Eri Kuroda

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.

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

I gave an online oral presentation at PRML2023 held at Xinjiang University, China.

Conference・Workshop

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%).
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.

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).

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.
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.

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.
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).

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.

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.
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.
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).
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.

Eri Kuroda. Plenary Talk, National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), May 30th, 2023.
Eri Kuroda. Education Program for Female Leaders : Training Course, Ochanomizu University, Institute for Global Leadership, Jan 24th, 2023.

Eri Kuroda. Research Introduction, DFKI Cognitive Assistants Dr.-Ing. Jan Alexandersson team, Nov 30th, 2022.
Eri Kuroda. Research Introduction, DFKI Cognitive Assistants Dr.-Ing. Boris Brandherm team, Oct 25th, 2022.
Eri Kuroda. Online seminars for female students, RIKEN Center for Advanced Intelligence Project (AIP), Oct 20th, 2022.

Journal・MISC

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.
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.
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.
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.

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.
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.
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.
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.
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.