Author name cluster

Daniel Karl I. Weidele

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers

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AAAI Conference 2026 System Paper

AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models

Daniel Karl I. Weidele
Priyanshu Rai
Frederico Araujo
Teryl Taylor
Radu Marinescu

We present AutoTuneX, a system architecture design and implementation for users to interactively fine-tune large language models (LLMs) based on automated hyperparameter optimization particularly built around Bandit Limited Discrepancy Search. Next to a classical Graphical User Interface (GUI) our system features an agentic runtime to facilitate automated fine-tuning via chat.

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AAAI Conference 2022 System Paper

Semantic Feature Discovery with Code Mining and Semantic Type Detection

Kavitha Srinivas
Takaaki Tateishi
Daniel Karl I. Weidele
Udayan Khurana
Horst Samulowitz
Toshihiro Takahashi
Dakuo Wang
Lisa Amini

In recent years, the automation of machine learning and data science (AutoML) has attracted significant attention. One under-explored dimension of AutoML is being able to automatically utilize domain knowledge (such as semantic concepts and relationships) located in historical code or literature from the problem’s domain. In this paper, we demonstrate Semantic Feature Discovery, which enables users to interactively explore features semantically discovered from existing data science code and external knowledge. It does so by detecting semantic concepts for a given dataset, and then using these concepts to determine relevant feature engineering operations from historical code and knowledge.

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