Ilya Safro

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 93

Top Venues

Publications

Ilya Tyagin, Ilya Safro
Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique. BMC Bioinform. 25 (1) (2024)
Bao Bach, Jose Falla, Ilya Safro
MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA. CoRR (2024)
Jose Falla, Quinn Langfitt, Yuri Alexeev, Ilya Safro
Graph representation learning for parameter transferability in quantum approximate optimization algorithm. Quantum Mach. Intell. 6 (2) (2024)
Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev
Parameter Transferability in QAOA Under Noisy Conditions. QCE (2023)
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
Learning to Optimize Quantum Neural Networks Without Gradients. QCE (2023)
David Marasco, Ilya Tyagin, Justin Sybrandt, James H. Spencer, Ilya Safro
Literature-based Discovery for Landscape Planning. CoRR (2023)
Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Open Problems in (Hyper)Graph Decomposition. CoRR (2023)
Ankit Kulshrestha, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops (2023)
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
Learning To Optimize Quantum Neural Network Without Gradients. CoRR (2023)
Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC (2023)
Krish Matta, Xiaoyuan Liu, Ilya Safro
Decomposition Based Refinement for the Network Interdiction Problem. CoRR (2023)
Ilya Tyagin, Ilya Safro
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique. CoRR (2023)
Krish Matta, Xiaoyuan Liu, Ilya Safro
Decomposition Based Refinement for the Network Interdiction Problem. HPEC (2023)
Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR (2023)
Danai Koutra, Henning Meyerhenke, Ilya Safro, Fabian Brandt-Tumescheit
Scalable Graph Mining and Learning (Dagstuhl Seminar 23491). Dagstuhl Reports 13 (12) (2023)
George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13 (8) (2023)
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
Partitioning Dense Graphs with Hardware Accelerators. ICCS (3) (2022)
Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
Towards Practical Explainability with Cluster Descriptors. ICDM (Workshops) (2022)
Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC (2022)
Ankit Kulshrestha, Ilya Safro
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. QCE (2022)
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
Partitioning Dense Graphs with Hardware Accelerators. CoRR (2022)
Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. CoRR (2022)
Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro
Towards Practical Explainability with Cluster Descriptors. CoRR (2022)
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy
Leveraging special-purpose hardware for local search heuristics. Comput. Optim. Appl. 82 (1) (2022)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. CoRR (2022)
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. AAAI (2022)
Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro
Proactive Query Expansion for Streaming Data Using External Sources. Big Data (2022)
Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. QCE (2022)
Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro
Proactive Query Expansion for Streaming Data Using External Source. CoRR (2022)
Ankit Kulshrestha, Ilya Safro
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. CoRR (2022)
Ankit Kulshrestha, Ilya Safro
Coping with Mistreatment in Fair Algorithms. CoRR (2021)
Ankit Kulshrestha, Ilya Safro
FAIRLEARN: Configurable and Interpretable Algorithmic Fairness. CoRR (2021)
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
Classical symmetries and the Quantum Approximate Optimization Algorithm. Quantum Inf. Process. 20 (11) (2021)
Alexey Galda, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro
Transferability of optimal QAOA parameters between random graphs. QCE (2021)
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
Accelerating COVID-19 research with graph mining and transformer-based learning. CoRR (2021)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
ELRUNA: Elimination Rule-based Network Alignment. ACM J. Exp. Algorithmics 26 (2021)
Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. CoRR (2021)
Justin Sybrandt, Ilya Safro
CBAG: Conditional Biomedical Abstract Generation. CoRR (2020)
Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. CoRR (2020)
Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines. CoRR (2020)
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. CIKM (2020)
Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt
Accelerating Text Mining Using Domain-Specific Stop Word Lists. IEEE BigData (2020)
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach. CoRR (2020)
Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines. IEEE BigData (2020)
Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz
Recent Advances in Scalable Network Generation. CoRR (2020)
Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt
Accelerating Text Mining Using Domain-Specific Stop Word Lists. CoRR (2020)
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
Classical symmetries and QAOA. CoRR (2020)
Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro
Network Alignment by Propagating Reliable Similarities. CoRR (2019)
Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury, Ilya Safro
Centralities for Networks with Consumable Resources. CoRR (2019)
Talayeh Razzaghi, Ilya Safro, Joseph Ewing, Ehsan Sadrfaridpour, John D. Scott
Predictive models for bariatric surgery risks with imbalanced medical datasets. Ann. Oper. Res. 280 (1-2) (2019)
Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury, Ilya Safro
Centralities for networks with consumable resources. Netw. Sci. 7 (3) (2019)
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Christian F. A. Negre, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers. Computer 52 (6) (2019)
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre, Susan M. Mniszewski, Yuri Alexeev, Ilya Safro
