Biblio
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, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “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.
, “Background-Conditioned Diffusion Inversion for Seismic Velocity Models”, in ML4SEISMIC Partners Meeting, 2025.
, “BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
, “CO2 Enhanced Oil Recovery Through Digital Shadow Modeling”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Combining checkpointing and data compression to accelerate adjoint-based optimization problems”, Euro-Par 2019: Parallel Processing, pp. 87-100, 2019.
, “Context- and uncertainty-aware Digital Twins for Integrated Reservoir Management”, in SEG/SPE 2nd Integrated Reservoir Characterization, Surveillance, and Management Workshop: Advances and Challenges, 2025.
, “Context-aware Digital Twin for Underground Storage”, in Artificial Intelligence and Digital Twins for Earth Systems 2025, Austin, TX, 2025.
, “Context-Aware Digital Twin for Underground Storage Operations and Decision Making”, in Data Assimilation and Inverse Problems for Digital Twins Workshop 205, IMSI, Chicago, 2025.
, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
, “Deep generative models for solving geophysical inverse problems”, Georgia Institute of Technology, Atlanta, 2022.
, “Digital Shadow for CO2-based Enhanced Oil Recovery (CO2-EOR)”, in ML4SEISMIC Partners Meeting, 2025.
, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, ML4SEISMIC Partners Meeting. 2024.
, “Digital Twins in the era of generative AI - Application to Geological CO2 Storage”, ICL Seminar. 2024.
, “Domain-specific abstractions for full-waveform inversion”, in SIAM Conference on Computational Science and Engineering, 2017.
, “Efficient and scalable posterior surrogate for seismic inversion via wavelet 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.
