Publications
Research Areas :
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
ICML 2023
Machine Learning / Deep Learning
By : Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling
ICAIF 2023
Advanced Robotics 2023
Machine Learning / Deep Learning
By : Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Unsupervised Learning of Equivariant Structure from Sequence
NeurIPS 2022
Machine Learning / Deep Learning
By : Takeru Miyato, Masanori Koyama, Kenji Fukumizu
Decomposing NeRF for Editing via Feature Field Distillation
NeurIPS 2022
Machine Learning / Deep Learning
By : Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Interactive Hyperparameter Optimization with Paintable Timelines
DIS 2021
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
Machine Learning / Deep Learning
By : Keita Higuchi, Shotaro Sano, Takeo Igarashi
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
ICCV 2021
Machine Learning / Deep Learning
By : Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
CVPR 2021
Machine Learning / Deep Learning
By : Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
Surrogate Gradient Field for Latent Space Manipulation
CVPR 2021
Machine Learning / Deep Learning
By : Minjun Li, Yanghua Jin, Huachun Zhu
Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction
AAMAS 2021
Machine Learning / Deep Learning
By : Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa