| 2026 | GECCO | In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models. | Sam Earle, Kai Arulkumaran, Akarsh Kumar, Andrew Dai, Julian Togelius, Sebastian Risi |
| 2025 | Interspeech | A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations. | Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai |
| 2023 | ACML | A Pragmatic Look at Deep Imitation Learning. | Kai Arulkumaran, Dan Ogawa Lillrank |
| 2022 | GECCO | Minimal criterion artist collective. | Kai Arulkumaran, Thu Nguyen-Phuoc |
| 2022 | GECCO | Evolving spaceships with a hybrid L-system constrained optimisation evolutionary algorithm. | Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros |
| 2021 | PRICAI | Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay. | Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath |
| 2020 | ESANN | Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control. | Manon Flageat, Kai Arulkumaran, Anil A. Bharath |
| 2020 | MICCAI | EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis. | Kevin Pan, Guillem Hurault, Kai Arulkumaran, Hywel C. Williams, Reiko J. Tanaka |
| 2019 | GECCO | AlphaStar: an evolutionary computation perspective. | Kai Arulkumaran, Antoine Cully, Julian Togelius |
| 2019 | ICML | Adaptive Neural Trees. | Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori |
| 2019 | MICCAI | A Maximum Entropy Deep Reinforcement Learning Neural Tracker. | Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath |