Hiroshi Kera
Associate Professor · Institute for Advanced Academic Research, Chiba University Project Researcher · National Institute of Informatics (Cross-appointment)
Education
2020.03
PhD, Department of Electrical Engineering and Information Systems, The University of Tokyo
Doctoral thesis: "Learning Vanishing Ideals under Noise"
2017.03
Master's, Department of Electrical Engineering and Information Systems, The University of Tokyo
Master's thesis: "Detecting Objects of Shared Attention from First-Person Videos"
2015.03
BEng, Department of Electronic and Electrical Engineering, The University of Tokyo
Positions
2025.10 – Present
Project Researcher, National Institute of Informatics
2025.04 – Present
Associate Professor, Institute for Advanced Academic Research / Graduate School of Informatics, Chiba University
2024.10 – 2025.09
Guest Researcher, Zuse Institute Berlin
2024.04 – 2025.03
Assistant Professor, Graduate School of Informatics, Chiba University
2022.07 – 2022.08
Technical Advisor, Fujitsu Limited
2022.04 – 2023.03
Technical Advisor, Ricoh Company, Ltd.
2021.06 – 2022.05
Visiting Researcher, The University of Tokyo
2021.04 – 2024.03
Assistant Professor, Graduate School of Engineering, Chiba University
2020.08 – 2020.10
Visiting Researcher, AIP-NEC Collaboration Center, RIKEN Center for Advanced Intelligence Project
2020.04 – 2021.03
Project Researcher, The University of Tokyo
2017.04 – 2020.03
Research Fellow (DC1), Japan Society for the Promotion of Science
Grants
Maximizing the Utility of Chain-of-Thought in Autoregressive GenerationPI
Grants-in-Aid for Scientific Research / Grant-in-Aid for Scientific Research (B) / Japan Society for the Promotion of Science
2026-04 – 2030-03 · Project direct costs: ¥14,200,000
Lightweight Transfer Learning for Personalized AI: Developing Arithmetic Methods for Knowledge EditingCo-Investigator
Grants-in-Aid for Scientific Research (KAKENHI) / Grant-in-Aid for Scientific Research (B) / Japan Society for the Promotion of Science (JSPS)
2026-04 – 2030-03 · Project direct costs: ¥19,000,000
Zero-Shot Textual Explanation of Decision Rationale in Image Recognition Models
Open Collaborative Research / National Institute of Informatics
2026-04 – 2027-03
Comprehensive Control of Input–Response Behavior in Deep Learning ModelsPI
BOOST: Next-Generation AI Talent Development Program (Support for Young Researchers) / Japan Science and Technology Agency (JST)
2025-10 – 2030-09 · Project direct costs: ¥50,000,000
Transforming Weather Prediction with Deep Learning and Quantum ComputingCo-Investigator
Grants-in-Aid for Scientific Research / Grant-in-Aid for Scientific Research (A) / Japan Society for the Promotion of Science
2025-04 – 2030-03 · Project direct costs: ¥35,100,000
Improving AI Quality through Deep Model Integration
Open Collaborative Research / National Institute of Informatics
2025-04 – 2026-03
Academic Consulting on Domain AdaptationPI
JFE Engineering Corporation
2024-10 – 2025-03
Pioneering Deep Computational AlgebraPI
Research Support Program (J-PEAKS) / Institute for Advanced Academic Research (IAAR), Chiba University
2024-10 – 2026-09 · Project direct costs: ¥5,000,000
Advancing the Computation and Theory of Deep Vanishing FunctionsPI
Grants-in-Aid for Scientific Research (KAKENHI) / Fund for the Promotion of Joint International Research (Fostering Joint International Research) / Japan Society for the Promotion of Science (JSPS)
2024-08 – 2027-03 · Project direct costs: ¥9,200,000
Research and Development of End-to-End Autonomous Driving ModelsCo-Investigator
Suzuca Technologies
2024-07 – 2026-08
Feasibility of Machine-Learning-Based Algebraic Attacks and CountermeasuresPI
Mitsubishi Electric Corporation
2024-04 – 2027-03
Developing Feature Matching Methods Robust to Imaging ConditionsPI
Ricoh Japan Corporation
2024-03 – 2026-03
Foundations of Computational Algebra and Machine Learning for Large-Scale Algebraic ComputationPI
JST PRESTO / Japan Science and Technology Agency (JST)
2024 – 2028-03 · Project direct costs: ¥30,000,000
Artificial generation of upstream maritime heavy rains to govern intense-rain-induced disasters over land (AMAGOI)Co-Investigator
MOONSHOT / Japan Science and Technology Agency
2023-12 – 2027-03
Lead of subtask 2-2, development of weather prediction surrogate models with attention mechanisms. Direct costs allocated to Kera: JPY 34,990,000 in total for FY2023–FY2026.
