RT @kaggle: 📣 Competition Launch Alert! Geophysical Waveform Inversion hosted by @Yale & @UNC . 🎯 Develop physics-guided ML models to solve….

RT @SunDevilHoops: The Reaction Says it All 🙌

RT @smousavi05: It is interesting to see how the focus of applications of neural networks in seismology has changed over time. #DeepLearnin….

RT @SeisMiaoZhang: Please check out our recent collaborative work in JGR (co-supervised with Dr. Yuozuo Lin @YouzuoLin1). We develop a Spa….

Very excited to share our OpenFWI was accepted by #NeurIPS. Great job Chengyuan, Shihang, and everyone contributing to this effort! .OpenFWI:

I am extremely happy to share that the #ICML2022 submission by us has been accepted for a short presentation. We show an interesting near-linear relationship after applying the integral transform. Great job, Yinan & the team! . Here is our work:

RT @LosAlamosNatLab: It wasn't dinosaurs' best day ever. Watch LANL scientist Cathy Plesko talk about #asteroid impacts and how to deflect….

Excited to share our newest review paper on the topic of Physics-Informed Data-Driven Seismic Inversion. Here is the work:

You don't have sufficient seismic velocity maps to train your data-driven inversion models? . Hey, our method turns natural images into velocity maps. Check it out below:. Paper:

Look forward to the upcoming SEG Workshop on Data Analytics and Machine Learning for Exploration and Production! Here is the agenda to download:

Excited to share our ICLR work "Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential in a Loop", as a poster presentation this year! Nice job, Peng and Xitong! 👍. Paper:

My first Twitter Message!!.