Pedro Abranches
Machine Learning, Neuroscience
Arshia Afzal (co-advised)
Accelerating inference for machine learning algorithm Time-series analysis Efficient sequence modeling Neuroscience
Leyla Naz Candogan
Adversarial Machine Learning Robustness
Yi Feng (visiting PhD student)
Learning in Games Optimisation
Leello Tadesse Dadi
Optimization, Algorithms and Randomness.
Andrej Janchevski
Network Science, Graph Neural Networks, Graph Representation, Graph Prediction, Graph Generation
Ioannis Mavrothalassitis
Research InterestsConvex/Non-Convex OptimizationMachine LearningPublications
Amira Neumann (co-advised)
Machine learning Explainable and interpretable AI AI for the medical field Power and memory efficient AI models
Thomas Pethick
Bayesian Optimization, Machine Learning
Elias Abad Rocamora
Research Interests:Adversarial TrainingRobustness VerificationOptimizationPublications
Luca Viano
Reinforcement Learning, Imitation Learning, Optimization
Yongtao Wu
Deep learning Over-parametrized models
Wanyun Xie
Distributed machine learning, Optimization, Communication Systems.
Tian Xu (visiting PhD student)
Imitation Learning Theory, Reinforcement Learning.
Zhenyu Zhu
Machine Learning, Deep Learning Theory