GloSAT Historical Measurement Table Dataset: Enhanced Table Structure Recognition Annotation for Downstream Historical Data Rescue. - Juliusz Ziomek; Stuart Middleton (HIP@ICDAR, 2021)

Settling the Communication Complexity for Distributed Offline Reinforcement Learning. - Juliusz Krysztof Ziomek; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Modelling nonlinear dependencies in the latent space of inverse scattering. - Juliusz Ziomek; Katayoun Farrahi (CoRR, 2022)

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. - Taher Jafferjee; Juliusz Krysztof Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (CoRR, 2022)

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. - David Henry Mguni; Aivar Sootla; Juliusz Ziomek; Oliver Slumbers; Zipeng Dai; Kun Shao; Jun Wang 012 (ICLR, 2023)

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? - Juliusz Krysztof Ziomek; Haitham Bou-Ammar (ICML, 2023)

Why Can Large Language Models Generate Correct Chain-of-Thoughts? - Rasul Tutunov; Antoine Grosnit; Juliusz Ziomek; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2023)

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (NeurIPS, 2024)

Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (CoRR, 2024)

Time-varying Gaussian Process Bandits with Unknown Prior. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (AISTATS, 2025)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)

Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation. - George Whittle; Juliusz Ziomek; Jacob Rawling; Michael A. Osborne (CoRR, 2025)

Mean-Field Bayesian Optimisation. - Petar Steinberg; Juliusz Ziomek; Matej Jusup; Ilija Bogunovic (CoRR, 2025)

Just One Layer Norm Guarantees Stable Extrapolation. - Juliusz Ziomek; George Whittle; Michael A. Osborne (CoRR, 2025)