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pro vyhledávání: '"Pasquier, Philippe"'
In this paper, we map out the landscape of options available to visual artists for creating personal artworks, including crafting, adapting and navigating deep generative models. Following that, we argue for revisiting model crafting, defined as the
Externí odkaz:
http://arxiv.org/abs/2404.17688
Non-technical end-users are silent and invisible users of the state-of-the-art explainable artificial intelligence (XAI) technologies. Their demands and requirements for AI explainability are not incorporated into the design and evaluation of XAI tec
Externí odkaz:
http://arxiv.org/abs/2302.06609
The boundaries of existing explainable artificial intelligence (XAI) algorithms are confined to problems grounded in technical users' demand for explainability. This research paradigm disproportionately ignores the larger group of non-technical end u
Externí odkaz:
http://arxiv.org/abs/2208.08739
Autor:
Pasquier, Philippe, Lamarche, Louis
Groundwater flow can have a significant impact on the thermal response of ground heat exchangers. The moving infinite line source model is thus widely used in practice as it considers both conductive and advective heat transfert processes. Solution o
Externí odkaz:
http://arxiv.org/abs/2204.07797
Publikováno v:
In Geothermics May 2024 119
The ability to explain decisions to end-users is a necessity to deploy AI as critical decision support. Yet making AI explainable to non-technical end-users is a relatively ignored and challenging problem. To bridge the gap, we first identify twelve
Externí odkaz:
http://arxiv.org/abs/2102.02437
Publikováno v:
In Applied Thermal Engineering 5 January 2024 236 Part C
Autor:
Ens, Jeff, Pasquier, Philippe
We propose the Multi-Track Music Machine (MMM), a generative system based on the Transformer architecture that is capable of generating multi-track music. In contrast to previous work, which represents musical material as a single time-ordered sequen
Externí odkaz:
http://arxiv.org/abs/2008.06048
Autor:
Ens, Jeff, Pasquier, Philippe
Publikováno v:
In Proceedings of the International Symposium on Music Information Retrieval. Vol. 20. 2019, 870-877
Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks. Although human similarity judgments are the gold standard, computational
Externí odkaz:
http://arxiv.org/abs/2003.06226
Whether literally or suggestively, the concept of soundscape is alluded in both modern and ancient music. In this study, we examine whether we can analyze and compare Western and Chinese classical music based on soundscape models. We addressed this q
Externí odkaz:
http://arxiv.org/abs/2002.09021