Sotabase

Career

· Postdoctoral Researcher, ETH AI Center2021–2024
· Data analyst and machine learning expert, FaStyle2017–
· PhD in Computer Science, La Sapienza University of Rome2017–2021
· Research fellowship, Politecnico di Milano2017–2018
· MS in Computer Science, La Sapienza University of Rome2015–2017
· Research fellowship, La Sapienza University of Rome2015–2016
· Bachelor's degree, La Sapienza University of Rome2012–2015
· Assistant Professor, University of Zurich
· Professor, University of Zurich

Publications (48)

T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling
arXiv.org · 2018
114
cited
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
Machine-mediated learning · 2021
35
cited
Provably Efficient Learning of Transferable Rewards
International Conference on Machine Learning · 2021
35
cited
Active Exploration for Inverse Reinforcement Learning
Neural Information Processing Systems · 2022
33
cited
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
International Conference on Artificial Intelligence and Statistics · 2020
30
cited
Learning on streaming graphs with experience replay
ACM Symposium on Applied Computing · 2022
22
cited
News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions
International Conference on Web and Social Media · 2019
20
cited
Controlled Text Generation with Adversarial Learning
International Conference on Natural Language Generation · 2019
16
cited
Inverse Reinforcement Learning from a Gradient-based Learner
Neural Information Processing Systems · 2020
15
cited
Truly No-Regret Learning in Constrained MDPs
International Conference on Machine Learning · 2024
15
cited
Content-based Classification of Political Inclinations of Twitter Users
2018 IEEE International Conference on Big Data (Big Data) · 2018
14
cited
Contextual Bilevel Reinforcement Learning for Incentive Alignment
Neural Information Processing Systems · 2024
11
cited
Iterative Knowledge Extraction from Social Networks
The Web Conference · 2018
11
cited
Learning in Non-Cooperative Configurable Markov Decision Processes
Neural Information Processing Systems · 2021
11
cited
Provably Learning Nash Policies in Constrained Markov Potential Games
Adaptive Agents and Multi-Agent Systems · 2023
11
cited
Content-based characterization of online social communities
Information Processing & Management · 2020
10
cited
Vocabulary-based community detection and characterization
ACM Symposium on Applied Computing · 2019
10
cited
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Neural Information Processing Systems · 2022
9
cited
On Imitation in Mean-field Games
Neural Information Processing Systems · 2023
8
cited
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes
arXiv.org · 2023
7
cited
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Giorgia Ramponi | Researcher Profile | Sotabase | Sotabase