Asterios Tsiourvas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Big Data Analytics

Mechanism Design

Partial Differential Equations

Top Venues

Manuf. Serv. Oper. Manag.

Publications

Asterios Tsiourvas, Wei Sun, Georgia Perakis
Manifold-Aligned Counterfactual Explanations for Neural Networks. AISTATS (2024)
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 (2023)
Wei Sun, Asterios Tsiourvas
Learning Prescriptive ReLU Networks. ICML (2023)
Wei Sun, Asterios Tsiourvas
Learning Prescriptive ReLU Networks. CoRR (2023)
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) (2023)
Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas
Discrete Gradient Flow Approximations of High Dimensional Evolution Partial Differential Equations via Deep Neural Networks. CoRR (2022)
Georgia Perakis, Asterios Tsiourvas
Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling. CoRR (2022)
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)
Evdokia Kassela, Nikodimos Provatas, Asterios Tsiourvas, Ioannis Konstantinou, Nectarios Koziris
BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization. IEEE BigData (2019)