Eri Kuroda

Eri Kuroda

Ochanomizu University Kobayashi Lab.

JSPS Research Fellow (DC1)

Biography

Eri Kuroda is a graduate student majoring in information science at Ochanomizu University.

My research focuses on understanding the world using machine learning and deep learning to help humans recognize objects and make predictions.

researchmap

Interests

  • Machine Learning
  • Deep Learning
  • World Model
  • Physical Reasoning
  • Prediction

Education

  • Ph.D Candidate (Division of Information Sciences in Science), 2022–Present

    Ochanomizu University

  • M.Sc. (Information Sciences), 2022

    Ochanomizu University

  • B.Sc. (Information Sciences), 2020

    Ochanomizu University

Publications

Journal

International Conference

  1. Eri Kuroda & Ichiro Kobayashi. Verbal Representation of Object Collision Prediction Based on Physical CommonSense Knowledge. 2025 17th International Conference on Machine Learning and Computing (ICMLC2025), Long Paper, Oral, Guangzhou, China, Feb 14th-17th, 2025.
  2. Eri Kuroda, Yuki Taya & Ichiro Kobayashi. Verbal Description Focusing on Physical Properties of Real-World Environments. 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024), Long Paper, Oral, Hyogo, Japan, Nov 9th-12th, 2024.
  3. Eri Kuroda & Ichiro Kobayashi. Predictive Inference Model of the Physical Environment that emulates Predictive Coding. 26th International Conference on Discovery Science (DS2023), Long Paper, Oral, Porto, Portugal, Oct 9th-11th, 2023 (Acceptance rate 35.3%).
  4. Eri Kuroda & Ichiro Kobayashi. Extraction of Motion Change Points based on the Physical Characteristics of Objects. 2023 IEEE the 4th International Conference on Pattern Recognition and Machine Learning (PRML2023), Long Paper, Oral, Xinjiang University, China, Aug 4th-6th, 2023.
  5. Eri Kuroda, Shinji Nishimoto, Satoshi Nishida & Ichiro Kobayashi. A Deep Generative Model imitating Predictive Coding in the Human Brain. The 22nd International Symposium on Advances Intelligent Systems, Long Paper, Oral, Online, December 15th-18th, 2021 (Best Session Award).

Domestic Conference (in Japanese)

  1. Eri Kuroda & Ichiro Kobayashi. Verbal Representation of Object Collision Prediction Based on Physical Common Sense. The 40th Fuzzy System Symposium, Oral, Sugiyama Jogakuen University, Aichi, Sep 2nd-4th, 2024.
  2. Eri Kuroda & Ichiro Kobayashi. Verbal Description Focusing on Physical Properties of Real-world Environments. The 38th Annual Conference of the Japanese Society for Artificial Intelligence, Oral, ACT CITY Hamamatsu, Shizuoka, May 28th-31st, 2024.
  3. Eri Kuroda & Ichiro Kobayashi. Predictive Inference Model of the Physical Environment that mimics Predictive Coding. The 37th Annual Conference of the Japanese Society for Artificial Intelligence, Oral, Kumamoto-jo Hall, Kumamoto, Jun 5th-9th, 2023.
  4. Eri Kuroda & Ichiro Kobayashi. A Study on the Construction of an Inflection Point Prediction Model Imitating Predictive Coding in the Human Brain Under Physical Environments. The 85th National Convention of IPSJ, Oral, The University of Electro-Communications, Tokyo, Mar 2nd-4th, 2023.
  5. Eri Kuroda & Ichiro Kobayashi. A Study on Extraction of Motion Inflection Points Focusing on Objects in an Image. The 36th Annual Conference of the Japanese Society for Artificial Intelligence, Oral, Kyoto International Conference Center, Kyoto, Jun 14th-17th, 2022.
  6. Eri Kuroda & Ichiro Kobayashi. A Study on Extracting the Inflection Point in the Physical Environment. The 84th National Convention of IPSJ, Oral, Online, Mar 3rd-5th, 2022 (Student Encouragement Award of IPSJ National Convention).
  7. Eri Kuroda, Shinji Nishimoto, Satoshi Nishida & Ichiro Kobayashi. A Study on a Deep Generative Model Imitating Predictive Coding. The 83rd National Convention of IPSJ, Oral, Online, Mar 18th-20th, 2021.
  8. Eri Kuroda, Shinji Nishimoto, Satoshi Nishida & Ichiro Kobayashi. A Deep Generative Model Imitating Predictive Coding. The 23rd Information-Based Induction Sciences Workshop, Oral, Online, Nov 23rd-26th, 2020.
  9. Eri Kuroda & Ichiro Kobayashi. A Study on Building a Deep Generative Model for Prediction in the Human Brain. The 34th Annual Conference of the Japanese Society for Artificial Intelligence, Oral, Online, Jun 8th-11th, 2020.
  10. Eri Kuroda & Ichiro Kobayashi. A Study on Predicting the Real World using Deep Generative Models. The 82nd National Convention of IPSJ, Oral, Online, Mar 5th-7th, 2020 (Student Encouragement Award of IPSJ National Convention, Best Paper Award of IPSJ National Convention).
  11. Eri Kuroda & Ichiro Kobayashi. A Study on Building a Deep Generative Model for Prediction in the Human Brain. Chronogenesis, Poster, Toyonaka, Osaka, Feb 1st-2nd, 2020.

