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Publication search results
found 136 matches
- 2024
- Ilya Tyagin, Ilya Safro:
Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique. BMC Bioinform. 25(1): 213 (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): 46 (2024) - Bao Bach, Jose Falla, Ilya Safro:
MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA. CoRR abs/2404.14399 (2024) - Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro:
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. CoRR abs/2408.13352 (2024) - 2023
- Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC 2023: 1-7 - Krish Matta, Xiaoyuan Liu, Ilya Safro:
Decomposition Based Refinement for the Network Interdiction Problem. HPEC 2023: 1-8 - Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro:
Learning to Optimize Quantum Neural Networks Without Gradients. QCE 2023: 263-271 - Quinn Langfitt, Jose Falla, Ilya Safro, Yuri Alexeev:
Parameter Transferability in QAOA Under Noisy Conditions. QCE 2023: 300-301 - Ankit Kulshrestha, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. SC Workshops 2023: 1487-1491 - Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro:
Learning To Optimize Quantum Neural Network Without Gradients. CoRR abs/2304.07442 (2023) - David Marasco, Ilya Tyagin, Justin Sybrandt, James H. Spencer, Ilya Safro:
Literature-based Discovery for Landscape Planning. CoRR abs/2306.02588 (2023) - Krish Matta, Xiaoyuan Liu, Ilya Safro:
Decomposition Based Refinement for the Network Interdiction Problem. CoRR abs/2307.07577 (2023) - Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. CoRR abs/2310.07858 (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 abs/2310.11812 (2023) - Ilya Tyagin, Ilya Safro:
Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique. CoRR abs/2312.03303 (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): 1-45 (2023) - Danai Koutra, Henning Meyerhenke, Ilya Safro, Fabian Brandt-Tumescheit:
Scalable Graph Mining and Learning (Dagstuhl Seminar 23491). Dagstuhl Reports 13(12): 1-23 (2023) - 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): 1-29 (2022) - Justin Sybrandt, Ruslan Shaydulin, Ilya Safro:
Hypergraph Partitioning With Embeddings. IEEE Trans. Knowl. Data Eng. 34(6): 2771-2782 (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: 12673-12679 - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Sources. IEEE Big Data 2022: 701-708 - Cameron Ibrahim, Danylo Lykov, Zichang He, Yuri Alexeev, Ilya Safro:
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation. HPEC 2022: 1-8 - Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Partitioning Dense Graphs with Hardware Accelerators. ICCS (3) 2022: 476-483 - Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Towards Practical Explainability with Cluster Descriptors. ICDM (Workshops) 2022: 1-10 - Ankit Kulshrestha, Ilya Safro:
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. QCE 2022: 197-203 - Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator. QCE 2022: 133-141 - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation1. Massive Graph Analytics 2022: 333-376 - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Source. CoRR abs/2201.06592 (2022) - Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Partitioning Dense Graphs with Hardware Accelerators. CoRR abs/2202.09420 (2022) - Ankit Kulshrestha, Ilya Safro:
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms. CoRR abs/2204.13751 (2022)
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