Trustworthy ML @ NOVA
I am a researcher at NOVA LINCS and an Assistant Professor at the Department of Computer Science of the NOVA School of Science and Technology. My work is broadly on trustworthy ML for critical Systems, like healthcare and physical systems (swarms of artificial agents, underwater unmanned vehicles, and satellites).
My Erdös number is 4.
Selected Recent Papers
- CLASP: Online learning algorithms for Convex Losses And Squared Penalties
Online learning algorithms for convex losses and squared penalties.
- A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
A semi-decentralized vertical federated learning method based on multi-token coordinate descent.
- OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
Challenges for reinforcement learning in real orbital systems.
- SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators
Interpretable, low-resource 3D pole detection with geometric priors.