ML4SEISMIC TALKS

2022

  • Gathering Insights on DHI Attributes via Explainable Machine Learning by Ahmad Mustafa and Ghassan AlRegib, OLIVES.

  • A Causal Analysis of DHI Risk Assessment by Prithwijit Chowdhury, Ghassan AlRegib, Mohit Prabhushankar, and Ahmad Mustafa, OLIVES.

  • Manufacturing Trust in Seismic-Aware Neural Networks by Mohit Prabhushankar, Ahmad Mustafa, Ryan Benkert, and Prithwijit Chowdhury, OLIVES.

  • Contrastive Learning Opportunities in Seismic by Kiran Kokilepersaud, Mohit Prabhushankar, and Ghassan AlRegib, OLIVES.

  • Regression in Active Learning by Ryan Benkert, Mohit Prabhushankar, and Ghassan AlRegib, OLIVES.

  • Deployable Active Learning by Yash-yee Logan, Mohit Prabhushankar, and Ghassan AlRegib, OLIVES.

  • Robust Active Learning for Seismic Interpretation by Ahmad Mustafa and Ghassan AlRegib, OLIVES.

  • Quantifying Human Label Uncertainty by Chen Zhou, Mohit Prabhushankar, and Ghassan AlRegib, OLIVES.

  • Developing Reliable Uncertainty Estimates for Seismic Interpretation by Ryan Benkert, Mohit Prabhushankar, and Ghassan AlRegib, OLIVES.

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