Javier E. Santos

According to our database, Javier E. Santos authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

pySimFrac: A Python library for synthetic fracture generation and analysis.

Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman

Comput. Geosci., 2024

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation.

Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley

CoRR, 2024

Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty.

Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos

CoRR, 2024

Machine learned reconstruction of tsunami dynamics from sparse observations.

Edward McDugald, Arvind T. Mohan, Darren Engwirda, Agnese Marcato, Javier E. Santos

CoRR, 2024

Benchmarking Large Language Models with Integer Sequence Generation Tasks.

Daniel O'Malley, Manish Bhattarai, Javier E. Santos

CoRR, 2024

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation.

Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley

CoRR, 2024

Information Extraction from Historical Well Records Using A Large Language Model.

Zhiwei Ma, Javier E. Santos, Greg Lackey, Hari S. Viswanathan, Daniel O'Malley

CoRR, 2024

2023

Development of the Senseiver for efficient field reconstruction from sparse observations.

Javier E. Santos, Zachary R. Fox, Arvind T. Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers

Nat. Mac. Intell., October, 2023

Mitigation of spatial nonstationarity with vision transformers.

Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz

Comput. Geosci., September, 2023

Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization.

Agnese Marcato, Daniel O'Malley, Hari S. Viswanathan, Eric Guiltinan, Javier E. Santos

CoRR, 2023

Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules.

Javier E. Santos, Yen Ting Lin

CoRR, 2023

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces.

Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin

Proceedings of the International Conference on Machine Learning, 2023

2022

GLUE Code: A framework handling communication and interfaces between scales.

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

J. Open Source Softw., December, 2022

MPLBM-UT: Multiphase LBM library for permeable media analysis.

Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc Andre Hesse, Michael J. Pyrcz, Masa Prodanovic

SoftwareX, 2022

MudrockNet: Semantic segmentation of mudrock SEM images through deep learning.

Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken

Comput. Geosci., 2022

Predictive Scale-Bridging Simulations through Active Learning.

Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael M. McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan

CoRR, 2022

2021

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media.

Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers

CoRR, 2021

2020

Modeling nanoconfinement effects using active learning.

Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan

CoRR, 2020