Maddie Cusimano

According to our database, Maddie Cusimano authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-layer attentive probing improves transfer of audio representations for bioacoustics.

Marius Miron, David Robinson, Masato Hagiwara, Titouan Parcollet, Jules Cauzinille, Gagan Narula, Milad Alizadeh, Ellen Gilsenan-McMahon, Sara Keen, Emmanuel Chemla, Benjamin Hoffman, Maddie Cusimano, Diane Kim, Felix Effenberger, Jane Lawton, Aza Raskin, Olivier Pietquin, Matthieu Geist

CoRR, May, 2026

2025

What Matters for Bioacoustic Encoding.

Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist

CoRR, August, 2025

Fewshot Animal Sound Detection 13 (FASD13).

Benjamin Hoffman, David Robinson, Marius Miron, Vittorio Baglione, Daniela Canestrari, Damian Elias, Eva Trapote Villalaín, Felix Effenberger, Maddie Cusimano, Masato Hagiwara, Olivier Pietquin

Dataset, July, 2025

Voxaboxen Data.

Benjamin Hoffman, Louis Mahon, Logan S. James, Maddie Cusimano, Masato Hagiwara, Sarah C. Woolley, Olivier Pietquin

Dataset, May, 2025

Robust detection of overlapping bioacoustic sound events.

Louis Mahon, Benjamin Hoffman, Logan S. James, Maddie Cusimano, Masato Hagiwara, Sarah C. Woolley, Olivier Pietquin

CoRR, March, 2025

Biodenoising: Animal Vocalization Denoising without Access to Clean Data.

Marius Miron, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin, Felix Effenberger, Maddie Cusimano

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2023

A benchmark for computational analysis of animal behavior, using animal-borne tags.

Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender, Christian Rutz

CoRR, 2023

BEANS: The Benchmark of Animal Sounds.

Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, Maddie Cusimano, Felix Effenberger, Katie Zacarian

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Modeling Animal Vocalizations through Synthesizers.

Masato Hagiwara, Maddie Cusimano, Jen-Yu Liu

CoRR, 2022

Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind.

Sean Dae Houlihan, Desmond C. Ong, Maddie Cusimano, Rebecca Saxe

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Object-Based Synthesis of Scraping and Rolling Sounds Based on Non-Linear Physical Constraints.

Vinayak Agarwal, Maddie Cusimano, James Traer, Josh H. McDermott

Proceedings of the 24th International Conference on Digital Audio Effects, 2021

2019

Scrape, rub, and roll: causal inference in the perception of sustained contact sounds.

Maddie Cusimano, Josh H. McDermott

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Auditory scene analysis as Bayesian inference in sound source models.

Maddie Cusimano, Luke B. Hewitt, Josh Tenenbaum, Josh H. McDermott

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018