18 citations · 18 across the 9 of their papers we have counts for
10 papers
Multi-View In-Cabin Monitoring System for Public Transport Vehicles
Evgeny Gorelik, Kenny Dean Karrow, Fikret Sivrikaya +2
We introduce a multi-view in-cabin monitoring dataset for public transportation with synchronized RGB and depth images from four inward-facing cameras and a rotating LiDAR covering…
SAGE: Tool-Augmented LLM Task Solving Strategies in Scalable Multi-Agent Environments
Robert K. Strehlow, Tobias Küster, Oskar F. Kupke +3
Large language models (LLMs) have proven to work well in question-answering scenarios, but real-world applications often require access to tools for live information or actuation.…
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
In this paper, we propose and analyse a family of generalised stochastic composite mirror descent algorithms. With adaptive step sizes, the proposed algorithms converge without req…
Optimistic Optimisation of Composite Objective with Exponentiated Update
Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
This paper proposes a new family of algorithms for the online optimisation of composite objectives. The algorithms can be interpreted as the combination of the exponentiated gradie…
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation
O. Can Görür, Benjamin Rosman, Fikret Sivrikaya +1
A limitation for collaborative robots (cobots) is their lack of ability to adapt to human partners, who typically exhibit an immense diversity of behaviors. We present an autonomou…
Quantification of the Impact of GHG Emissions on Unit Commitment in Microgrids
Ogun Yurdakul, Fikret Sivrikaya, Sahin Albayrak
The global climate change creates a dire need to mitigate greenhouse gas (GHG) emissions from thermal generation resources (TGRs). While microgrids are instrumental in enabling the…
Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System
Ogun Yurdakul, Andreas Meyer, Fikret Sivrikaya +1
The deepening penetration of variable energy resources creates unprecedented challenges for system operators (SOs). An issue that merits special attention is the precipitous net lo…
Kullback-Leibler Divergence-Based Distributionally Robust Unit Commitment Under Net Load Uncertainty
Ogun Yurdakul, Fikret Sivrikaya, Sahin Albayrak
The deepening penetration of renewable resources into power systems entails great difficulties that have not been surmounted satisfactorily. An issue that merits special attention…
A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids
Ogun Yurdakul, Fikret Sivrikaya, Sahin Albayrak
This paper proposes a distributionally robust unit commitment approach for microgrids under net load and electricity market price uncertainty. The key thrust of the proposed approa…
Graduated Optimization of Black-Box Functions
Weijia Shao, Christian Geißler, Fikret Sivrikaya
Motivated by the problem of tuning hyperparameters in machine learning, we present a new approach for gradually and adaptively optimizing an unknown function using estimated gradie…