Eliu A. Huerta

72 papers A* 2B 2Misc 1Journal 63Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. EMNLP (Findings) Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. CoRR Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens
2025	J	`jnl`	MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. CoRR Xiaoli Yan, Nathaniel Hudson, Hyun Park, Daniel Grzenda, J. Gregory Pauloski, Marcus Schwarting, Haochen Pan, Hassan Harb, Sam Foreman, Chris Knight, Tom Gibbs, Kyle Chard, Santanu Chaudhuri, Emad Tajkhorshid, Ian T. Foster, Mohamad Moosavi, Logan T. Ward, Eliu A. Huerta
2025	J	`jnl`	Machine Learning-Driven Conservative-to-Primitive Conversion in Hybrid Piecewise Polytropic and Tabulated Equations of State. Symmetry Semih Kacmaz, Roland Haas, Eliu A. Huerta
2025	J	`jnl`	Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark. CoRR Minhui Zhu, Minyang Tian, Xiaocheng Yang, Tianci Zhou, Penghao Zhu, Eli Chertkov, Shengyan Liu, Yufeng Du, Lifan Yuan, Ziming Ji, Indranil Das, Junyi Cao, Jinchen He, Yifan Su, Jiabin Yu, Yikun Jiang, Yujie Zhang, Chang Liu, Ze-Min Huang, Weizhen Jia, Xinan Chen, Peixue Wu, Yunkai Wang, Juntai Zhou, Yong Zhao, Farshid Jafarpour, Jessie Shelton, Aaron Young, John Bartolotta, Wenchao Xu, Yue Sun, Anjun Chu, Victor Colussi, Chris Akers, Nathan Brooks, Wenbo Fu, Christopher Wilson, Jinchao Zhao, Marvin Qi, Anqi Mu, Yubo Yang, Allen Zang, Yang Lyu, Peizhi Mai, Xuefei Guo, Luyu Gao, Ze Yang, Chi Xue, Dmytro Bandak, Yaïr Hein, Yonatan Kahn, S. Kevin Zhou, John Drew Wilson, Jarrod T. Reilly, Di Luo, Daniel Inafuku, Hao Tong, Liang Yang, Ruixing Zhang, Xueying Wang, Ofir Press, Nicolas Chia, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Resolving Turbulent Magnetohydrodynamics: A Hybrid Operator-Diffusion Framework. CoRR Semih Kacmaz, Eliu A. Huerta, Roland Haas
2025	J	`jnl`	Resolving turbulent magnetohydrodynamics: a hybrid operator-diffusion framework. Mach. Learn. Sci. Technol. Semih Kacmaz, Eliu A. Huerta, Roland Haas
2025	—	`conf`	Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization. eScience Marcus Schwarting, Logan T. Ward, Nathaniel Hudson, Xiaoli Yan, Ben Blaiszik, Santanu Chaudhuri, Eliu A. Huerta, Ian T. Foster
2025	J	`jnl`	Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization. CoRR Marcus Schwarting, Logan T. Ward, Nathaniel Hudson, Xiaoli Yan, Ben Blaiszik, Santanu Chaudhuri, Eliu A. Huerta, Ian T. Foster
2024	J	`jnl`	AI-driven Conservative-to-Primitive Conversion in Hybrid Piecewise Polytropic and Tabulated Equations of State. CoRR Semih Kacmaz, Roland Haas, Eliu A. Huerta
2024	B	`conf`	Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster
2024	A*	`conf`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers. Mach. Learn. Sci. Technol. Minyang Tian, Eliu A. Huerta, Huihuo Zheng, Prayush Kumar
2024	A*	`conf`	SciCode: A Research Coding Benchmark Curated by Scientists. NeurIPS Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	SciCode: A Research Coding Benchmark Curated by Scientists. CoRR Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2. Comput. Sci. Eng. Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR Minyang Tian, Eliu A. Huerta, Huihuo Zheng
2023	J	`jnl`	APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics. CoRR Hyun Park, Parth Patel, Roland Haas, Eliu A. Huerta
2023	B	`conf`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	Applications of physics informed neural operators. Mach. Learn. Sci. Technol. Shawn G. Rosofsky, Hani Al Majed, Eliu A. Huerta
2023	J	`jnl`	Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger
2023	J	`jnl`	End-to-end AI framework for interpretable prediction of molecular and crystal properties. Mach. Learn. Sci. Technol. Hyun Park, Ruijie Zhu, Eliu A. Huerta, Santanu Chaudhuri, Emad Tajkhorshid, Donny Cooper
2023	J	`jnl`	FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
2023	J	`jnl`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2023	J	`jnl`	GHP-MOFassemble: Diffusion modeling, high throughput screening, and molecular dynamics for rational discovery of novel metal-organic frameworks for carbon capture at scale. CoRR Hyun Park, Xiaoli Yan, Ruijie Zhu, Eliu A. Huerta, Santanu Chaudhuri, Donny Cooper, Ian T. Foster, Emad Tajkhorshid
2023	J	`jnl`	Magnetohydrodynamics with Physics Informed Neural Operators. CoRR Shawn G. Rosofsky, Eliu A. Huerta
2023	J	`jnl`	Magnetohydrodynamics with physics informed neural operators. Mach. Learn. Sci. Technol. Shawn G. Rosofsky, Eliu A. Huerta
2023	J	`jnl`	Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection. CoRR Minyang Tian, Eliu A. Huerta, Huihuo Zheng
2022	J	`jnl`	Applications of physics informed neural operators. CoRR Shawn Rosofsky, Eliu A. Huerta
2022	J	`jnl`	End-to-end AI Framework for Hyperparameter Optimization, Model Training, and Interpretable Inference for Molecules and Crystals. CoRR Hyun Park, Ruijie Zhu, Eliu A. Huerta, Santanu Chaudhuri, Emad Tajkhorshid, Donny Cooper
2022	J	`jnl`	FAIR AI Models in High Energy Physics. CoRR Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
