382 citations · 1.4k across the 22 of their papers we have counts for
25 papers
Game-Theoretic Reinforcement Learning based Topology-Agnostic Defense for Virtual Power Plants
Pooja Algikar, Stefano Fenu, Kumarsinh Jhala +1
The rapid proliferation of distributed energy resources (DERs) aggregated by virtual power plants (VPPs) elevates cybersecurity risk by expanding the attack surface. A coordinated…
The Case for Synthesized Data Compression
Ivan Iachnyk, Mihail Stoian, Luisa Neubauer +2
Compression is a fundamental tool in data management. Today's compression schemes are generally designed by hand to apply to many different types of data (e.g., run length encoding…
Kepler: Robust Learning for Faster Parametric Query Optimization
Lyric Doshi, Vincent Zhuang, Gaurav Jain +5
Most existing parametric query optimization (PQO) techniques rely on traditional query optimizer cost models, which are often inaccurate and result in suboptimal query performance.…
Learned Query Superoptimization
Ryan Marcus
Traditional query optimizers are designed to be fast and stateless: each query is quickly optimized using approximate statistics, sent off to the execution engine, and promptly for…
AdaChain: A Learned Adaptive Blockchain
Chenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri +2
This paper presents AdaChain, a learning-based blockchain framework that adaptively chooses the best permissioned blockchain architecture in order to optimize effective throughput…
LSI: A Learned Secondary Index Structure
Andreas Kipf, Dominik Horn, Pascal Pfeil +2
Learned index structures have been shown to achieve favorable lookup performance and space consumption compared to their traditional counterparts such as B-trees. However, most lea…