Mihail Stoian

According to our database, Mihail Stoian authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

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

DPconv: Super-Polynomially Faster Join Ordering.

Mihail Stoian, 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

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

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