Shin-ichi Maeda

CoRR, 2024

2023

Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy.

[BibT_eX]

[DOI]

Masataka Ohashi

Chikara Sato

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.

[BibT_eX]

[DOI]

Kenta Oono

Nontawat Charoenphakdee

CoRR, 2023

Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand.

[BibT_eX]

[DOI]

IROS, 2023

Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

JPEG Information Regularized Deep Image Prior for Denoising.

[BibT_eX]

[DOI]

Tsukasa Takagi

Shinya Ishizaki

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping.

[BibT_eX]

[DOI]

Guilherme Maeda

Naoki Fukaya

IEEE Robotics Autom. Lett., 2022

F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2021

Reconnaissance for Reinforcement Learning with Safety Constraints.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Meta Learning as Bayes Risk Minimization.

[BibT_eX]

[DOI]

Toshiki Nakanishi

Masanori Koyama

CoRR, 2020

MANGA: Method Agnostic Neural-policy Generalization and Adaptation.

[BibT_eX]

[DOI]

Homanga Bharadhwaj

Shoichiro Yamaguchi

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Reconnaissance and Planning algorithm for constrained MDP.

[BibT_eX]

[DOI]

CoRR, 2019

Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks.

[BibT_eX]

[DOI]

Katsuhiko Ishiguro

Masanori Koyama

CoRR, 2019

Robustness to Adversarial Perturbations in Learning from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback.

[BibT_eX]

[DOI]

CoRR, 2018

BayesGrad: Explaining Predictions of Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Clipped Action Policy Gradient.

[BibT_eX]

[DOI]

Yasuhiro Fujita

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Multi-scale Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.

[BibT_eX]

[DOI]

Neural Networks, 2017

CyanoBase: a large-scale update on its 20th anniversary.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2017

Sparse Bayesian linear regression with latent masking variables.

[BibT_eX]

[DOI]

Yohei Kondo

Kohei Hayashi

Neurocomputing, 2017

Semi-supervised learning of hierarchical representations of molecules using neural message passing.

[BibT_eX]

[DOI]

Hai Nguyen

Kenta Oono

CoRR, 2017

Neural Sequence Model Training via $α$-divergence Minimization.

[BibT_eX]

[DOI]

CoRR, 2017

Synthetic Gradient Methods with Virtual Forward-Backward Networks.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

An occlusion-aware particle filter tracker to handle complex and persistent occlusions.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2016

Distributional Smoothing by Virtual Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Computer and Robot Vision, 2016

2015

Efficient Monte Carlo Image Analysis for the Location of Vascular Entity.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood.

[BibT_eX]

[DOI]

Kohei Hayashi

Ryohei Fujimaki

Proceedings of the 32nd International Conference on Machine Learning, 2015

Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias.

[BibT_eX]

[DOI]

Yohei Kondo

Kohei Hayashi

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

A Bayesian encourages dropout.

[BibT_eX]

[DOI]

CoRR, 2014

2012

Asymptotic analysis of value prediction by well-specified and misspecified models.

[BibT_eX]

[DOI]

Tsuyoshi Ueno

Neural Networks, 2012

Control of a Free-Falling Cat by Policy-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Daichi Nakano

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Generalized TD Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Motion Compensated X-ray CT Algorithm for Moving Objects.

[BibT_eX]

[DOI]

Takumi Tanaka

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Sparse Bayesian Learning of Filters for Efficient Image Expansion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Bayesian image superresolution and hidden variable modeling.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2010

Bayesian X-ray computed tomography using material class knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Learning a multi-dimensional companding function for lossy source coding.

[BibT_eX]

[DOI]

Neural Networks, 2009

Superresolution with compound Markov random fields via the variational EM algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2009

Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics.

[BibT_eX]

[DOI]

Mizuki Ihara

Neural Comput. Appl., 2009

Optimal Online Learning Procedures for Model-Free Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Learning of Go Board State Evaluation Function by Artificial Neural Network.

[BibT_eX]

[DOI]

Hiroki Tomizawa

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Superresolution from Occluded Scenes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Learning color image expansion filters.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

2008

A semiparametric statistical approach to model-free policy evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis.

[BibT_eX]

[DOI]

Junichiro Hirayama

IEEE Trans. Neural Networks, 2007

Estimation of the Source-Filter Model Using Temporal Dynamics.

[BibT_eX]

[DOI]

Mizuki Ihara

Proceedings of the International Joint Conference on Neural Networks, 2007

Optimization of Parametric Companding Function for an Efficient Coding.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

2005

Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.

[BibT_eX]

[DOI]

Wen-Jie Song