Biblio
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, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, in Reduced Order and Surrogate Modeling for Digital Twins, IMSI, Chicago, 2025.
, “Attention Please: Getting the Most from CIGs with Learned Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Attention Please: Getting the Most from CIGs with Learned Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Background-Conditioned Diffusion Inversion for Seismic Velocity Models”, in ML4SEISMIC Partners Meeting, 2025.
, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
, “Full-waveform variational inference with common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Power-scaled Bayesian inference for velocity-model estimation”, in ML4SEISMIC Partners Meeting, 2025.
, “Power-scaled Bayesian inference with score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Reconstructing reservoir states from multimodal data via score-based generative models”, in ML4SEISMIC Partners Meeting, 2025.
, “Self-attention summary networks for velocity model building from common-image gathers”, in ML4SEISMIC Partners Meeting, 2025.
, “Self-attention summary networks for velocity model building from common-image gathers”, in ML4SEISMIC Partners Meeting, 2025.
, “Towards foundation models for subsurface priors and posteriors”, in Workshop on Scientific Machine Learning 2025, Austin, TX, 2025.
, “Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.
, “Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data”, ML4SEISMIC Partners Meeting. 2024.
, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
, “Reconstructing Permeability and Saturation in Reservoir Simulation Using Diffusion PDE Models”, ML4SEISMIC Partners Meeting. 2024.
, “3D seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Large scale wavefield reconstruction via weighted matrix factorization and seismic survey design”, Georgia Institute of Technology, Atlanta, 2023.
, “Optimized time-lapse acquisition design via spectral gap ratio minimization”, Geophysics, vol. 88, pp. A19-A23, 2023.
, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
