Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps. - Maciej Jaskowski; Jakub Swiatkowski; Michal Zajac 005; Maciej Klimek; Jarek Potiuk; Piotr Rybicki; Piotr Polatowski; Przemyslaw Walczyk; Kacper Nowicki; Marek Cygan (CoRR, 2018)

Adversarial Framing for Image and Video Classification. - Michal Zajac 005; Konrad Zolna; Negar Rostamzadeh; Pedro O. Pinheiro (AAAI, 2019)

Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. - Michal Zajac 005; Konrad Zolna; Stanislaw Jastrzebski (CoRR, 2019)

Google Research Football: A Novel Reinforcement Learning Environment. - Karol Kurach; Anton Raichuk; Piotr Stanczyk; Michal Zajac 005; Olivier Bachem; Lasse Espeholt; Carlos Riquelme; Damien Vincent; Marcin Michalski; Olivier Bousquet; Sylvain Gelly (AAAI, 2020)

Continual World: A Robotic Benchmark For Continual Reinforcement Learning. - Maciej Wolczyk; Michal Zajac 005; Razvan Pascanu; Lukasz Kucinski; Piotr Milos (NeurIPS, 2021)

Disentangling Transfer in Continual Reinforcement Learning. - Maciej Wolczyk; Michal Zajac 005; Razvan Pascanu; Lukasz Kucinski; Piotr Milos (NeurIPS, 2022)

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. - Mateusz Olko; Michal Zajac 005; Aleksandra Nowak 001; Nino Scherrer; Yashas Annadani; Stefan Bauer; Lukasz Kucinski; Piotr Milos (NeurIPS, 2023)

Exploring Continual Learning of Diffusion Models. - Michal Zajac 005; Kamil Deja; Anna Kuzina; Jakub M. Tomczak; Tomasz Trzcinski; Florian Shkurti; Piotr Milos (CoRR, 2023)

Exploiting Novel GPT-4 APIs. - Kellin Pelrine; Mohammad Taufeeque; Michal Zajac 005; Euan McLean; Adam Gleave (CoRR, 2023)

Prediction Error-based Classification for Class-Incremental Learning. - Michal Zajac 005; Tinne Tuytelaars; Gido M. van de Ven (ICLR, 2024)

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. - Maciej Wolczyk; Bartlomiej Cupial; Mateusz Ostaszewski; Michal Bortkiewicz; Michal Zajac 005; Razvan Pascanu; Lukasz Kucinski; Piotr Milos (ICML, 2024)

Exploring Scaling Trends in LLM Robustness. - Nikolaus H. R. Howe; Michal Zajac 005; Ian R. McKenzie; Oskar Hollinsworth; Tom Tseng; Pierre-Luc Bacon; Adam Gleave (CoRR, 2024)