2022	J	`jnl`	FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
2022	J	`jnl`	FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster
2022	J	`jnl`	Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale. Frontiers Artif. Intell. Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng
2022	J	`jnl`	Inference-optimized AI and high performance computing for gravitational wave detection at scale. CoRR Pranshu Chaturvedi, Asad Khan, Minyang Tian, Eliu A. Huerta, Huihuo Zheng
2022	J	`jnl`	Interpreting a Machine Learning Model for Detecting Gravitational Waves. CoRR Mohammadtaher Safarzadeh, Asad Khan, Eliu A. Huerta, Martin Wattenberg
2022	J	`jnl`	MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, Eliu A. Huerta, Chris Messenger, Frank Ohme
2022	J	`jnl`	Statistically-informed deep learning for gravitational wave parameter estimation. Mach. Learn. Sci. Technol. Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao
2021	J	`jnl`	A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR Yifan Chen, Eliu A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
2021	J	`jnl`	AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR Asad Khan, Eliu A. Huerta
2021	J	`jnl`	Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources. CoRR Eliu A. Huerta, Zhizhen Zhao
2021	J	`jnl`	Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR Asad Khan, Eliu A. Huerta, Huihuo Zheng
2020	J	`jnl`	Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster
2020	J	`jnl`	Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
2020	J	`jnl`	Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
2020	J	`jnl`	Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers. CoRR Asad Khan, Eliu A. Huerta, Arnav Das
2019	J	`jnl`	Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. CoRR Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao
2019	J	`jnl`	Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. CoRR Arjun Gupta, Eliu A. Huerta, Zhizhen Zhao, Issam Moussa
2019	J	`jnl`	Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019	J	`jnl`	Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. CoRR Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019	Misc	`conf`	Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. ICASSP Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019	J	`jnl`	Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019	J	`jnl`	Supporting High-Performance and High-Throughput Computing for Experimental Science. Comput. Softw. Big Sci. Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz
2019	J	`jnl`	The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective. CoRR Eliu A. Huerta, Roland Haas, Sarah Habib, Anushri Gupta, Adam Rebei, Vishnu Chavva, Daniel Johnson, Shawn Rosofsky, Erik Wessel, Bhanu Agarwal, Diyu Luo, Wei Ren
2018	—	`conf`	Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. PEARC Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark S. Neubauer
2018	J	`jnl`	Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. CoRR Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark S. Neubauer
2018	J	`jnl`	Real-time regression analysis with deep convolutional neural networks. CoRR Eliu A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen
2018	J	`jnl`	Supporting High-Performance and High-Throughput Computing for Experimental Science. CoRR Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz
2018	J	`jnl`	Unsupervised learning and data clustering for the construction of Galaxy Catalogs in the Dark Energy Survey. CoRR Asad Khan, Eliu A. Huerta, Sibo Wang, Robert A. Gruendl
2017	—	`conf`	BOSS-LDG: A Novel Computational Framework That Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery. eScience Eliu A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler
2017	J	`jnl`	BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery. CoRR Eliu A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler
2017	J	`jnl`	Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Advanced LIGO Data. CoRR Daniel George, Eliu A. Huerta
2017	J	`jnl`	Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data. CoRR Daniel George, Eliu A. Huerta
2017	J	`jnl`	Deep Neural Networks to Enable Real-time Multimessenger Astrophysics. CoRR Daniel George, Eliu A. Huerta
2017	J	`jnl`	Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO. CoRR Daniel George, Hongyu Shen, Eliu A. Huerta
2017	J	`jnl`	Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. CoRR Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2017	J	`jnl`	ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers. CoRR Eliu A. Huerta, C. J. Moore, Prayush Kumar, Daniel George, Alvin J. K. Chua, Roland Haas, Erik Wessel, Daniel Johnson, Derek Glennon, Adam Rebei, A. Miguel Holgado, Jonathan R. Gair, Harald P. Pfeiffer
2017	J	`jnl`	Glitch Classification and Clustering for LIGO with Deep Transfer Learning. CoRR Daniel George, Hongyu Shen, Eliu A. Huerta
2017	J	`jnl`	Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations. CoRR Daniel Johnson, Eliu A. Huerta, Roland Haas