Search Results - "Sel, Bilgehan"
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1
Magnetic field mapping of inaccessible regions using physics-informed neural networks
Published in Scientific reports (27-07-2022)“…A difficult problem concerns the determination of magnetic field components within an experimentally inaccessible region when direct field measurements are not…”
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Journal Article -
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Comparative Study of an EKF-Based Parameter Estimation and a Nonlinear Optimization-Based Estimation on PMSM System Identification
Published in Energies (Basel) (01-10-2021)“…In this study, two different parameter estimation algorithms are studied and compared. Iterated EKF and a nonlinear optimization algorithm based on on-line…”
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3
GLSDC Based Parameter Estimation Algorithm for a PMSM Model
Published in Energies (Basel) (01-02-2021)“…In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter estimation algorithm is used to identify a PMSM (Permanent Magnet…”
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4
Democratizing Energy Management with LLM-Assisted Optimization Autoformalism
Published in IEEE International Conference on Smart Grid Communications (17-09-2024)“…This paper introduces a method for personalizing energy optimization using large language models (LLMs) combined with an optimization solver. This approach,…”
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Conference Proceeding -
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A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Published 26-05-2024“…ICLR 2023 Meta-reinforcement learning has widely been used as a learning-to-learn framework to solve unseen tasks with limited experience. However, the aspect…”
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Journal Article -
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A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability
Published 20-08-2023“…This paper outlines a natural conversational approach to solving personalized energy-related problems using large language models (LLMs). We focus on…”
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Journal Article -
7
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
Published 02-12-2022“…We study the expressibility and learnability of convex optimization solution functions and their multi-layer architectural extension. The main results are:…”
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Journal Article -
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Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Published 25-05-2024“…In numerous reinforcement learning (RL) problems involving safety-critical systems, a key challenge lies in balancing multiple objectives while simultaneously…”
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Journal Article -
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Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
Published 21-05-2024“…Large Language Models (LLMs) have shown remarkable capabilities in tasks such as summarization, arithmetic reasoning, and question answering. However, they…”
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Journal Article -
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Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Published 02-05-2024“…Ensuring the safety of Reinforcement Learning (RL) is crucial for its deployment in real-world applications. Nevertheless, managing the trade-off between…”
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Journal Article -
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Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
Published 20-08-2023“…Current literature, aiming to surpass the "Chain-of-Thought" approach, often resorts to external modi operandi involving halting, modifying, and then resuming…”
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Journal Article -
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Accounting Education in America and Asia Continents
Published in Journal of Accounting & Finance / Muhasebe ve Finansman Dergisi (01-08-2019)“…Accounting applications, standards and education have been evolving along with the changes in science, economy and technology. This study aims at researching…”
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Journal Article