Javier E. Santos

32 papers A* 1A 1Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Foundation Model for Material Fracture Prediction. CoRR Agnese Marcato, Aleksandra Pachalieva, Ryley G. Hill, Kai Gao, Xiaoyu Wang, Esteban Rougier, Zhou Lei, Vinamra Agrawal, Janel Chua, Qinjun Kang, Jeffrey D. Hyman, Abigail Hunter, Nathan DeBardeleben, Earl Lawrence, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2025	J	`jnl`	ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement. CoRR Manish Bhattarai, Miguel Cordova, Javier E. Santos, Dan O'Malley
2025	J	`jnl`	Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching. CoRR An B. Vuong, Michael T. McCann, Javier E. Santos, Yen Ting Lin
2025	J	`jnl`	Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching. Trans. Mach. Learn. Res. An Vuong, Michael Thompson McCann, Javier E. Santos, Yen Ting Lin
2025	J	`jnl`	Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. Mach. Learn. Sci. Technol. Charles J. Abolt, Javier E. Santos, Adam Atchley, Lucas A. Wells, Daithi Martin, Russell Parsons, Rodman R. Linn
2025	J	`jnl`	Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling. CoRR Javier E. Santos, Agnese Marcato, Roman Colman, Nicholas Lubbers, Yen Ting Lin
2025	A	`conf`	PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. WACV Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2025	J	`jnl`	The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface. CoRR Arnab Mazumder, Javier E. Santos, Noah Hobbs, Mohamed Mehana, Daniel O'Malley
2024	J	`jnl`	Benchmarking Large Language Models with Integer Sequence Generation Tasks. CoRR Daniel O'Malley, Manish Bhattarai, Javier E. Santos
2024	—	`conf`	Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. HPEC Manish Bhattarai, Javier E. Santos, Shawn M. Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
2024	J	`jnl`	Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation. CoRR Manish Bhattarai, Javier E. Santos, Shawn M. Jones, Ayan Biswas, Boian S. Alexandrov, Daniel O'Malley
2024	J	`jnl`	Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. CoRR Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley
2024	J	`jnl`	Information Extraction from Historical Well Records Using A Large Language Model. CoRR Zhiwei Ma, Javier E. Santos, Greg Lackey, Hari S. Viswanathan, Daniel O'Malley
2024	J	`jnl`	Journey over destination: dynamic sensor placement enhances generalization. Mach. Learn. Sci. Technol. Agnese Marcato, Eric Guiltinan, Hari S. Viswanathan, Daniel O'Malley, Nicholas Lubbers, Javier E. Santos
2024	J	`jnl`	Learning a general model of single phase flow in complex 3D porous media. Mach. Learn. Sci. Technol. Javier E. Santos, Agnese Marcato, Qinjun Kang, Mohamed Mehana, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
2024	J	`jnl`	Machine learned reconstruction of tsunami dynamics from sparse observations. CoRR Edward McDugald, Arvind T. Mohan, Darren Engwirda, Agnese Marcato, Javier E. Santos
2024	J	`jnl`	Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty. CoRR Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2024	J	`jnl`	pySimFrac: A Python library for synthetic fracture generation and analysis. Comput. Geosci. Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman
2023	A*	`conf`	Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. ICML Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
2023	J	`jnl`	Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. CoRR Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
2023	J	`jnl`	Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. Javier E. Santos, Zachary R. Fox, Arvind T. Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
2023	J	`jnl`	Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
2023	J	`jnl`	Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. CoRR Agnese Marcato, Daniel O'Malley, Hari S. Viswanathan, Eric Guiltinan, Javier E. Santos
2023	J	`jnl`	Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules. CoRR Javier E. Santos, Yen Ting Lin
2022	J	`jnl`	GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 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
2022	J	`jnl`	MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc Andre Hesse, Michael J. Pyrcz, Masa Prodanovic
2022	J	`jnl`	Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
2022	J	`jnl`	MudrockNet: Semantic segmentation of mudrock SEM images through deep learning. Comput. Geosci. Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken
2022	J	`jnl`	Predictive Scale-Bridging Simulations through Active Learning. CoRR 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
2021	J	`jnl`	MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. CoRR Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken
2021	J	`jnl`	Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers
2020	J	`jnl`	Modeling nanoconfinement effects using active learning. CoRR Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan