Maddie Cusimano

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Abductive Reasoning

Physical Constraints

Bayesian Models

Top Venues

Publications

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
A benchmark for computational analysis of animal behavior, using animal-borne tags. CoRR (2023)
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, Maddie Cusimano, Felix Effenberger, Katie Zacarian
BEANS: The Benchmark of Animal Sounds. ICASSP (2023)
Masato Hagiwara, Maddie Cusimano, Jen-Yu Liu
Modeling Animal Vocalizations through Synthesizers. CoRR (2022)
Sean D. Houlihan, Desmond C. Ong, Maddie Cusimano, Rebecca Saxe
Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. CogSci (2022)
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, Maddie Cusimano, Felix Effenberger, Katie Zacarian
BEANS: The Benchmark of Animal Sounds. CoRR (2022)
Vinayak Agarwal, Maddie Cusimano, James Traer, Josh H. McDermott
Object-based synthesis of scraping and rolling sounds based on non-linear physical constraints. CoRR (2021)
Vinayak Agarwal, Maddie Cusimano, James Traer, Josh H. McDermott
Object-Based Synthesis of Scraping and Rolling Sounds Based on Non-Linear Physical Constraints. DAFx (2021)
Maddie Cusimano, Josh H. McDermott
Scrape, rub, and roll: causal inference in the perception of sustained contact sounds. CogSci (2019)
Maddie Cusimano, Luke B. Hewitt, Josh Tenenbaum, Josh H. McDermott
Auditory scene analysis as Bayesian inference in sound source models. CogSci (2018)