Georg Hahn - RankMe

60 papers C 1Misc 1Journal 46Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A framework to efficiently smooth L Comput. Stat. Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Julian Hecker, Dmitry Prokopenko, Sanghun Lee, Woojoo Lee, Michael H. Cho, Edwin K. Silverman, Christoph Lange
2026	J	`jnl`	Accelerated Bayesian Kernel Machine Regression: A Gaussian Variational Approximation with the Horseshoe Prior. Stat. Comput. Seongil Jo, Shinhee Ye, Georg Hahn, Woojoo Lee
2025	J	`jnl`	A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies. CoRR Shirley V. Wang, Georg Hahn, Sushama Kattinakere Sreedhara, Mufaddal Mahesri, Haritha S. Pillai, Rajendra Aldis, Joyce Lii, Sarah K. Dutcher, Rhoda Eniafe, Jamal T. Jones, Keewan Kim, Jiwei He, Hana Lee, Sengwee Toh, Rishi J. Desai, Jie Yang
2025	J	`jnl`	Penalized principal component analysis using smoothing. Stat. Comput. Rebecca M. Hurwitz, Georg Hahn
2024	J	`jnl`	An efficient heuristic for approximate maximum flow computations. CoRR Jingyun Qian, Georg Hahn
2024	J	`jnl`	Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn
2024	J	`jnl`	Fast computation of the eigensystem of genomic similarity matrices. BMC Bioinform. Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange
2024	J	`jnl`	Prediction of disease-free survival for precision medicine using cooperative learning on multi-omic data. Briefings Bioinform. Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon Marie Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis S. Vlachos, Stacia DeSantis, Rudolph E. Tanzi, Christoph Lange
2023	J	`jnl`	A comparison between similarity matrices for principal component analysis to assess population stratification in sequenced genetic data sets. Briefings Bioinform. Sanghun Lee, Georg Hahn, Julian Hecker, Sharon Marie Lutz, Kristina Mullin, Winston Hide, Lars Bertram, Dawn L. DeMeo, Rudolph E. Tanzi, Christoph Lange, Dmitry Prokopenko
2023	J	`jnl`	Initial state encoding via reverse quantum annealing and h-gain features. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2023	J	`jnl`	Penalized Principal Component Analysis using Nesterov Smoothing. CoRR Rebecca M. Hurwitz, Georg Hahn
2023	J	`jnl`	Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
2023	J	`jnl`	Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
2023	—	`conf`	Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
2023	J	`jnl`	Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
2023	J	`jnl`	Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Assessing the Security of the IEEE 802.15.6 Standard for Medical BANs. CoRR Georg Hahn, Muhammad Ali Siddiqi, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
2022	J	`jnl`	Improving the Security of the IEEE 802.15.6 Standard for Medical BANs. IEEE Access Muhammad Ali Siddiqi, Georg Hahn, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
2022	J	`jnl`	Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2022	J	`jnl`	Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. BMC Bioinform. Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael H. Cho, Surender Khurana, Lindsey R. Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange
2021	J	`jnl`	A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). Stat. Comput. Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange
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	J	`jnl`	Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Parallel Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
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	—	`conf`	Reducing quantum annealing biases for solving the graph partitioning problem. CF Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Reducing quantum annealing biases for solving the graph partitioning problem. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2021	J	`jnl`	Using machine learning for quantum annealing accuracy prediction. CoRR Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	A simple method for implementing Monte Carlo tests. Comput. Stat. Dong Ding, Axel Gandy, Georg Hahn
2020	Misc	`conf`	Advanced anneal paths for improved quantum annealing. QCE Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Advanced anneal paths for improved quantum annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	—	`conf`	Advanced unembedding techniques for quantum annealers. ICRC Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Advanced unembedding techniques for quantum annealers. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	BayesProject: Fast computation of a projection direction for multivariate changepoint detection. Stat. Comput. Georg Hahn, Paul Fearnhead, Idris A. Eckley
2020	J	`jnl`	Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Optimal allocation of Monte Carlo simulations to multiple hypothesis tests. Stat. Comput. Georg Hahn
2020	—	`conf`	Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2020	J	`jnl`	Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Finding Maximum Cliques on the D-Wave Quantum Annealer. J. Signal Process. Syst. Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
2019	—	`conf`	Local and Global Stratification Analysis in Whole Genome Sequencing (WGS) Studies Using LocStra. ICCABS Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Christoph Lange
2019	—	`conf`	Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	C	`conf`	Peering Into the Anneal Process of a Quantum Annealer. PDCAT Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Peering into the Anneal Process of a Quantum Annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Solving large Maximum Clique problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	—	`conf`	Solving large minimum vertex cover problems on a quantum annealer. CF Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2019	J	`jnl`	Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics. Algorithms Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson
2018	J	`jnl`	Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. CoRR Georg Hahn, Hristo N. Djidjev
2017	—	`conf`	Finding Maximum Cliques on a Quantum Annealer. Conf. Computing Frontiers Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
2017	J	`jnl`	QuickMMCTest: quick multiple Monte Carlo testing. Stat. Comput. Axel Gandy, Georg Hahn
2017	—	`conf`	Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. ICRC Georg Hahn, Hristo N. Djidjev
2017	—	`conf`	Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
2017	J	`jnl`	Task-based Parallel Computation of the Density Matrix in Quantum-based Molecular Dynamics using Graph Partitioning. SIAM J. Sci. Comput. Purnima Ghale, Matthew P. Kroonblawd, Sue Mniszewski, Christian F. A. Negre, Robert Pavel, Sergio Pino, Vivek Sardeshmukh, Guangjie Shi, Georg Hahn
2016	—	`conf`	Graph Partitioning Methods for Fast Parallel Quantum Molecular Dynamics. CSC Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson, Vivek B. Sardeshmukh