Sotabase

Career

· PhD Student, EPFL (École Polytechnique Fédérale de Lausanne)
· Postdoctoral Researcher, Harvard University
· Research Assistant, National Technical University of Athens (NTUA)
· Research Scientist in AI, Telenor Research
· Assistant Professor (Lecturer) in AI, University of Southampton

Publications (0)

A low-complexity control mechanism targeting smart thermostats
2017
20
cited
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
International Joint Conference on Artificial Intelligence · 2019
13
cited
Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation
Artificial Intelligence Review · 2019
12
cited
Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets
arXiv.org · 2021
9
cited
AI-driven Prices for Externalities and Sustainability in Production Markets
Adaptive Agents and Multi-Agent Systems · 2021
8
cited
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
International Joint Conference on Artificial Intelligence · 2023
7
cited
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings
Adaptive Agents and Multi-Agent Systems · 2020
5
cited
ANT3D: Simultaneous Partitioning and Placement for 3-D FPGAs based on Ant Colony Optimization
IEEE Embedded Systems Letters · 2016
5
cited
Learning in Ad-hoc Anti-coordination Scenarios
AAAI Spring Symposia · 2018
5
cited
Improving Multi-agent Coordination by Learning to Estimate Contention
International Joint Conference on Artificial Intelligence · 2021
4
cited
Scalable Multi-agent Coordination and Resource Sharing
2022
4
cited
Courtesy as a Means to Coordinate
Adaptive Agents and Multi-Agent Systems · 2018
3
cited
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
BigData Congress [Services Society] · 2022
3
cited
A Courteous Learning Rule for Ad-hoc Anti-coordination
arXiv.org · 2018
2
cited
Exploiting environmental signals to enable policy correlation in large-scale decentralized systems
Autonomous Agents and Multi-Agent Systems · 2021
2
cited
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms
AAAI Conference on Artificial Intelligence · 2024
2
cited
Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
arXiv.org · 2022
2
cited
Courtesy as a Means to Anti-coordinate.
2018
1
cited
Differential Privacy Meets Maximum-weight Matching
arXiv.org · 2020
1
cited
Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems
European Conference on Artificial Intelligence · 2020
1
cited
Sotabase