Structure optimization for deep multimodal fusion networks using graph-induced kernels. - Dhanesh Ramachandram; Michal Lisicki; Timothy J. Shields; Mohamed R. Amer; Graham W. Taylor (ESANN, 2017)

Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures. - Dhanesh Ramachandram; Michal Lisicki; Timothy J. Shields; Mohamed R. Amer; Graham W. Taylor (Neurocomputing, 2018)

Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. - Michal Lisicki; Arash Afkanpour; Graham W. Taylor (CoRR, 2020)

An Empirical Study of Neural Kernel Bandits. - Michal Lisicki; Arash Afkanpour; Graham W. Taylor (CoRR, 2021)

Bandit-Driven Batch Selection for Robust Learning under Label Noise. - Michal Lisicki; Mihai Nica; Graham W. Taylor (CoRR, 2023)

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics. - Haonan Zhu; Mary Silva; Jose Cadena; Braden Soper; Michal Lisicki; Braian Peetoom; Sergio E. Baranzini; Shivshankar Sundaram; Priyadip Ray; Jeff Drocco (CoRR, 2025)