Zobrazeno 1 - 10
of 6 270
pro vyhledávání: '"Jarek, A."'
Autor:
Duda, Jarek
While naively laser only causes excitation of external target, for example STED microscopy demonstrates it can also cause its deexitation, however, under uncommon condition of being prepared as excited. These two causalities are governed by stimulate
Externí odkaz:
http://arxiv.org/abs/2409.15399
Autor:
Duda, Jarek
While quantum computers assume existence of state preparation process $|0\rangle$, CPT symmetry of physics says that performing such process in CPT symmetry perspective, e.g. reversing used EM impulses ($V(t)\to V(-t)$), we should get its symmetric a
Externí odkaz:
http://arxiv.org/abs/2408.05812
Autor:
Pignatelli, Eduardo, Liesen, Jarek, Lange, Robert Tjarko, Lu, Chris, Castro, Pablo Samuel, Toni, Laura
As Deep Reinforcement Learning (Deep RL) research moves towards solving large-scale worlds, efficient environment simulations become crucial for rapid experimentation. However, most existing environments struggle to scale to high throughput, setting
Externí odkaz:
http://arxiv.org/abs/2407.19396
Autor:
Kędra, Jarek, Libman, Assaf
We prove that a homomorphism between free groups of finite rank equipped with the bi-invariant word metrics is a quasi-isometry if and only if it is an isomorphism.
Comment: 10 pages
Comment: 10 pages
Externí odkaz:
http://arxiv.org/abs/2407.18027
Autor:
Noor, Mah, Duda, Jarek
Two-way quantum computers (2WQC) are proposed extension of standard 1WQC: adding conjugated state preparation operation $\langle 0|$ similar to postselection $|0\ra \langle 0|$, by performing a process which from perspective of CPT symmetry is the or
Externí odkaz:
http://arxiv.org/abs/2407.15623
Hierarchical segmentation entails creating segmentations at varying levels of granularity. We introduce the first hierarchical semantic segmentation dataset with subpart annotations for natural images, which we call SPIN (SubPartImageNet). We also in
Externí odkaz:
http://arxiv.org/abs/2407.09686
The increasing complexity of digital asset transactions across multiple blockchains necessitates a robust atomic swap protocol that can securely handle more than two participants. Traditional atomic swap protocols, including those based on adaptor si
Externí odkaz:
http://arxiv.org/abs/2406.16822
Dataset distillation aims to condense large datasets into a small number of synthetic examples that can be used as drop-in replacements when training new models. It has applications to interpretability, neural architecture search, privacy, and contin
Externí odkaz:
http://arxiv.org/abs/2406.15042
Autor:
Liesen, Jarek, Lu, Chris, Lupu, Andrei, Foerster, Jakob N., Sprekeler, Henning, Lange, Robert T.
Reinforcement learning (RL) agents are commonly trained and evaluated in the same environment. In contrast, humans often train in a specialized environment before being evaluated, such as studying a book before taking an exam. The potential of such s
Externí odkaz:
http://arxiv.org/abs/2406.12589
Autor:
Duda, Jarek
Biological neural networks seem qualitatively superior (e.g. in learning, flexibility, robustness) to current artificial like Multi-Layer Perceptron (MLP) or Kolmogorov-Arnold Network (KAN). Simultaneously, in contrast to them: biological have fundam
Externí odkaz:
http://arxiv.org/abs/2405.05097