Daniel O'Malley

65 papers A* 1A 1C 1Misc 4Journal 50Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading. CoRR Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Aleksandra Pachalieva, Bradley C. Love, Daniel O'Malley, Alexander Scheinker, Kyle Hickmann, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas
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`	Block encoding the 3D heterogeneous Poisson equation with application to fracture flow. CoRR Austin Pechan, John Golden, Daniel O'Malley
2025	J	`jnl`	Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management. CoRR Harun Ur Rashid, Aleksandra Pachalieva, Daniel O'Malley
2025	J	`jnl`	LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study. CoRR Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer, Ayan Biswas, Daniel O'Malley, Alexander Most, Selma Liliane Wanna, Ajay Sreekumar
2025	A*	`conf`	Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout. ICLR Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar
2025	J	`jnl`	Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout. CoRR Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar
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	C	`conf`	Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. ISC Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John Golden, Satyajayant Misra
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`	Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction. CoRR Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer
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
2023	J	`jnl`	Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media. CoRR Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley, James Mac Hyman, Fred J. Hickernell, Nicolas W. Hengartner
2023	J	`jnl`	DPFEHM: a differentiable subsurface physics simulator. J. Open Source Softw. Daniel O'Malley, Sarah Y. Greer, Aleksandra Pachalieva, Wu Hao, Dylan Robert Harp, Velimir V. Vesselinov
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`	Early steps toward practical subsurface computations with quantum computing. Frontiers Comput. Sci. Sarah Y. Greer, Daniel O'Malley
2023	J	`jnl`	Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. CoRR Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John Golden, Satyajayant Misra
2023	J	`jnl`	Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
2023	Misc	`conf`	Numerical Evidence for Exponential Speed-Up of QAOA over Unstructured Search for Approximate Constrained Optimization. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2023	J	`jnl`	Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
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	Misc	`conf`	The Quantum Alternating Operator Ansatz for Satisfiability Problems. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2023	J	`jnl`	The Quantum Alternating Operator Ansatz for Satisfiability Problems. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2022	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search. CoRR John Golden, Andreas Bärtschi, Stephan J. Eidenbenz, Daniel O'Malley
2022	J	`jnl`	Fair Sampling Error Analysis on NISQ Devices. ACM Trans. Quantum Comput. John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2022	J	`jnl`	Machine Learning in Heterogeneous Porous Materials. CoRR Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki
2022	J	`jnl`	Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management. CoRR Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari S. Viswanathan
2022	J	`jnl`	Quantum Algorithm Implementations for Beginners. ACM Trans. Quantum Comput. Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov
2022	J	`jnl`	Quantum Algorithms for Geologic Fracture Networks. CoRR Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, Daniel O'Malley
2022	J	`jnl`	Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	—	`conf`	Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	J	`jnl`	Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	—	`conf`	Interrogating the performance of quantum annealing for the solution of steady-state subsurface flow. HPEC Jessie M. Henderson, Daniel O'Malley, Hari S. Viswanathan
2021	J	`jnl`	Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas
2021	J	`jnl`	Pre- and post-processing in quantum-computational hydrologic inverse analysis. Quantum Inf. Process. John K. Golden, Daniel O'Malley
2021	J	`jnl`	QAOA-based Fair Sampling on NISQ Devices. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2021	Misc	`conf`	Sampling on NISQ Devices: "Who's the Fairest One of All?". QCE Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Sampling on NISQ Devices: "Who's the Fairest One of All?". CoRR Elijah Pelofske, John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	Misc	`conf`	Threshold-Based Quantum Optimization. QCE John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2021	J	`jnl`	Threshold-Based Quantum Optimization. CoRR John Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz
2020	—	`conf`	Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. HPEC Daniel O'Malley, John K. Golden
2020	J	`jnl`	Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations. CoRR Daniel O'Malley, John K. Golden
2020	J	`jnl`	Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. J. Comput. Phys. Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez
2020	—	`conf`	Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS Maruti Kumar Mudunuru, Daniel O'Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew R. Sweeney, Luke Frash, Bill Carey, Michael R. Gross, Nathan J. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan
2020	J	`jnl`	Reverse Annealing for Nonnegative/Binary Matrix Factorization. CoRR John Golden, Daniel O'Malley
2020	—	`conf`	Tucker-1 Boolean Tensor Factorization with Quantum Annealers. ICRC Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
2020	J	`jnl`	Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya
2019	J	`jnl`	Learning to regularize with a variational autoencoder for hydrologic inverse analysis. CoRR Daniel O'Malley, John K. Golden, Velimir V. Vesselinov
2019	J	`jnl`	Pre- and post-processing in quantum-computational hydrologic inverse analysis. CoRR John K. Golden, Daniel O'Malley
2018	J	`jnl`	Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices. SIAM/ASA J. Uncertain. Quantification Elizabeth Qian, Benjamin Peherstorfer, Daniel O'Malley, Velimir V. Vesselinov, Karen Willcox
2017	—	`conf`	Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
2017	J	`jnl`	Nonnegative/binary matrix factorization with a D-Wave quantum annealer. CoRR Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov
2016	—	`conf`	ToQ.jl: A high-level programming language for D-Wave machines based on Julia. HPEC Daniel O'Malley, Velimir V. Vesselinov
2014	J	`jnl`	A Combined Probabilistic/Nonprobabilistic Decision Analysis for Contaminant Remediation. SIAM/ASA J. Uncertain. Quantification Daniel O'Malley, Velimir V. Vesselinov