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Javier E. Santos
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2020 – today
- 2024
- [j6]Eric Guiltinan
, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman:
pySimFrac: A Python library for synthetic fracture generation and analysis. Comput. Geosci. 191: 105665 (2024) - [i10]Zhiwei Ma, Javier E. Santos, Greg Lackey, Hari S. Viswanathan, Daniel O'Malley:
Information Extraction from Historical Well Records Using A Large Language Model. CoRR abs/2405.05438 (2024) - [i9]Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley:
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR abs/2407.19619 (2024) - 2023
- [j5]Lei Liu
Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. 178: 105412 (2023) - [j4]Javier E. Santos
Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. 5(11): 1317-1325 (2023) - [c1]Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin:
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. ICML 2023: 9034-9059 - [i8]Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin:
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. CoRR abs/2305.11089 (2023) - [i7]Javier E. Santos, Yen Ting Lin
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules. CoRR abs/2311.17673 (2023) - [i6]Agnese Marcato, Daniel O'Malley, Hari S. Viswanathan, Eric Guiltinan, Javier E. Santos:
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. CoRR abs/2312.09176 (2023) - 2022
- [j3]Abhishek Bihani
MudrockNet: Semantic segmentation of mudrock SEM images through deep learning. Comput. Geosci. 158: 104952 (2022) - [j2]Aleksandra Pachalieva
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7(80): 4822 (2022) - [j1]Javier E. Santos
MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX 18: 101097 (2022) - [i5]Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva
Predictive Scale-Bridging Simulations through Active Learning. CoRR abs/2209.09811 (2022) - [i4]Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz:
Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR abs/2212.04633 (2022) - 2021
- [i3]Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken:
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. CoRR abs/2102.03393 (2021) - [i2]Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers:
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR abs/2102.07625 (2021) - 2020
- [i1]Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan:
Modeling nanoconfinement effects using active learning. CoRR abs/2005.02587 (2020)
Coauthor Index
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