1 citations · 2 across the 6 of their papers we have counts for
8 papers
AptMQL-Bench: From Text-to-SQL to Text-to-MQL via Access-Pattern Schema Design and Data-Preserving Migration
Hy Nguyen, Nabi Rezvani, Robin Vujanic
Document databases such as MongoDB are core infrastructure for modern applications, and natural-language interfaces to them---text-to-MQL---would let non-experts query complex, sem…
Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data
Thomas Rückstieß, Robin Vujanic
Synthetic data generation is an important capability for privacy-preserving data sharing, system benchmarking and test data provisioning. For mixed-type data, existing synthesizers…
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
Robin Vujanic, Thomas Rueckstiess
We present LEAF ("Lightweight Embedding Alignment Framework"), a knowledge distillation framework for text embedding models. A key distinguishing feature is that our distilled leaf…
ORIGAMI: A generative transformer architecture for predictions from semi-structured data
Thomas Rückstieß, Alana Huang, Robin Vujanic
Despite the popularity and widespread use of semi-structured data formats such as JSON, end-to-end supervised learning applied directly to such data remains underexplored. We prese…
Computationally Efficient Dynamic Traffic Optimization Of Railway Systems
Robin Vujanic, Andrew Hill
In this paper we investigate real-time, dynamic traffic optimization in railway systems. In order to enable practical solution times, we operate the optimizer in a receding horizon…
Multi-Vehicle Trajectory Optimisation On Road Networks
Philip Gun, Andrew Hill, Robin Vujanic
This paper addresses the problem of planning time-optimal trajectories for multiple cooperative agents along specified paths through a static road network. Vehicle interactions at…
Weekly maintenance scheduling using exact and genetic methods
Andrew W. Palmer, Robin Vujanic, Andrew J. Hill +1
The weekly maintenance schedule specifies when maintenance activities should be performed on the equipment, taking into account the availability of workers and maintenance bays, an…
A Decomposition Method for Large Scale MILPs, with Performance Guarantees and a Power System Application
Robin Vujanic, Peyman Mohajerin Esfahani, Paul Goulart +2
Lagrangian duality in mixed integer optimization is a useful framework for problems decomposition and for producing tight lower bounds to the optimal objective, but in contrast to…