Items where Author is "Vigliensoni:Gabriel::"

Bryan-Kinns, Nick and Zheng, Shuoyang and Castro, Francisco and Lewis, Makayla and Chang, Jia-Rey and Vigliensoni, Gabriel and Broad, Terence and Clemens, Michael and Wilson, Elizabeth (2025) XAIxArts Manifesto: Explainable AI for the Arts. In: CHI 2025, 26 April - 1 May 2025, Yokohama, Japan.

Shimizu, Junichi and Olowe, Ireti and Broad, Terence and Vigliensoni, Gabriel and Thattai Ravikumar, Prashanth and Fiebrink, Rebecca (2023) Interactive Machine Learning for Generative Models. In: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 16 December 2023, New Orleans.

Vigliensoni, Gabriel and Fiebrink, Rebecca (2023) Interacting with neural audio synthesis models through interactive machine learning. In: Explainable AI for the Arts: XAIxArts: ACM Creativity & Cognition 2023, 19 June 2023, Virtual.

Vigliensoni, Gabriel and Fiebrink, Rebecca (2023) Steering latent audio models through interactive machine learning. In: ICCC’23: 14th International Conference on Computational Creativity, 19-23 June 2023, Waterloo, ON, Canada.

Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2022) R-VAE: Live latent space drum rhythm generation from minimal-size datasets. Journal of Creative Music Systems, 1 (1). ISSN 2399-7656

Vigliensoni, Gabriel and Perry, Phoenix and Fiebrink, Rebecca (2022) A Small-Data Mindset for Generative AI Creative Work. In: Generative AI and HCI - CHI 2022 Workshop, 10 May 2022, New Orleans, USA, Online.

Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2020) Generation and visualization of rhythmic latent spaces. In: The 2020 Joint Conference on AI Music Creativity, 19-23 October 2020.

Vigliensoni, Gabriel and McCallum, Louis and Fiebrink, Rebecca (2020) Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. In: International Conference on Computational Creativity (ICCC), 7-11 September 2020.