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Computational Intelligence Systems (Affiliated Unit) Lab
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A lab that develops machine learning methods that make accurate predictions and can also explain them.
AboutAbout the lab
Reliable, explainable knowledge from data.
Computational Intelligence Systems (Affiliated Unit) is a unit affiliated with the Data Science Course, run by Affiliated Professor Tomoharu Iwata of NTT Communication Science Laboratories.
Key terms
- Gaussian process regression
- A machine learning regression method that outputs a predicted value together with its uncertainty
- variational autoencoder
- A deep learning model that learns the hidden factors behind data and can generate new data
- spike
- A brief electrical signal that a neuron emits to transmit information
ResearchResearch themes
This section introduces recent papers led by Affiliated Professor Iwata on probabilistic models for machine learning and their applications.
*Illustrative imageExplainable Gaussian Process Regression
Gaussian process regression gives accurate predictions along with their uncertainty, but it cannot show which input features contributed to a prediction. The lab proposed a method that shows each feature's contribution for every sample while maintaining predictive performance.
*Illustrative imageGenerative Model of Neural Activity
The lab proposed a model that combines a point process with a variational autoencoder. It can handle the activity of many neurons as raw data, before the spikes are sorted into individual cells.
MembersFaculty
- Affiliated ProfessorTomoharu Iwata
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Visualizing Artificial Neural Networks (ANNs) with python library-ANN Visualizer” Serenechan3 / CC BY-SA 4.0 (cropped)
- Explainable Gaussian Process Regression: “Example of kriging interpolation in 1D” Antro5 / CC BY-SA 3.0 (cropped)
- Generative Model of Neural Activity: “CajalHippocampus (modified)” original: Santiago Ramón y Cajal (1852–1934) derivative = Looie496 / Public domain (cropped)
- Related lab (計算論的認知神経科学
（連携ユニット） ): “Anatomical model of human brain, Wellcome L0010009” Wellcome Images / CC BY 4.0 (cropped) - Related lab (教育情報学 分野): “Future School” Rasica03 / CC BY-SA 4.0 (cropped)
- Related lab (大規模データ活用基盤 分野): “Groß und klein” Friedrich Haag / CC BY-SA 4.0 (cropped)
- Related lab (医療健康データ科学 分野): “Medical technician using ultrasound equipment in a clinical setting” Shixart1985 / CC BY 2.0 (cropped)
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