SOSD: A Benchmark for Learned Indexes. - Andreas Kipf; Ryan Marcus; Alexander van Renen; Mihail Stoian; Alfons Kemper; Tim Kraska; Thomas Neumann 001 (CoRR, 2019)

RadixSpline: a single-pass learned index. - Andreas Kipf; Ryan Marcus; Alexander van Renen; Mihail Stoian; Alfons Kemper; Tim Kraska; Thomas Neumann 001 (aiDM@SIGMOD, 2020)

Benchmarking Learned Indexes. - Ryan Marcus; Andreas Kipf; Alexander van Renen; Mihail Stoian; Sanchit Misra; Alfons Kemper; Thomas Neumann 001; Tim Kraska (Proc. VLDB Endow., 2020)

PLEX: Towards Practical Learned Indexing. - Mihail Stoian; Andreas Kipf; Ryan Marcus; Tim Kraska (CoRR, 2021)

Concurrent Link-Cut Trees. - Mihail Stoian (SIGMOD Conference, 2022)

On the Optimal Linear Contraction Order for Tree Tensor Networks. - Mihail Stoian (CoRR, 2022)

Faster FFT-based Wildcard Pattern Matching. - Mihail Stoian (SIGMOD Conference Companion, 2023)

Fast Joint Shapley Values. - Mihail Stoian (SIGMOD Conference Companion, 2023)

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (NeurIPS, 2024)

Corra: Correlation-Aware Column Compression. - Hanwen Liu; Mihail Stoian; Alexander van Renen; Andreas Kipf (VLDB Workshops, 2024)

Approximate Min-Sum Subset Convolution. - Mihail Stoian (WAOA, 2024)

Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (CoRR, 2024)

Sinking an Algorithmic Isthmus: (1 + { epsilon})-Approximate Min-Sum Subset Convolution. - Mihail Stoian (CoRR, 2024)

Did Fourier Really Meet Möbius? Fast Subset Convolution via FFT. - Mihail Stoian (CoRR, 2024)

TSP Escapes the O(2n n2) Curse. - Mihail Stoian (CoRR, 2024)

Lightweight Correlation-Aware Table Compression. - Mihail Stoian; Alexander van Renen; Jan Kobiolka; Ping-Lin Kuo; Josif Grabocka; Andreas Kipf (CoRR, 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)

DataLoom: Simplifying Data Loading with LLMs. - Alexander van Renen; Mihail Stoian; Andreas Kipf (Proc. VLDB Endow., 2024)

DPconv: Super-Polynomially Faster Join Ordering. - Mihail Stoian; Andreas Kipf (Proc. ACM Manag. Data, 2024)

Optimizing Linearized Join Enumeration by Adapting to the Query Structure. - Altan Birler; Mihail Stoian; Thomas Neumann 001 (BTW, 2025)

Virtual: Compressing Data Lake Files. - Mihail Stoian; Alexander van Renen; Jan Kobiolka; Ping-Lin Kuo; Andreas Zimmerer; Josif Grabocka; Andreas Kipf (EDBT, 2025)

Redbench: A Benchmark Reflecting Real Workloads. - Skander Krid; Mihail Stoian; Andreas Kipf (CoRR, 2025)

Parachute: Single-Pass Bi-Directional Information Passing. - Mihail Stoian; Andreas Zimmerer; Skander Krid; Amadou Latyr Ngom; Jialin Ding 001; Tim Kraska; Andreas Kipf (CoRR, 2025)

Instance-Optimized String Fingerprints. - Mihail Stoian; Johannes Thürauf; Andreas Zimmerer; Alexander van Renen; Andreas Kipf (CoRR, 2025)