machine Learning (ML) models are very effective in many learning tasks, ...
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02/24/2020
Combining Learning and Optimization for Transprecision Computing
The growing demands of the worldwide IT infrastructure stress the need f...
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11/13/2018
Anomaly Detection using Autoencoders in High Performance Computing Systems
Anomaly detection in supercomputers is a very difficult problem due to t...
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07/15/2018
Boosting Combinatorial Problem Modeling with Machine Learning
In the past few years, the area of Machine Learning (ML) has witnessed t...
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06/13/2018
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration
Energy efficiency is of paramount importance for the sustainability of H...
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05/15/2014
Multi-Criteria Optimal Planning for Energy Policies in CLP
In the policy making process a number of disparate and diverse issues su...
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01/31/2011