Invited

  1. Eri Kuroda. Education Program for Female Leaders : Advanced Course, Ochanomizu University, Institute for Global Leadership, Jan 29th, 2025.
  2. Eri Kuroda. Research Introduction, Universität des Saarlandes : Prof.Dr. Vera Demberg team, Oct 30th, 2023.
  3. Eri Kuroda. Plenary Talk, National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), May 30th, 2023.
  4. Eri Kuroda. Education Program for Female Leaders : Training Course, Ochanomizu University, Institute for Global Leadership, Jan 24th, 2023.
  5. Eri Kuroda. Research Introduction, DFKI Cognitive Assistants : Dr.-Ing. Jan Alexandersson team, Nov 30th, 2022.
  6. Eri Kuroda. Research Introduction, DFKI Cognitive Assistants : Dr.-Ing. Boris Brandherm team, Oct 25th, 2022.
  7. Eri Kuroda. Online seminars for female students, RIKEN Center for Advanced Intelligence Project (AIP), Oct 20th, 2022.

Others

  1. Eri Kuroda. Special Issue: New Trends of Researches for Doctoral Theses. Journal of the Japanese Society for Artificial Intelligence, Vol.39, No.1, pp.46-47.
  2. Eri Kuroda. Student Forum (117) Interview with Associate Prof. Yuki Igarashi: Real Opinions and Communications. Journal of the Japanese Society for Artificial Intelligence, Vol.38, No.3, pp.429-434.
  3. Eri Kuroda. Project on Student Editorial Committee: Report on the 40th Annual Conference of the Robotics Society of Japan (Probabilistic Robotics and Data Engineering Robotics ~Recognition, Behavioral Learning, and Symbolic Emergence~ (4/4)), Journal of the Robotics Society of Japan, Vol.41, No.2, pp.149-150.
  4. Eri Kuroda. Project on Student Editorial Committee: Report on the 40th Annual Conference of the Robotics Society of Japan (Probabilistic Robotics and Data Engineering Robotics ~Recognition, Behavioral Learning, and Symbolic Emergence~ (3/4)), Journal of the Robotics Society of Japan, Vol.41, No.1, pp.46-47.
  5. Eri Kuroda. Project on Student Editorial Committee: Report on the 40th Annual Conference of the Robotics Society of Japan (Probabilistic Robotics and Data Engineering Robotics ~Recognition, Behavioral Learning, and Symbolic Emergence~ (1/4)), Journal of the Robotics Society of Japan, Vol.41, No.1, pp.44-45.
  6. Eri Kuroda, Tomoko Ohkuma, Masanori Takano, Chie Morita, Yuko Sakurai & Yoji Kiyota. The World Students See Through Research, Journal of the Japanese Society for Artificial Intelligence, Vol.37, No.5, pp.640-648.
  7. Eri Kuroda, Saya Kashiwakura & Ayari Matsui. Student Forum (112) Interview with Prof. Akiko Aizawa: Climb Your Own Mountain, Even If Itʼs Small at First. Journal of the Japanese Society for Artificial Intelligence, Vol.37, No.4, pp.533-536.
  8. Eri Kuroda, Yuko Sakurai, Masanori Takano, Hiroshi Sakuma & Yoji Kiyota. AI System Papers -Challenges and Possibilities for Collaboration among Different Communities-. Journal of the Japanese Society for Artificial Intelligence, Vol.37, No.3, pp.323-328.
  9. Eri Kuroda, Hiroshi Yamakawa, Fujio Toriumi, Hiroshi Sakuma & Yoji Kiyota. Concept Papers -To Facilitate Dissemination of High-Impact Papers-. Journal of the Japanese Society for Artificial Intelligence, Vol.37, No.3, pp.329-333.
  10. Maiko Onishi, Eri Kuroda & Hiroshi Sakuma. Student Forum (110) Interview with Prof. Emi Tamaki: The Future of “Body Sharing Technology” Based on Deep Sensation. Journal of the Japanese Society for Artificial Intelligence, Vol.37, No.2, pp.237-239.
  11. Eri Kuroda. Interview Articles about Leave a Nest Research Grant.

