Benjamin Hoffman

According to our database, Benjamin Hoffman authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Benchmarking LLM-Driven Network Configuration Repair.

Ioannis Protogeros, Rufat Asadli, Benjamin Hoffman, Laurent Vanbever

CoRR, April, 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

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, March, 2025

Learning More With Less: Sample Efficient Dynamics Learning and Model-Based RL for Loco-Manipulation.

Benjamin Hoffman, Jin Cheng, Chenhao Li, Stelian Coros

CoRR, January, 2025

Towards Network Model Generalization using Strategic Data Collection.

Benjamin Hoffman, Alexander Dietmüller, Laurent Vanbever

Proceedings of the ACM SIGCOMM 2025 Posters and Demos, 2025

Into the Wild: Real-World Testing for ML-Based ABR.

Benjamin Hoffman, Alexander Dietmüller, Ayush Mishra, Laurent Vanbever

Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, 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