Karianne Bergen

According to our database, Karianne Bergen authored at least 7 papers between 2016 and 2026.

Collaborative distances:

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

2026

Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks.

Anushka Narayanan, Karianne J. Bergen

CoRR, February, 2026

2025

HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model.

Peter Van Katwyk, Karianne Bergen

Trans. Mach. Learn. Res., 2025

2024

Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences.

Anushka Narayanan, Karianne J. Bergen

CoRR, 2024

Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method.

Hilarie Sit, Brendan Keith, Karianne Bergen

CoRR, 2024

2023

Scientific discovery in the age of artificial intelligence.

Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik

Nat., 2023

2018

Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science.

Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Alexander Levis, Gregory C. Beroza

Proc. VLDB Endow., 2018

2016

Scalable Similarity Search in Seismology: A New Approach to Large-Scale Earthquake Detection.

Karianne Bergen, Clara Yoon, Gregory C. Beroza

Proceedings of the Similarity Search and Applications - 9th International Conference, 2016