Piotr Piękos' website (original) (raw)

Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing Piotr Piękos, Róbert Csordás, Jürgen Schmidhuber Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Piotr Piękos, Subhradeep Kayal, Alexandros Karatzoglou SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NeurIPS 2024 Róbert Csordás, Piotr Piękos, Kazuki Irie, Jürgen Schmidhuber Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Artificial Intelligence ICRA 2024 Renzo Cabalero*, Piotr Piękos*, Eric Feron, Jürgen Schmidhuber * - equal contribution Mindstorms in Natural Language-Based Societies of Mind CVMJ 2025 Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search ICLR 2023 (Oral - Notable top 5%) Michał Zawalski, Michał Tyrolski, Konrad Czechowski, Tomasz Odrzygóźdź. Damian Stachura. Piotr Piękos, Yuhuai Wu, Łukasz Kuciński, Piotr Miłoś Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning ACL 2021 (Oral) Piotr Piękos, Henryk Michalewski, Mateusz Malinowski Efficient Value Propagation with the Compositional Optimality Equation GCRL NeurIPS 2023 Workshop Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber