BEANS: The Benchmark of Animal Sounds. - Masato Hagiwara; Benjamin Hoffman; Jen-Yu Liu; Maddie Cusimano; Felix Effenberger; Katie Zacarian (ICASSP, 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; et al. (CoRR, 2023)

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 (ICASSP, 2025)

Learning More With Less: Sample Efficient Dynamics Learning and Model-Based RL for Loco-Manipulation. - Benjamin Hoffman; Jin Cheng 002; Chenhao Li; Stelian Coros (CoRR, 2025)

Synthetic data enables context-aware bioacoustic sound event detection. - Benjamin Hoffman; David Robinson; Marius Miron; Vittorio Baglione; Daniela Canestrari; Damian Elias; Eva Trapote; Olivier Pietquin (CoRR, 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, 2025)