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of 5 597
pro vyhledávání: '"P Constant"'
We propose to learn legged robot locomotion skills by watching thousands of wild animal videos from the internet, such as those featured in nature documentaries. Indeed, such videos offer a rich and diverse collection of plausible motion examples, wh
Externí odkaz:
http://arxiv.org/abs/2412.04273
Publikováno v:
2024 IEEE-RAS International Conference on Humanoid Robots (Humanoids)
This paper presents a novel controller for the bipedal robot Bolt. Our approach leverages a whole-body model predictive controller in conjunction with a footstep sequencer to achieve robust locomotion. Simulation results demonstrate effective velocit
Externí odkaz:
http://arxiv.org/abs/2412.01713
Autor:
Dalbec-Constant, Nicolas, Thekkadath, Guillaume, England, Duncan, Sussman, Benjamin, Gerrits, Thomas, Quesada, Nicolás
We compare methods for signal classification applied to voltage traces from transition edge sensors (TES) which are photon-number resolving detectors fundamental for accessing quantum advantages in information processing, communication and metrology.
Externí odkaz:
http://arxiv.org/abs/2411.05737
Autor:
Boix-Constant, Carla, Rybakov, Andrey, Miranda-Pérez, Clara, Martínez-Carracedo, Gabriel, Ferrer, Jaime, Mañas-Valero, Samuel, Coronado, Eugenio
Twisting two-dimensional van der Waals magnets allows the formation and control of different spin-textures, as skyrmions or magnetic domains. Beyond the rotation angle, different spin reversal processes can be engineered by increasing the number of m
Externí odkaz:
http://arxiv.org/abs/2410.21064
Autor:
Alapatt, Varghese, Marques-Moros, Francisco, Boix-Constant, Carla, Manas-Valero, Samuel, Bolotin, Kirill, Canet-Ferrer, Josep, Coronado, Eugenio
Single photons emitters (SPEs) are key components in quantum information applications and are commonly generated in 2D materials by inhomogeneous strain engineering. Here, we report an alternative approach that involves a 2D semiconductor/2D magnet h
Externí odkaz:
http://arxiv.org/abs/2409.04749
Characterizing the density of the thermosphere during geomagnetic storms is critical for both thermosphere modelling efforts and satellite operations. Accurate near-real time density estimates can feed into data assimilation schemes and provide opera
Externí odkaz:
http://arxiv.org/abs/2408.16805
Recent surge in the accessibility of large language models (LLMs) to the general population can lead to untrackable use of such models for medical-related recommendations. Language generation via LLMs models has two key problems: firstly, they are pr
Externí odkaz:
http://arxiv.org/abs/2407.16565
The success of pretrained language models (PLMs) across a spate of use-cases has led to significant investment from the NLP community towards building domain-specific foundational models. On the other hand, in mission critical settings such as biomed
Externí odkaz:
http://arxiv.org/abs/2407.12626
Molecular clouds show complex structures reflecting their non-linear dynamics. Many studies, investigating the bridge between their morphology and physical properties, have shown the interest provided by non-Gaussian higher-order statistics to grasp
Externí odkaz:
http://arxiv.org/abs/2407.09832
Autor:
Bonard, Constant, Cortal, Gustave
Publikováno v:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, Aug 2024, Bangkok, Thailand. pp.264-277
We propose leveraging cognitive science research on emotions and communication to improve language models for emotion analysis. First, we present the main emotion theories in psychology and cognitive science. Then, we introduce the main methods of em
Externí odkaz:
http://arxiv.org/abs/2406.10265