Javier E. Santos

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Active Learning

Semantic Segmentation

Diffusion Models

Top Venues

Comput. Geosci.

Nat. Mac. Intell.

Publications

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 (2024)
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 (2024)
Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman
pySimFrac: A Python library for synthetic fracture generation and analysis. Comput. Geosci. 191 (2024)
Javier E. Santos, Yen Ting Lin
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules. CoRR (2023)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. CoRR (2023)
Javier E. Santos, Zachary R. Fox, Arvind Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. 5 (11) (2023)
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 (2023)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. ICML (2023)
Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. 178 (2023)
Aleksandra Pachalieva, Robert S. Pavel, Javier E. Santos, Abdourahmane Diaw, Nicholas Lubbers, Mohammed Mehana, Jeffrey R. Haack, Hari S. Viswanathan, Daniel Livescu, Timothy C. Germann, Christoph Junghans
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7 (80) (2022)
Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc A. Hesse, Michael J. Pyrcz, Masa Prodanovic
MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX 18 (2022)
Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR (2022)
Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken
MudrockNet: Semantic segmentation of mudrock SEM images through deep learning. Comput. Geosci. 158 (2022)
Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
Predictive Scale-Bridging Simulations through Active Learning. CoRR (2022)
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 (2021)
Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. CoRR (2021)
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 (2020)