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Asterios Tsiourvas
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2020 – today
- 2024
- [c6]Asterios Tsiourvas, Wei Sun, Georgia Perakis:
Manifold-Aligned Counterfactual Explanations for Neural Networks. AISTATS 2024: 3763-3771 - [c5]Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu:
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series. ICML 2024 - [c4]Asterios Tsiourvas, Georgia Perakis:
Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks. ICML 2024 - 2023
- [j2]Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas:
Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks. Commun. Nonlinear Sci. Numer. Simul. 117: 106893 (2023) - [j1]Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas:
COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation. Manuf. Serv. Oper. Manag. 25(3): 1013-1032 (2023) - [c3]Wei Sun, Asterios Tsiourvas:
Learning Prescriptive ReLU Networks. ICML 2023: 33044-33060 - [i3]Wei Sun, Asterios Tsiourvas:
Learning Prescriptive ReLU Networks. CoRR abs/2306.00651 (2023) - 2022
- [i2]Georgia Perakis, Asterios Tsiourvas:
Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling. CoRR abs/2205.14189 (2022) - [i1]Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas:
Discrete Gradient Flow Approximations of High Dimensional Evolution Partial Differential Equations via Deep Neural Networks. CoRR abs/2206.00290 (2022) - 2021
- [c2]Asterios Tsiourvas, Constantinos Bitsakos, Ioannis Konstantinou, Dimitris Fotakis, Nectarios Koziris:
A Mechanism Design and Learning Approach for Revenue Maximization on Cloud Dynamic Spot Markets. CLOUD 2021: 427-432
2010 – 2019
- 2019
- [c1]Evdokia Kassela, Nikodimos Provatas, Asterios Tsiourvas, Ioannis Konstantinou, Nectarios Koziris:
BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization. IEEE BigData 2019: 6098-6100
Coauthor Index
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