Zobrazeno 1 - 10
of 11 975
pro vyhledávání: '"P. Matej"'
Publikováno v:
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Manipulability analysis is a methodology employed to assess the capacity of an articulated system, at a specific configuration, to produce motion or exert force in diverse directions. The conventional method entails generating a virtual ellipsoid usi
Externí odkaz:
http://arxiv.org/abs/2412.18869
Keyword extraction involves identifying the most descriptive words in a document, allowing automatic categorisation and summarisation of large quantities of diverse textual data. Relying on the insight that real-world keyword detection often requires
Externí odkaz:
http://arxiv.org/abs/2412.14087
Autor:
Kudrna, Matěj
We attempt to describe moduli space of boundary states in the SU(2)$_k$ WZW model by marginally deformed solutions in open string field theory in the level truncation approximation. In contrast with other solutions for marginal deformations, we const
Externí odkaz:
http://arxiv.org/abs/2412.14024
Autor:
Žust, Lojze, Kristan, Matej
Panoptic segmentation is a fundamental task in computer vision and a crucial component for perception in autonomous vehicles. Recent mask-transformer-based methods achieve impressive performance on standard benchmarks but face significant challenges
Externí odkaz:
http://arxiv.org/abs/2412.10589
We present a significant advancement in the field of Langevin Monte Carlo (LMC) methods by introducing the Inexact Proximal Langevin Algorithm (IPLA). This novel algorithm broadens the scope of problems that LMC can effectively address while maintain
Externí odkaz:
http://arxiv.org/abs/2412.09698
Autor:
Ziewer, Jakob, Ghosh, Abyay, Hanušová, Michaela, Pirker, Luka, Frank, Otakar, Velický, Matěj, Grüning, Myrta, Huang, Fumin
Gold assisted exfoliation (GAE) is a groundbreaking mechanical exfoliation technique, producing centimeter scale single crystal monolayers of 2D materials. Such large, high quality films offer unparalleled advantages over the micron sized flakes typi
Externí odkaz:
http://arxiv.org/abs/2412.05898
Autor:
Schultz, John, Adamek, Jakub, Jusup, Matej, Lanctot, Marc, Kaisers, Michael, Perrin, Sarah, Hennes, Daniel, Shar, Jeremy, Lewis, Cannada, Ruoss, Anian, Zahavy, Tom, Veličković, Petar, Prince, Laurel, Singh, Satinder, Malmi, Eric, Tomašev, Nenad
While large language models perform well on a range of complex tasks (e.g., text generation, question answering, summarization), robust multi-step planning and reasoning remains a considerable challenge for them. In this paper we show that search-bas
Externí odkaz:
http://arxiv.org/abs/2412.12119
Autor:
Jezidžić, Marin, Mihelčić, Matej
We explore diverse representations of speech audio, and their effect on a performance of late fusion ensemble of E-Branchformer models, applied to Automatic Speech Recognition (ASR) task. Although it is generally known that ensemble methods often imp
Externí odkaz:
http://arxiv.org/abs/2412.01861
Autor:
Kratky, Vit, Penicka, Robert, Horyna, Jiri, Stibinger, Petr, Baca, Tomas, Petrlik, Matej, Stepan, Petr, Saska, Martin
In this paper, we introduce an algorithm designed to address the problem of time-optimal formation reshaping in three-dimensional environments while preventing collisions between agents. The utility of the proposed approach is particularly evident in
Externí odkaz:
http://arxiv.org/abs/2412.00603
Autor:
Veličković, Petar, Vitvitskyi, Alex, Markeeva, Larisa, Ibarz, Borja, Buesing, Lars, Balog, Matej, Novikov, Alexander
Recent years have seen a significant surge in complex AI systems for competitive programming, capable of performing at admirable levels against human competitors. While steady progress has been made, the highest percentiles still remain out of reach
Externí odkaz:
http://arxiv.org/abs/2411.19744