นนทวัฒน์ เจริญภักดี (นัท), チャロエンパックディー ノンタワット （ナット）
Taken in Sumida, Tokyo.
I am interested in using machine learning to create “artificial intelligence that can collaborate with humans” to enable better technology for everyone. Currently, I am a researcher at Preferred Networks, working on machine learning for healthcare and quantum chemistry domains.
Research interests: I am interested in machine learning algorithm analysis and design in general. More specifically, my current research topics include:
- Loss function
- Evaluation metric
- Learning with reject option
- Weakly supervised learning
- Domain adaptation
- Anomaly detection
- Applications (e.g., speech signal processing, healthcare data analysis, molecular property prediction, neural network potentials, natural language processing)
I completed a PhD student under the supervision of Prof. Masashi Sugiyama in Sugiyama-Yokoya-Ishida laboratory, Department of computer science, The University of Tokyo. My doctoral thesis is “Theory and algorithms of machine learning with rejection based on loss function perspective”.
Links: Publications, CV