Łukasz Kuciński

Hi, I'm Łukasz! My goal is to design artificial intelligence that learns how to solve problems autonomously and in a self-improvement loop.

I am an Assistant Professor at the Polish Academy of Sciences, an Assistant Professor at the University of Warsaw, a Senior Research Scientist at IDEAS NCBR, and a member of the ELLIS Society. I am also involved with Ingenix.ai. I received my PhD in mathematics from IMPAN and my MSc from the University of Warsaw. Prior to my current position, I led a Solvency 2 internal models team at the Polish Financial Supervision Authority.

I'm looking for Ph.D. students! See IDEAS NCBR website for some PhD research topics.

e-mail: lukasz.kucinski at ideas-ncbr dot pl

Twitter • LinkedIn • Scholar • arXiv • ELLIS

Selected publications

tsGT: Stochastic Time Series Modeling With Transformer

Łukasz Kuciński, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Łukasz Maziarka, Marta Emilia Nowakowska, Łukasz Kaiser, Piotr Miłoś

submitted, 2024

GUIDE: Guidance-based Incremental Learning with Diffusion Models

Bartosz Cywiński, Kamil Deja, Tomasz Trzciński, Bartłomiej Twardowski, Łukasz Kuciński

submitted, 2024

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem

Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś

submitted, 2024

Structured Packing in LLM Training Improves Long Context Utilization

Konrad Staniszewski, Szymon Tworkowski, Yu Zhao, Sebastian Jaszczur, Henryk Michalewski, Łukasz Kuciński, Piotr Miłoś

submitted, 2024

Magnushammer: A Transformer-based Approach to Premise Selection

Maciej Mikuła, Szymon Antoniak, Szymon Tworkowski, Bartosz Piotrowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu

ICLR 2024, top-50 average score 8.0

Twitter @Yannik's