Maciej Pióro

According to our database, Maciej Pióro authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

μ-Parametrization for Mixture of Experts.

Jan Malasnicki, Kamil Ciebiera, Mateusz Borun, Maciej Pióro, Jan Ludziejewski, Maciej Stefaniak, Michal Krutul, Sebastian Jaszczur, Marek Cygan, Kamil Adamczewski, Jakub Krajewski

CoRR, August, 2025

Decoupled Relative Learning Rate Schedules.

Jan Ludziejewski, Jan Malasnicki, Maciej Pióro, Michal Krutul, Kamil Ciebiera, Maciej Stefaniak, Jakub Krajewski, Piotr Sankowski, Marek Cygan, Kamil Adamczewski, Sebastian Jaszczur

CoRR, July, 2025

Projected Compression: Trainable Projection for Efficient Transformer Compression.

Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Maciej Pióro, Jakub Krajewski, Sebastian Jaszczur, Marek Cygan, Kamil Adamczewski, Jan Ludziejewski

CoRR, June, 2025

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models.

Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska, Simone Astarita, Rishabh Chakrabarty, Nikhil Garuda, Pranav Khetarpal, Maciej Pióro, Dimitrios Tanoglidis, Kartheik Iyer, Mugdha Polimera, Michael J. Smith, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca

CoRR, April, 2025

Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient.

Jan Ludziejewski, Maciej Pióro, Jakub Krajewski, Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Milos, Sebastian Jaszczur

CoRR, February, 2025

2024

State Soup: In-Context Skill Learning, Retrieval and Mixing.

Maciej Pióro, Maciej Wolczyk, Razvan Pascanu, Johannes von Oswald, João Sacramento

CoRR, 2024

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts.

Maciej Pióro, Kamil Ciebiera, Krystian Król, Jan Ludziejewski, Sebastian Jaszczur

CoRR, 2024

Mixture of Tokens: Continuous MoE through Cross-Example Aggregation.

Szymon Antoniak, Michal Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski, Kamil Ciebiera, Krystian Król, Tomasz Odrzygózdz, Marek Cygan, Sebastian Jaszczur

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scaling Laws for Fine-Grained Mixture of Experts.

Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michal Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygózdz, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Mixture of Tokens: Efficient LLMs through Cross-Example Aggregation.

Szymon Antoniak, Sebastian Jaszczur, Michal Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski, Tomasz Odrzygózdz, Marek Cygan

CoRR, 2023

2022

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022