OMRON

OMRON SINIC X Corporation | Global

Tadashi Kozuno

2025/07/03

Joint Research Results of OMRON SINIC X Accepted at ICML2025

The joint research results of OMRON SINIC X Corporation (HQ: Bunkyo-ku, Tokyo; President and CEO: Masaki Suwa, hereinafter “OSX”) has been accepted at the Forty-Second International Conference on Machine Learning (hereinafter “ICML 2025”). Along with NeurIPS*1, ICML is one of the premier international conferences with significant authority in the field of machine learning and related areas. The conference will be held in Vancouver, Canada, from July 13 to July 19, 2025 (local time). The research paper that has been accepted is as follows: ICML 2025 presentations ■ The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit …

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2025/04/11

OMRON SINIC X to Present Latest Research Findings at ICLR 2025, Top-tier Conference in the Field of Machine Learning

OMRON SINIC X Corporation (HQ: Bunkyo-ku, Tokyo; President and CEO: Masaki Suwa; hereinafter “OSX”) will present the latest research findings at the Thirteenth International Conference on Learning Representations (ICLR 2025)(hereinafter “ICLR 2025”). ICLR 2025 is one of the top-tier international conferences in the field of machine learning, particularly known for showcasing cutting-edge research in deep learning and representation learning. The conference will be held from April 24 to April 28, 2025, in Singapore (local time). The two research papers to be presented by OSX are as follows. ICLR 2025 presentations ■ Rethinking the role of frames for SE(3)-invariant crystal structure modeling …

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2023/12/20

Co-authored Paper Presented at ICML 2023 Receives “Outstanding Paper Award”

We are pleased to announce that a paper co-authored by Senior Researcher Tadashi Kozuno et al. has received the “Outstanding Paper Award” at the International Conference on Machine Learning 2023 (ICML 2023), one of the premier international conferences in the field of machine learning, held in Honolulu, Hawaii, from July 23. Among over 1,800 accepted papers, six were selected for this award, and one of them is our paper entitled “Adapting to game trees in zero-sum imperfect information games.”・Please access herefor more details.・Please access herefor the papers presented at ICML 2023. This paper is the first paper to prove an …

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