Awards & Funds

Tateisi Science and Technology Foundation

Research Grant (C)(JPY 500,000)

Ochanomizu University

Yasui-Kuroda Scholarship (JPY 30,000)

Individuals who are engaged in research related to the natural sciences and have an outstanding record of achievement.
Japan Society for the Promotion of Science

Overseas Challenge Program for Young Researchers (JPY 1,400,000)

Japan Student Services Organization

Repayment Exemption of JASSO Scholarship (Category 1)

Ochanomizu University

FY2020 Student Award

Graduate student who have made outstanding achievements in research (FY2020, 3 students).
Ochanomizu University and Inc. KSP-SP

Scholarship (JPY 500,000)

FY2020, just one person.
News
Ochanomizu University AI-Data Science Center

Research Grant (JPY 200,000)

Career

 
 
 
 
 
Saarland University

Guest Researcher

Saarland University

2023/10 – 2024/3 Saarbrücken
 
 
 
 
 
Japan Society for the Promotion of Science

Industry Collaboration Committee Member

Japan Society for the Promotion of Science

2022/11 – 2024/6 Tokyo
 
 
 
 
 
Saarland University

Teaching Assistant for Japanese Language Education

Saarland University

2022/11 – 2022/12 Saarbrücken
 
 
 
 
 
German Research Centre for Artificial Intelligence

Internship student

German Research Centre for Artificial Intelligence

2022/10 – 2022/12 Saarbrücken
 
 
 
 
 
Japan Society for the Promotion of Science

JSPS Research Fellows (DC1)

Japan Society for the Promotion of Science

2022/4 – Present Tokyo
 
 
 
 
 
The Japanese Society for Artificial Intelligence

Student Editor

The Japanese Society for Artificial Intelligence

2021/6 – Present Tokyo
 
 
 
 
 
Information Processing Society of Japan

FY2021 IPSJ Journal Monitor

Information Processing Society of Japan

2021/4 – 2022/3 Tokyo
 
 
 
 
 
Ochanomizu University

Teaching Assistant

Ochanomizu University

2021/4 – 2021/8 Tokyo
Introduction to Data Analysis
 
 
 
 
 
Ochanomizu University

Teaching Assistant

Ochanomizu University

2021/4 – 2021/8 Tokyo
Exercises in Information Processing
 
 
 
 
 
Ochanomizu University

Teaching Assistant

Ochanomizu University

2020/10 – 2021/2 Tokyo
Computer Exercises 2
 
 
 
 
 
Ochanomizu University

Teaching Assistant

Ochanomizu University

2020/4 – 2022/3 Tokyo
Library PC supporter

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