Brooklyn Berry

According to our database, Brooklyn Berry authored at least 4 papers between 2024 and 2025.

Collaborative distances:

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

2025

Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing.

Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao

Proceedings of the International Conference on Machine Learning and Applications, 2025

An Efficient Self-Supervised Learning Framework for Swarm Robot Trajectory Analysis.

Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao

Proceedings of the IEEE International Conference on Data Mining, 2025

Symbol-Temporal Consistency Self-Supervised Learning for Robust Time Series Classification.

Kevin Garcia, Cassandra Garza, Brooklyn Berry, Yifeng Gao

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024

Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition.

Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas

CoRR, 2024