Hypernetwork Functional Image Representation. - Sylwester Klocek; Lukasz Maziarka; Maciej Wolczyk; Jacek Tabor; Jakub Nowak; Marek Smieja (ICANN (Workshop), 2019)

Multi-task hypernetworks. - Sylwester Klocek; Lukasz Maziarka; Maciej Wolczyk; Jacek Tabor; Marek Smieja; Jakub Nowak (CoRR, 2019)

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. - Marek Smieja; Maciej Wolczyk; Jacek Tabor; Bernhard C. Geiger (CoRR, 2019)

Biologically-Inspired Spatial Neural Networks. - Maciej Wolczyk; Jacek Tabor; Marek Smieja; Szymon Maszke (CoRR, 2019)

Finding the Optimal Network Depth in Classification Tasks. - Bartosz Wójcik; Maciej Wolczyk; Klaudia Balazy; Jacek Tabor (ECML/PKDD (3), 2020)

Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract). - Maciej Wolczyk; Andrii Krutsylo (AAAI, 2021)

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Oliver Scheel; Luca Bergamini; Maciej Wolczyk; Blazej Osinski; Peter Ondruska (CoRL, 2021)

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. - Maciej Wolczyk; Bartosz Wójcik; Klaudia Balazy; Igor T. Podolak; Jacek Tabor; Marek Smieja; Tomasz Trzcinski (NeurIPS, 2021)

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

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. - Matt Vitelli; Yan Chang; Yawei Ye; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (CoRR, 2021)

SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. - Marek Smieja; Maciej Wolczyk; Jacek Tabor; Bernhard C. Geiger (IEEE Trans. Neural Networks Learn. Syst., 2021)

PluGeN: Multi-Label Conditional Generation from Pre-trained Models. - Maciej Wolczyk; Magdalena Proszewska; Lukasz Maziarka; Maciej Zieba; Patryk Wielopolski; Rafal Kurczab; Marek Smieja (AAAI, 2022)

Continual Learning with Guarantees via Weight Interval Constraints. - Maciej Wolczyk; Karol J. Piczak; Bartosz Wójcik; Lukasz Pustelnik; Pawel Morawiecki; Jacek Tabor; Tomasz Trzcinski; Przemyslaw Spurek (ICML, 2022)

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. - Matt Vitelli; Yan Chang; Yawei Ye; Ana Ferreira 011; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (ICRA, 2022)

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

On the Relationship Between Disentanglement and Multi-task Learning. - Lukasz Maziarka; Aleksandra Nowak 001; Maciej Wolczyk; Andrzej Bedychaj (ECML/PKDD (1), 2022)

The Effectiveness of World Models for Continual Reinforcement Learning. - Samuel Kessler; Mateusz Ostaszewski; Michal Pawel Bortkiewicz; Mateusz Zarski; Maciej Wolczyk; Jack Parker-Holder; Stephen J. Roberts; Piotr Milos (CoLLAs, 2023)

Hebbian Continual Representation Learning. - Pawel Morawiecki; Andrii Krutsylo; Maciej Wolczyk; Marek Smieja (HICSS, 2023)

Zero time waste in pre-trained early exit neural networks. - Bartosz Wójcik; Marcin Przewiezlikowski; Filip Szatkowski; Maciej Wolczyk; Klaudia Balazy; Bartlomiej Krzepkowski; Igor T. Podolak; Jacek Tabor; Marek Smieja; Tomasz Trzcinski (Neural Networks, 2023)

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. - Adam Pardyl; Michal Wronka; Maciej Wolczyk; Kamil Adamczewski; Tomasz Trzcinski; Bartosz Zielinski 001 (ECCV (21), 2024)

Discovering modular solutions that generalize compositionally. - Simon Schug; Seijin Kobayashi; Yassir Akram; Maciej Wolczyk; Alexandra Proca; Johannes von Oswald; Razvan Pascanu; João Sacramento; Angelika Steger (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)

State Soup: In-Context Skill Learning, Retrieval and Mixing. - Maciej Pióro; Maciej Wolczyk; Razvan Pascanu; Johannes von Oswald; João Sacramento (CoRR, 2024)

Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models. - Gracjan Góral; Alicja Ziarko; Michal Nauman; Maciej Wolczyk (CoRR, 2024)

Multi-Label Conditional Generation From Pre-Trained Models. - Magdalena Proszewska; Maciej Wolczyk; Maciej Zieba; Patryk Wielopolski; Lukasz Maziarka; Marek Smieja (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract). - Tadeusz Dziarmaga; Tomasz Arczewski; Marcin Mazur; Maciej Wolczyk (AAAI, 2025)

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. - Davide Paglieri; Bartlomiej Cupial; Samuel Coward; Ulyana Piterbarg; Maciej Wolczyk; Akbir Khan; Eduardo Pignatelli; Lukasz Kucinski; Lerrel Pinto; Rob Fergus; Jakob Nicolaus Foerster; Jack Parker-Holder; et al. (ICLR, 2025)

Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models. - Gracjan Góral; Alicja Ziarko; Piotr Milos; Michal Nauman; Maciej Wolczyk; Michal Kosinski (CoRR, 2025)

FlySearch: Exploring how vision-language models explore. - Adam Pardyl; Dominik Matuszek; Mateusz Przebieracz; Marek Cygan; Bartosz Zielinski 001; Maciej Wolczyk (CoRR, 2025)