Learning and Processing Large-Scale Systems of Algebraic EquationsPI
JST ACT-X / Japan Science and Technology Agency (JST)
2023-10 – 2025-03 · Project direct costs: ¥4,500,000
Estimating Pedestrian Velocity and Acceleration to Optimize Trajectory Prediction ModelsCo-Investigator
Kyocera Corporation
2023-10 – 2024-09
Research on Deep Defense Systems for Robust IoT and AICo-Investigator
Research Grant / The Telecommunications Advancement Foundation
2023-10 – 2024-09 · Project direct costs: ¥1,755,000
Computation and Theory of Deep Vanishing Function LearningPI
Grants-in-Aid for Scientific Research (KAKENHI) / Grant-in-Aid for Early-Career Scientists / Japan Society for the Promotion of Science (JSPS)
2022-04 – 2025-03 · Project direct costs: ¥3,500,000
Adversarial design in deep learningCo-Investigator
Grants-in-Aid for Scientific Research / Grant-in-Aid for Scientific Research (B) / Japan Society for the Promotion of Science
2022-04 – 2026-03 · Project direct costs: ¥13,200,000
Developing Vision-Based Safety Monitoring for Heavy Machinery OperationCo-Investigator
Sumitomo Construction Machinery Co., Ltd.
2021-10 – 2026-09
Data-Driven Computational Algebraic GeometryPI
JST ACT-X / Japan Science and Technology Agency (JST)
2020-10 – 2022-03 · Project direct costs: ¥4,500,000
Theory and Application of deep learning models through the lens of computational algebraic geometryPI
Grants-in-Aid for Scientific Research / Grant-in-Aid for Research Activity Start-up / Japan Society for the Promotion of Science
2020-09 – 2022-03 · Project direct costs: ¥2,200,000
Research on Social Media Content and Improving Popularity MetricsCo-Investigator
CyberBuzz, Inc.
2020-04 – 2021-03
Predicting Advertising Effectiveness and Analyzing Creative AppealCo-Investigator
Septeni Co., Ltd.
2020-04 – 2021-03
Developing Approximate Computational Algebra Algorithms with Outlier Robustness and Multiobjective OptimizationPI
KAKENHI: Grant-in-Aid for JSPS Fellows / Grant-in-Aid for JSPS Fellows / Japan Society for the Promotion of Science (JSPS)
2017-04 – 2020-03 · Project direct costs: ¥2,800,000
Selected Awards
CVPR 2026 Outstanding Reviewer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2026-10
Silver Reviewer Award
International Conference on Machine Learning (ICML) 2026 · 2026-07
Top Review Award
Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) · 2025-12
MIRU Paper Reviewing Contribution Award
IPSJ Special Interest Group on Computer Vision and Image Media (CVIM) · 2025-08
Department Chair’s Award
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo · 2020-03
IEEE CIS Japan Chapter Young Researcher Award (Evolutionary Computation)
Japanese Society for Evolutionary Computation · 2015-12
Outstanding Undergraduate Thesis Award
Department of Information and Communication Engineering, Faculty of Engineering, The University of Tokyo · 2015-03
Selected Publications
Zero-Shot Textual Explanations via Translating Decision-Critical Features
Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026 · pp. 3282–3292
★ Explaining Object Detectors via Collective Contribution of Pixels
Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 · pp. 17046–17056
★ Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
International Conference on Learning Representations (ICLR), 2026 · pp. 124615–124659
★ Matching Semantically Similar Non-Identical Objects
Yusuke Marumo, Kazuhiko Kawamoto, Satomi Tanaka, Shigenobu Hirano, Hiroshi Kera*
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026 · pp. 2752–2764
★ Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
Hiroshi Kera*†, Nico Pelleriti†, Yuki Ishihara, Max Zimmer, Sebastian Pokutta
Advances in Neural Information Processing Systems (NeurIPS), 2025 · pp. 9438–9480
★ Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning.
Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 · pp. 4884–4893
★ Learning to compute Gröbner bases
Hiroshi Kera*, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
Advances in Neural Information Processing Systems (NeurIPS), 2024 · pp. 33141–33187
★ Wide Two-Layer Networks can Learn from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Advances in Neural Information Processing Systems, 2024 · pp. 59755–59807
Monomial-agnostic computation of vanishing ideals
Hiroshi Kera*, Yoshihiko Hasegawa
Journal of Computational Algebra, 2024 · pp. 100022
★ Identifying Important Group of Pixels using Interactions
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 · pp. 6017–6026
Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Computer Vision and Image Understanding, 2024 · pp. 103936–103936
★ Adversarial Training from Mean Field PerspectiveSpotlight
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Advances in Neural Information Processing Systems, 2023 · pp. 75097–75150
★ Approximate Vanishing Ideal Computations at Scale.
Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta
International Conference on Learning Representations, 2023
★ Border Basis Computation with Gradient-Weighted Normalization.
Hiroshi Kera*
International Symposium on Symbolic and Algebraic Computation (ISSAC), 2022 · pp. 225–234
★ Adversarial Bone Length Attack on Action Recognition
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 2022 · pp. 2335–2343
★ Gradient Boosts the Approximate Vanishing Ideal.
Hiroshi Kera, Yoshihiko Hasegawa
The Thirty-Fourth AAAI Conference on Artificial Intelligence(AAAI), 2020 · pp. 4428–4435
Spurious Vanishing Problem in Approximate Vanishing Ideal
Hiroshi Kera, Yoshihiko Hasegawa
IEEE Access, 2019 · pp. 178961–178976
★ Approximate Vanishing Ideal via Data Knotting
Hiroshi Kera, Yoshihiko Hasegawa
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 · pp. 3399–3406
Noise-tolerant algebraic method for reconstruction of nonlinear dynamical systems
Hiroshi Kera, Yoshihiko Hasegawa
Nonlinear Dynamics, 2016 · pp. 675–692
Teaching and Research Supervision
Courses and Laboratories
- Project Research— Chiba University · 2026 (academic years) · Winter
- Machine Learning Exercises— Chiba University · 2026 (academic years) · Summer
- Information Engineering Laboratory 1A— Chiba University · 2021, 2022, 2023, 2024, 2025, 2026 (academic years) · Winter
- Theoretical Computer Science— Chiba University · 2021, 2023, 2025 (academic years) · Winter
- Advanced Science Seminar IIB— Chiba University · 2025 (academic years) · Winter
- Information Engineering Laboratory 3— Chiba University · 2021, 2022, 2023, 2024, 2025 (academic years) · Winter
- Special Lecture I in Mathematics and Informatics— Chiba University · 2022 (academic years) · Winter
- Basic Engineering Seminar— Chiba University · 2021, 2022 (academic years) · Summer
Research Supervision
- Special Seminar I— Chiba University · 2021, 2022, 2023, 2024, 2025, 2026 (academic years)
- Special Research I— Chiba University · 2021, 2022, 2023, 2024, 2025, 2026 (academic years)
- Graduation Research— Chiba University · 2021, 2022, 2023, 2024, 2025, 2026 (academic years)
Teaching Assistantships
- Electrical, Electronic and Information Engineering Laboratory I (First Semester)— The University of Tokyo · 2017 (academic years) · Summer
- Information II— The University of Tokyo · 2016 (academic years) · Winter
- Information I— The University of Tokyo · 2016 (academic years) · Summer · Two classes
- Software I— The University of Tokyo · 2015 (academic years) · Winter
- Programming Fundamentals— The University of Tokyo · 2014 (academic years) · Winter
Academic Service
Program Committees and Reviewing
- NeurIPS (Conference on Neural Information Processing Systems) — 2024, 2025, 2026
- ICLR (International Conference on Learning Representations) — 2024, 2025, 2026
- ICML (International Conference on Machine Learning) — 2025, 2026
- IJCAI (International Joint Conference on Artificial Intelligence) — 2021 (Senior), 2022, 2023, 2024
- CVPR (IEEE/CVF Computer Vision and Pattern Recognition) — 2023 (external reviewer), 2024, 2025
- ISSAC (International Symposium on Symbolic and Algebraic Computation) — 2026 (external reviewer)
- ICME (IEEE International Conference on Multimedia & Expo) — 2021, 2022, 2023
- MIPR (IEEE International Conference on Multimedia Information Processing and Retrieval) — 2021, 2022
- ACM Multimedia — 2021
- ICMR (ACM International Conference on Multimedia Retrieval) — 2021
- MIRU (Meeting on Image Recognition and Understanding) — 2021, 2022, 2023, 2024, 2025
Organizing / Steering Committee
- Steering Committee, Symbolic Computation and Machine Learning (SCML) (2025.07–)
- Organizing Committee, Kyushu University IMI Joint Research "Accelerating Symbolic Computation and Its Application to Industrial Problems" (2023, 2024, 2025)
- Organizing Committee, RIMS Joint Research "Deepening and Applications of Computational Algebraic Geometry via Gröbner Bases" (2025)
- Tutorial Moderator, MIRU 2022
Society Memberships
- IEEE Computational Intelligence Society (2016.11–)
- Japan Society for Symbolic and Algebraic Computation (2023.05–)
- The Japanese Society for Artificial Intelligence (2025.07–)