Mihail Stoian

According to our database, Mihail Stoian authored at least 24 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Instance-Optimized String Fingerprints.

Mihail Stoian, Johannes Thürauf, Andreas Zimmerer, Alexander van Renen, Andreas Kipf

CoRR, July, 2025

Parachute: Single-Pass Bi-Directional Information Passing.

Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, Andreas Kipf

CoRR, June, 2025

Redbench: A Benchmark Reflecting Real Workloads.

Skander Krid, Mihail Stoian, Andreas Kipf

CoRR, June, 2025

Virtual: Compressing Data Lake Files.

Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Andreas Zimmerer, Josif Grabocka, Andreas Kipf

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Optimizing Linearized Join Enumeration by Adapting to the Query Structure.

Altan Birler, Mihail Stoian, Thomas Neumann

Proceedings of the Datenbanksysteme für Business, 2025

2024

DPconv: Super-Polynomially Faster Join Ordering.

Mihail Stoian, Andreas Kipf

Proc. ACM Manag. Data, December, 2024

DataLoom: Simplifying Data Loading with LLMs.

Alexander van Renen, Mihail Stoian, Andreas Kipf

Proc. VLDB Endow., August, 2024

On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond.

Mihail Stoian, Richard M. Milbradt, Christian B. Mendl

SIAM J. Sci. Comput., 2024

Lightweight Correlation-Aware Table Compression.

Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf

CoRR, 2024

TSP Escapes the O(2ⁿ n²) Curse.

Mihail Stoian

CoRR, 2024

Did Fourier Really Meet Möbius? Fast Subset Convolution via FFT.

Mihail Stoian

CoRR, 2024

Sinking an Algorithmic Isthmus: (1 + {\epsilon})-Approximate Min-Sum Subset Convolution.

Mihail Stoian

CoRR, 2024

Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy.

Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann

CoRR, 2024

Approximate Min-Sum Subset Convolution.

Mihail Stoian

Proceedings of the Approximation and Online Algorithms - 22nd International Workshop, 2024

Corra: Correlation-Aware Column Compression.

Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification.

Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fast Joint Shapley Values.

Mihail Stoian

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Faster FFT-based Wildcard Pattern Matching.

Mihail Stoian

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

On the Optimal Linear Contraction Order for Tree Tensor Networks.

Mihail Stoian

CoRR, 2022

Concurrent Link-Cut Trees.

Mihail Stoian

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

PLEX: Towards Practical Learned Indexing.

Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska

CoRR, 2021

2020

Benchmarking Learned Indexes.

Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska

Proc. VLDB Endow., 2020

RadixSpline: a single-pass learned index.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

2019

SOSD: A Benchmark for Learned Indexes.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

CoRR, 2019