Multilevel Combinatorial Optimization Across Quantum Architectures. CoRR (2019)
Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury, Ilya Safro, Hayato Ushijima-Mwesigwa
Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles. Comput. Aided Civ. Infrastructure Eng. 34 (7) (2019)
Ehsan Sadrfaridpour, Talayeh Razzaghi, Ilya Safro
Engineering fast multilevel support vector machines. Mach. Learn. 108 (11) (2019)
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy
On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware. CoRR (2019)
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. CoRR (2019)
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
Multistart Methods for Quantum Approximate optimization. HPEC (2019)
Justin Sybrandt, Ilya Safro
FOBE and HOBE: First- and High-Order Bipartite Embeddings. CoRR (2019)
Christopher Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon
Clustered Latent Dirichlet Allocation for Scientific Discovery. IEEE BigData (2019)
Ruslan Shaydulin, Jie Chen, Ilya Safro
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. Multiscale Model. Simul. 17 (1) (2019)
Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings. CoRR (2019)
Varsha Chauhan, Alexander Gutfraind, Ilya Safro
Multiscale planar graph generation. Appl. Netw. Sci. 4 (1) (2019)
William W. Hager, James T. Hungerford, Ilya Safro
A multilevel bilinear programming algorithm for the vertex separator problem. Comput. Optim. Appl. 69 (1) (2018)
Ruslan Shaydulin, Ilya Safro
Aggregative Coarsening for Multilevel Hypergraph Partitioning. CoRR (2018)
Varsha Chauhan, Alexander Gutfraind, Ilya Safro
Multiscale Planar Graph Generation. CoRR (2018)
Justin Sybrandt, Ilya Safro
Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems. CoRR (2018)
Henning Meyerhenke, Richard Peng, Ilya Safro
High-Performance Graph Algorithms (Dagstuhl Seminar 18241). Dagstuhl Reports 8 (6) (2018)
Justin Sybrandt, Michael Shtutman, Ilya Safro
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking. IEEE BigData (2018)
Saroj Kumar Dash, Ilya Safro, Ravisutha Sakrepatna Srinivasamurthy
Spatio-temproal prediction of crimes using network analytic approach. CoRR (2018)
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan M. Mniszewski, Yuri Alexeev
Community Detection Across Emerging Quantum Architectures. CoRR (2018)
Ruslan Shaydulin, Ilya Safro
Aggregative Coarsening for Multilevel Hypergraph Partitioning. SEA (2018)
Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro
Are Abstracts Enough for Hypothesis Generation? CoRR (2018)
Saroj Kumar Dash, Ilya Safro, Ravisutha Sakrepatna Srinivasamurthy
Spatio-temporal prediction of crimes using network analytic approach. IEEE BigData (2018)
Justin Sybrandt, Angelo Carrabba, Alexander Herzog, Ilya Safro
Are Abstracts Enough for Hypothesis Generation? IEEE BigData (2018)
Justin Sybrandt, Michael Shtutman, Ilya Safro
MOLIERE: Automatic Biomedical Hypothesis Generation System. CoRR (2017)
Emmanuel John, Ilya Safro
Single- and multi-level network sparsification by algebraic distance. J. Complex Networks 5 (3) (2017)
Justin Sybrandt, Michael Shtutman, Ilya Safro
MOLIERE: Automatic Biomedical Hypothesis Generation System. KDD (2017)
Ehsan Sadrfaridpour, Talayeh Razzaghi, Ilya Safro
Engineering multilevel support vector machines. CoRR (2017)
Yuliya V. Bolotova, Jie Lou, Ilya Safro
Detecting and monitoring foodborne illness outbreaks: Twitter communications and the 2015 U.S. Salmonella outbreak linked to imported cucumbers. CoRR (2017)
Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, Ilya Safro
Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities. IEEE BigData (2017)
M. D. Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan, Ilya Safro, Hayato Ushijima-Mwesigwa
Utility Maximization Framework for Opportunistic Wireless Electric Vehicle Charging. CoRR (2017)
Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro, Henning Meyerhenke
Generating realistic scaled complex networks. Appl. Netw. Sci. 2 (2017)
Ruslan Shaydulin, Jie Chen, Ilya Safro
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. CoRR (2017)
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro
Algebraic multigrid support vector machines. ESANN (2017)
Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, Ilya Safro
Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities. CoRR (2016)
Emmanuel John, Ilya Safro
Single- and Multi-level Network Sparsification by Algebraic Distance. CoRR (2016)
Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
Generating Scaled Replicas of Real-World Complex Networks. CoRR (2016)
Chris Gropp, Alexander Herzog, Ilya Safro, Paul W. Wilson, Amy W. Apon
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA). CoRR (2016)
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro
Algebraic multigrid support vector machines. CoRR (2016)
Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
Generating Scaled Replicas of Real-World Complex Networks. COMPLEX NETWORKS (2016)
Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nicholas Marko
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values. CoRR (2016)
Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nick Marko
Fast imbalanced classification of healthcare data with missing values. FUSION (2015)
Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nick Marko
Fast Imbalanced Classification of Healthcare Data with Missing Values. CoRR (2015)
Noam Goldberg, Sven Leyffer, Ilya Safro
Optimal response to epidemics and cyber attacks in networks. Networks 66 (2) (2015)
Talayeh Razzaghi, Ilya Safro
Scalable Multilevel Support Vector Machines. ICCS (2015)
Alexander Gutfraind, Ilya Safro, Lauren Ancel Meyers
Multiscale network generation. FUSION (2015)
Talayeh Razzaghi, Ilya Safro
Fast Multilevel Support Vector Machines. CoRR (2014)
William W. Hager, James T. Hungerford, Ilya Safro
A Continuous Refinement Strategy for the Multilevel Computation of Vertex Separators. LION (2014)

Ilya Safro.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ilya Safro