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pro vyhledávání: '"Melnik P"'
Recently, the STEVE-1 approach has been introduced as a method for training generative agents to follow instructions in the form of latent CLIP embeddings. In this work, we present a methodology to extend the control modalities by learning a mapping
Externí odkaz:
http://arxiv.org/abs/2412.00949
Experience Goal Visual Rearrangement task stands as a foundational challenge within Embodied AI, requiring an agent to construct a robust world model that accurately captures the goal state. The agent uses this world model to restore a shuffled scene
Externí odkaz:
http://arxiv.org/abs/2411.14322
Phenotypic plasticity is a key factor in driving the evolution of species in the predator-prey interaction. The natural environment is replete with phenotypic plasticity, which is the source of inducible defences against predators, including concealm
Externí odkaz:
http://arxiv.org/abs/2411.10551
This paper introduces a method to enhance Interactive Imitation Learning (IIL) by extracting touch interaction points and tracking object movement from video demonstrations. The approach extends current IIL systems by providing robots with detailed k
Externí odkaz:
http://arxiv.org/abs/2411.03555
Autor:
Shaheen, Hina, Melnik, Roderick
It is essential to understand the complex structure of the human brain to develop new treatment approaches for neurodegenerative disorders (NDDs). This review paper comprehensively discusses the challenges associated with modelling the complex brain
Externí odkaz:
http://arxiv.org/abs/2410.23445
Autor:
Shaheen, Hina, Melnik, Roderick
Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the central nervous system. It is usually defined as the gradual loss of dopaminergic neurons in the substantia nigra pars compacta, which causes both motor and
Externí odkaz:
http://arxiv.org/abs/2410.23429
Autor:
Thieu, Thoa, Melnik, Roderick
Neuronal oscillations are related to symptoms of Parkinson's disease. The random inputs could affect such oscillations in the brain states that translate collective activities of neurons interconnected via synaptic connections. In this paper, we stud
Externí odkaz:
http://arxiv.org/abs/2410.16123
In recent yerars, Bismuth sodium titanate (BNT) and BNT-based piezoelectric materials have proved potential for lead-free piezoelectric technologies. Such materials' complicated phase structure is crucial to their thermo-electromechanical behaviour.
Externí odkaz:
http://arxiv.org/abs/2410.04548
Autor:
Melnik, Anna, Podzolkova, Ekaterina
We studied the model of the Galaxy with a bar which reproduces well the distributions of the observed radial, VR, and azimuthal, VT, velocities derived from the Gaia DR3 data along the Galactocentric distance R. The model profiles of the distribution
Externí odkaz:
http://arxiv.org/abs/2409.17094
Autor:
Kaupuzs, Jevgenijs, Melnik, Roderick
Monte Carlo (MC) simulations have been performed for a refined estimation of the correction-to-scaling exponent omega in the 2D phi^4 model. The best estimate omega=1.546(30) has been obtained from the finite-size scaling of the susceptibility data i
Externí odkaz:
http://arxiv.org/abs/2407.09856