Publications
The full list is on Google Scholar. * marks equal contribution.
Conference papers
Learning Reusable Options by Decomposing Neural Policies
Advances in Neural Information Processing Systems, 2026
Didec, a neural option-discovery method based on policy masking.
Revisiting OOD Generalization in Programmatic RL
International Conference on Machine Learning, 2026
Re-evaluates prior claims that programmatic policies generalize better than neural policies on out-of-distribution tasks.
ScoreNet: Netting Lightweight Quality Scores for Better Visual Assessment with Large Multi-Modality Models
IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
An image-quality assessment metric built on multi-modal foundation models, surpassing state-of-the-art baselines.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
AAAI Conference on Artificial Intelligence, 2024 · * equal contribution
UA-MCTS adapts Monte Carlo Tree Search to inaccurate transition models. Based on my MSc thesis.
A Multi-Scale Objective Function for Camera Color Correction
IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
A human-aligned colour-correction objective that addresses inconsistencies in ΔE.
CASCO: Cascaded Co-Optimization for Neural Network Acceleration
Design, Automation & Test in Europe Conference, 2024