Publications (33)
Quantum Gate Optimization for Rydberg Architectures in the Weak-Coupling Limit
Nicolas Heimann, Lukas Broers, Nejira Pintul +5
We demonstrate machine learning assisted design of a two-qubit gate in a Rydberg tweezer system. Two low-energy hyperfine states in each of the atoms represent the logical qubit an…
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks
Rinu Boney, Alexander Ilin
We consider the problem of semi-supervised few-shot classification where a classifier needs to adapt to new tasks using a few labeled examples and (potentially many) unlabeled exam…
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
Bernard Spiegl, Andrea Perin, Stéphane Deny +1
Deep learning is providing a wealth of new approaches to the problem of novel view synthesis, from Neural Radiance Field (NeRF) based approaches to end-to-end style architectures.…
A Grid-Structured Model of Tubular Reactors
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho +2
We propose a grid-like computational model of tubular reactors. The architecture is inspired by the computations performed by solvers of partial differential equations which descri…
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Solving complex planning problems has been a long-standing challenge in computer science. Learning-based subgoal search methods have shown promise in tackling these problems, but t…
Automating Privilege Escalation with Deep Reinforcement Learning
Kalle Kujanpää, Willie Victor, Alexander Ilin
AI-based defensive solutions are necessary to defend networks and information assets against intelligent automated attacks. Gathering enough realistic data for training machine lea…