OMRON SINIC X Corporation (HQ: Bunkyo-ku, Tokyo; President and CEO: Masaki Suwa; hereinafter "OSX") presents the latest research findings at the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), and co-located workshops at NeurIPS 2024 ("AI4Mat-NeurIPS 2024¹⁾ " and "Machine Learning and the Physical Sciences").

For details, please refer to the link to the related page for each presentation.
^{*Authors information is current as of the date of writing or submission.}

Along with ICML²⁾ and ICLR³⁾, NeurIPS is one of the top-tier international conferences in the AI and machine learning fields, and will be held in Vancouver, Canada, from December 10 to 15. About 26% were accepted out of 15,671 submissions in 2024. OSX gives a presentation.

Title	Local and Adaptive Mirror Descents in Extensive-Form Games
Content	An algorithm with both computational efficiency and stability for extensive-form games⁴⁾
Authors	Côme Fiegel^1, Pierre Ménard^2, Tadashi Kozuno^3, Rémi Munos^4, Vianney Perchet^5, and Michal Valko^4 1：CREST, ENSAE, IP Paris　2：ENS Lyon　3：OSX　4：DeepMind　*5：CRITEO AI Lab
Session and Time	Poster Session 3 11:00-14:00, Thursday, December 12　*Presentation time is in local time.
Related Page	https://openreview.net/forum?id=HU2uyDjAcy

In particular, Senior Researcher Tadashi Kozuno has been selected as one of the Top Reviewers of NeurIPS 2024. This represents that he is one of the most outstanding reviewers at the conference.

<About the workshop co-located at NeurIPS 2024>
■Presentation at AI4Mat-NeurIPS 2024
OSX gives two presentations.

Title	Force-Controlled Robotic Mechanochemical Synthesis
Content	Force-controlled robotic powder synthesis system
Authors	Yusaku Nakajima^1, Kai Kawasaki^1, Yasuo Takeichi^1, Masashi Hamaya^2, Yoshitaka Ushiku^2, and Kanta Ono^1 1：Osaka University　2：OSX
Session and Time	Poster Session 12:00-13:45, Saturday, December 14　*Presentation time is in local time.
Related page	https://openreview.net/forum?id=GWxGA7jN47

Title	Contrastive Language-Structure Pre-training Driven by Materials Science Literature
Content	Cross-modal learning between crystal structures and texts
Authors	Yuta Suzuki^1, Tatsunori Taniai^2, Ryo Igarashi^2, Kotaro Saito^3,4, Naoya Chiba^4, Yoshitaka Ushiku^2, and Kanta Ono^5 1：Toyota Motor Corporation　2：OSX　3：Randeft, Inc.　4：Tohoku University 　5：Osaka University
Session and Time	Poster Session 12:00-13:45, Saturday, December 14　*Presentation time is in local time.
Related page	https://openreview.net/forum?id=31izDQjvAe

■Presentation at Machine Learning and the Physical Sciences
OSX gives a presentation.

Title	Two-Stage Coefficient Estimation in Symbolic Regression for Scientific Discovery
Content	Symbolic regression algorithm for scientific discovery
Authors	Masahiro Negishi^1,2 (OSX intern from November 2023 to February 2024), Yoshitomo Matsubara^3, Naoya Chiba^4, Ryo Igarashi^2, and Yoshitaka Ushiku^2 1：The University of Tokyo　2：OSX　3：Spiffy AI　*4：Osaka University
Session and Time	Poster Session 1 11:00-12:15, Sunday, December 15　*Presentation time is in local time.
Related page	https://neurips.cc/media/PosterPDFs/NeurIPS%202024/100013.png https://ml4physicalsciences.github.io/2024/files/NeurIPS_ML4PS_2024_11.pdf

^{1) AI for Accelerated Materials Discovery Workshop NeurIPS 2024}
^{2) International Conference on Machine Learning}
^{3) International Conference on Learning Representations}
^{4) Extensive-form game is one of the models used in economics, game theory, and more, and is represented in the form of "tree structures". Each player acts in turn, and their options and respective gains are compared.}

About OMRON SINIC X Corporation

OMRON SINIC X Corporation is a strategic subsidiary seeking to realize the "near future designs" that OMRON forecasts. It is comprised of researchers with cutting-edge knowledge and experience across a wide range of technological domains, including AI, Robotics, IoT, and sensing. With the aim of addressing social issues, OSX integrates innovative technologies with business models and strategies in technology and IP to create near-future designs. Additionally, the company accelerates the creation of these designs through collaborative research with universities and external research institutions.

- OSX's website: https://www.omron.com/sinicx/en/

- OSX's activities: https://www.omron.com/sinicx/en/activity/

- OSX's publications: https://www.omron.com/global/en/technology/publications/?affiliation=%5B%22OSX%22%5D

- For any inquiries about OSX, please contact us here.

OMRON SINIC X Presents Latest Research Findings at NeurIPS 2024, Top-Tier Conference on AI and Machine Learning