Vanishing ideal genetic programming. - Hiroshi Kera; Hitoshi Iba (CEC, 2016)

Discovering Objects of Joint Attention via First-Person Sensing. - Hiroshi Kera; Ryo Yonetani; Keita Higuchi; Yoichi Sato 001 (CVPR Workshops, 2016)

Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. - Yifei Huang 002; Minjie Cai; Hiroshi Kera; Ryo Yonetani; Keita Higuchi; Yoichi Sato 001 (ICCV Workshops, 2017)

Approximate Vanishing Ideal via Data Knotting. - Hiroshi Kera; Yoshihiko Hasegawa (AAAI, 2018)

Spurious Vanishing Problem in Approximate Vanishing Ideal. - Hiroshi Kera; Yoshihiko Hasegawa (IEEE Access, 2019)

Gradient Boosts the Approximate Vanishing Ideal. - Hiroshi Kera; Yoshihiko Hasegawa (AAAI, 2020)

Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. - Kevin Richard G. Operiano; Wanchalerm Pora; Hitoshi Iba; Hiroshi Kera (IEEE Access, 2021)

Monomial-agnostic computation of vanishing ideals. - Hiroshi Kera; Yoshihiko Hasegawa (CoRR, 2021)

Border Basis Computation with Gradient-Weighted Norm. - Hiroshi Kera (CoRR, 2021)

Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control. - Wataru Okamoto; Hiroshi Kera; Kazuhiko Kawamoto (CoRR, 2021)

Adversarial Bone Length Attack on Action Recognition. - Nariki Tanaka; Hiroshi Kera; Kazuhiko Kawamoto (AAAI, 2022)

Border Basis Computation with Gradient-Weighted Normalization. - Hiroshi Kera (ISSAC, 2022)

Adversarial Body Shape Search for Legged Robots. - Takaaki Azakami; Hiroshi Kera; Kazuhiko Kawamoto (SMC, 2022)

Adversarial joint attacks on legged robots. - Takuto Otomo; Hiroshi Kera; Kazuhiko Kawamoto (SMC, 2022)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation. - Kazuma Fujii; Hiroshi Kera; Kazuhiko Kawamoto (IEEE Access, 2022)

Adversarial amplitude swap towards robust image classifiers. - Chun Yang Tan; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2022)

Superclass Adversarial Attack. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (CoRR, 2022)

Game-Theoretic Understanding of Misclassification. - Kosuke Sumiyasu; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2022)

Vanishing Component Analysis with Contrastive Normalization. - Ryosuke Masuya; Yuichi Ike; Hiroshi Kera (CoRR, 2022)

Approximate Vanishing Ideal Computations at Scale. - Elias Samuel Wirth; Hiroshi Kera; Sebastian Pokutta (ICLR, 2023)

Adversarial Training from Mean Field Perspective. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (NeurIPS, 2023)

Improving Accuracy of Zero-Shot Action Recognition with Handcrafted Features. - Nan Wu; Hiroshi Kera; Kazuhiko Kawamoto (CoRR, 2023)

Exploiting Frequency Spectrum of Adversarial Images for General Robustness. - Chun Yang Tan; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2023)

Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement. - Takeshi Haga; Hiroshi Kera; Kazuhiko Kawamoto (Sensors, 2023)

Sparse fooling images: Fooling machine perception through unrecognizable images. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (Pattern Recognit. Lett., 2023)

Improving zero-shot action recognition using human instruction with text description. - Nan Wu; Hiroshi Kera; Kazuhiko Kawamoto (Appl. Intell., 2023)

Identifying Important Group of Pixels using Interactions. - Kosuke Sumiyasu; Kazuhiko Kawamoto; Hiroshi Kera (CVPR, 2024)

Theoretical Understanding of Learning from Adversarial Perturbations. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (ICLR, 2024)

Learning to compute Gröbner bases. - Hiroshi Kera; Yuki Ishihara; Yuta Kambe; Tristan Vaccon; Kazuhiro Yokoyama (NeurIPS, 2024)

Wide Two-Layer Networks can Learn from Adversarial Perturbations. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (NeurIPS, 2024)

Gröbner basis computation via learning. - Hiroshi Kera; Yuki Ishihara; Tristan Vaccon; Kazuhiro Yokoyama (SCSS (Work in Progress), 2024)

Matching Non-Identical Objects. - Yusuke Marumo; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2024)

VarteX: Enhancing Weather Forecast through Distributed Variable Representation. - Ayumu Ueyama; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2024)

Low-Quality Image Detection by Hierarchical VAE. - Tomoyasu Nanaumi; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2024)

Explaining Object Detectors via Collective Contribution of Pixels. - Toshinori Yamauchi; Hiroshi Kera; Kazuhiko Kawamoto (CoRR, 2024)

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations. - Shingo Ayabe; Takuto Otomo; Hiroshi Kera; Kazuhiko Kawamoto (CoRR, 2024)

Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition. - Nariki Tanaka; Hiroshi Kera; Kazuhiko Kawamoto (Comput. Vis. Image Underst., 2024)

Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning. - Takuma Fukuda; Hiroshi Kera; Kazuhiko Kawamoto (CVPR, 2025)

Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution. - Ru Ito; Supatta Viriyavisuthisakul; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2025)

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment. - Kazuhiko Kawamoto; Atsuhiro Endo; Hiroshi Kera (CoRR, 2025)

Adversarially Pretrained Transformers may be Universally Robust In-Context Learners. - Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki (CoRR, 2025)

Training on Plausible Counterfactuals Removes Spurious Correlations. - Shpresim Sadiku; Kartikeya Chitranshi; Hiroshi Kera; Sebastian Pokutta (CoRR, 2025)

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. - Hiroshi Kera; Nico Pelleriti; Yuki Ishihara; Max Zimmer; Sebastian Pokutta (CoRR, 2025)

CALT: A Library for Computer Algebra with Transformer. - Hiroshi Kera; Shun Arakawa; Yuta Sato (CoRR, 2025)

Gradient-Weighted, Data-Driven Normalization for Approximate Border Bases - Concept and Computation. - Hiroshi Kera; Achim Kehrein (CoRR, 2025)

Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding. - Kazuki Yoda; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2025)

Chain of Thought in Order: Discovering Learning-Friendly Orders for Arithmetic. - Yuta Sato; Kazuhiko Kawamoto; Hiroshi Kera (CoRR, 2025)