Search Results - "Odrzygóźdź, Tomasz"

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  1. 1

    Cubulating random groups in the square model by Odrzygóźdź, Tomasz

    Published in Israel journal of mathematics (01-08-2018)
    “…Our main result is that for densities < 3/10 a random group in the square model has the Haagerup property and is residually finite. Moreover, we generalize the…”
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    Journal Article
  2. 2
  3. 3

    Nonplanar isoperimetric inequality for random groups by Odrzygóźdź, Tomasz

    Published 25-04-2021
    “…The goal of this note is to generalize Isoperimetric Inequality for random groups to the class of non-planar diagrams of bounded number of faces…”
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    Journal Article
  4. 4

    Bent walls for random groups in the square and hexagonal model by Odrzygóźdź, Tomasz

    Published 12-06-2019
    “…We consider two random group models: the hexagonal model and the square model, defined as the quotient of a free group by a random set of reduced words of…”
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    Journal Article
  5. 5

    Cubulating random groups in the square model by Odrzygóźdź, Tomasz

    Published 09-10-2016
    “…Our main result is that for densities $<\frac{3}{10}$ a random group in the square model has the Haagerup property and is residually finite. Moreover, we…”
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    Journal Article
  6. 6

    The square model for random groups by Odrzygóźdź, Tomasz

    Published 09-05-2014
    “…We introduce a new random group model called the square model: we quotient a free group on $n$ generators by a random set of relations, each of which is a…”
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    Journal Article
  7. 7

    Mixture of Tokens: Continuous MoE through Cross-Example Aggregation by Antoniak, Szymon, Krutul, Michał, Pióro, Maciej, Krajewski, Jakub, Ludziejewski, Jan, Ciebiera, Kamil, Król, Krystian, Odrzygóźdź, Tomasz, Cygan, Marek, Jaszczur, Sebastian

    Published 24-10-2023
    “…Mixture of Experts (MoE) models based on Transformer architecture are pushing the boundaries of language and vision tasks. The allure of these models lies in…”
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    Journal Article
  8. 8

    Scaling Laws for Fine-Grained Mixture of Experts by Krajewski, Jakub, Ludziejewski, Jan, Adamczewski, Kamil, Pióro, Maciej, Krutul, Michał, Antoniak, Szymon, Ciebiera, Kamil, Król, Krystian, Odrzygóźdź, Tomasz, Sankowski, Piotr, Cygan, Marek, Jaszczur, Sebastian

    Published 12-02-2024
    “…Mixture of Experts (MoE) models have emerged as a primary solution for reducing the computational cost of Large Language Models. In this work, we analyze their…”
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    Journal Article
  9. 9

    Subgoal Search For Complex Reasoning Tasks by Czechowski, Konrad, Odrzygóźdź, Tomasz, Zbysiński, Marek, Zawalski, Michał, Olejnik, Krzysztof, Wu, Yuhuai, Kuciński, Łukasz, Miłoś, Piotr

    Published 25-08-2021
    “…Humans excel in solving complex reasoning tasks through a mental process of moving from one idea to a related one. Inspired by this, we propose Subgoal Search…”
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    Journal Article
  10. 10

    Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search by Zawalski, Michał, Tyrolski, Michał, Czechowski, Konrad, Odrzygóźdź, Tomasz, Stachura, Damian, Piękos, Piotr, Wu, Yuhuai, Kuciński, Łukasz, Miłoś, Piotr

    Published 01-06-2022
    “…Complex reasoning problems contain states that vary in the computational cost required to determine a good action plan. Taking advantage of this property, we…”
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    Journal Article
  11. 11

    Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers by Jiang, Albert Q, Li, Wenda, Tworkowski, Szymon, Czechowski, Konrad, Odrzygóźdź, Tomasz, Miłoś, Piotr, Wu, Yuhuai, Jamnik, Mateja

    Published 22-05-2022
    “…In theorem proving, the task of selecting useful premises from a large library to unlock the proof of a given conjecture is crucially important. This presents…”
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    Journal Article
  12. 12

    Half-page derivation of the Thomas precession by Dragan, Andrzej, Odrzygóźdź, Tomasz

    Published 08-11-2012
    “…Instantaneous derivation of the Thomas precession with only basic vector calculus…”
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    Journal Article
  13. 13

    Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration by Czechowski, Konrad, Odrzygozdz, Tomasz, Izworski, Michal, Zbysinski, Marek, Kucinski, Lukasz, Milos, Piotr

    “…We propose trust-but-verify (TBV) mechanism, a new method which uses model uncertainty estimates to guide exploration. The mechanism augments graph search…”
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    Conference Proceeding