Yoshinobu Kawahara

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Yoshinobu Kawahara
Professor University of Tokyo | Japan Society for the Promotion of Science
45 YEARS OLD
Yoshinobu Kawahara is a distinguished academic with a strong background in engineering, having earned his B.S., M.S., and Ph.D. degrees from The University of Tokyo, Japan, in 2003, 2005, and 2008, respectively. He currently holds a position as a Professor at the Graduate School of Information Science and Technology, Osaka University, while also leading the Structured Learning Team at RIKEN Center for Advanced Intelligence Project (RIKEN AIP). Previously, he has been a Visiting Research Scientist at the Max Planck Institute for Empirical Inference in Tübingen and a Visiting Professor at the MELODI Lab, under the direction of Prof. J.A. Bilmes, at the University of Washington in Seattle.

Kawahara's research focuses on statistical machine learning and its applications in various scientific and engineering disciplines.
Notable Awards
Best Paper Award, The Japanese Society for Artificial Intelligence – 2011
NIPS 2014 Outstanding Reviewer Award – 2014
Summary of recent tweets
Yoshinobu Kawahara has been tweeting about a variety of topics lately. In one tweet, he announced the start of the general registration for the 26th Information-Theoretic Learning Theory Workshop (IBIS2023) and provided a link for more information. Another tweet shared a research paper on Shapley-Value-Based Attribution of Anomaly Scores. He also mentioned his move to Munich in February 2023 to become the director at the Max Planck Institute for Biochemistry and founding a new department for Machine Learning and Systems Biology. Yoshinobu Kawahara has been actively promoting IBIS-related events as well. He encouraged people to attend IBIS2023 and mentioned that it will be held in Kitakyushu International Conference Center from October 29th to November 1st, 2023. He also expressed excitement about IBIS coming to Kitakyushu next year. In terms of trends in AI, Yoshinobu Kawahara's tweets do not explicitly mention any specific new trends or technologies related to AI. Overall, based on the analyzed tweets, it is difficult to determine Yoshinobu Kawahara's sentiment towards AI. The tweets mainly consist of announcements, event promotions, and research papers without expressing clear positive or negative opinions about the direction of AI development.

Books By Professor Yoshinobu Kawahara

Machine Learning: An Artificial Intelligence Approach

Machine Learning: An Artificial Intelligence Approach

Natural Language Processing with Python

Natural Language Processing with Python

Videos Featuring Professor Yoshinobu Kawahara
Rentrée Master 2022 Chloé-Agathe AZENCOTT

Rentrée Master 2022 Chloé-Agathe AZENCOTT

Yoshinobu Irie Shihan - Aikido Budo Demonstration

Yoshinobu Irie Shihan - Aikido Budo Demonstration

Kawahara Shihan, 8th Dan Aikido, Victoria Aikikai 2002 Outdoor Jo class

Kawahara Shihan, 8th Dan Aikido, Victoria Aikikai 2002 Outdoor Jo class

Aikido Demonstration -  Irie Yoshinobu Shihan - Kagami Biraki 2022 - 4/4

Aikido Demonstration - Irie Yoshinobu Shihan - Kagami Biraki 2022 - 4/4

Ichihashi Shihan, ONE OF THE GREATEST TEACHERS I know.

Ichihashi Shihan, ONE OF THE GREATEST TEACHERS I know.

AIP Open Seminar #17 20210317

AIP Open Seminar #17 20210317

Kirigami Haptic Swatches: Design Methods for Cut-and-Fold Haptic Feedback Mechanisms

Kirigami Haptic Swatches: Design Methods for Cut-and-Fold Haptic Feedback Mechanisms

dotAI 2018 - Chloé-Agathe Azencott - Using structure to select features in high dimension

dotAI 2018 - Chloé-Agathe Azencott - Using structure to select features in high dimension

[Conférence] CA. AZENCOTT - Caractérisation des cancers par les données génomiques

[Conférence] CA. AZENCOTT - Caractérisation des cancers par les données génomiques

UW CSE AI Seminar '16: J. Bilmes, Concrete Applications of Submodular Theory in ML and NLP

UW CSE AI Seminar '16: J. Bilmes, Concrete Applications of Submodular Theory in ML and NLP

Twitter Timeline of Professor Yoshinobu Kawahara