Yuhei Umeda - RankMe

27 papers A* 7A 6C 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms. ICML Sho Takemori, Yuhei Umeda, Aditya Gopalan
2024	A	`conf`	Deep Mapper: Efficient Visualization of Plausible Conformational Pathways. ECAI Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Katoh, Yuichiro Wada, Hiroaki Kurihara
2024	A	`conf`	Model-Based Best Arm Identification for Decreasing Bandits. AISTATS Sho Takemori, Yuhei Umeda, Aditya Gopalan
2024	A	`conf`	Quantum Kernelized Bandits. UAI Yasunari Hikima, Kazunori Murao, Sho Takemori, Yuhei Umeda
2024	A*	`conf`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2024	J	`jnl`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023	—	`conf`	An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway. MICCAI (1) Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa
2023	J	`jnl`	Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023	A*	`conf`	Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. WWW Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
2023	J	`jnl`	Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. CoRR Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
2023	A	`conf`	Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning. WACV So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda
2022	A*	`conf`	Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
2022	J	`jnl`	Toward Unlimited Self-Learning Monte Carlo with Annealing Process Using VAE's Implicit Isometricity. CoRR Yuma Ichikawa, Akira Nakagawa, Hiromoto Masayuki, Yuhei Umeda
2021	A	`conf`	ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. AISTATS Martin Royer, Frédéric Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike
2021	A*	`conf`	Optimizing persistent homology based functions. ICML Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda
2021	A*	`conf`	Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. IJCAI Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
2021	J	`jnl`	Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. CoRR Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda
2020	A	`conf`	PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. AISTATS Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
2020	—	`conf`	Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks. Canadian AI Meryll Dindin, Yuhei Umeda, Frédéric Chazal
2019	J	`jnl`	A General Neural Network Architecture for Persistence Diagrams and Graph Classification. CoRR Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda
2019	J	`jnl`	ATOL: Automatic Topologically-Oriented Learning. CoRR Martin Royer, Frédéric Chazal, Yuichi Ike, Yuhei Umeda
2019	A*	`conf`	DTM-Based Filtrations. SoCG Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2019	J	`jnl`	Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks. CoRR Meryll Dindin, Yuhei Umeda, Frédéric Chazal
2018	J	`jnl`	DTM-based filtrations. CoRR Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike, Hiroya Inakoshi, Raphaël Tinarrage, Yuhei Umeda
2018	C	`conf`	Simultaneous Optimization of Statistical Model and Control Input Plan. ACC Yoshinobu Iimura, Masashi Wakaiki, Katsumi Homma, Yuhei Umeda, Junji Kaneko, Hiroyuki Higuchi, Kazumi Kubota, Naoya Asami, Kazuto Ikeda
2017	J	`jnl`	Time Series Classification via Topological Data Analysis. Inf. Media Technol. Yuhei Umeda
2009	J	`jnl`	Constant-Mean-Curvature Surfaces with Singularities in Minkowski 3-Space. Exp. Math. Yuhei Umeda